Power BI Consultant London Hybrid 4 days on site 450 - 500 6 months We are seeking an experienced Power BI Consultant to lead a high-profile migration from QlikSense to Power BI within a leading organisation. This is a hands-on role for someone who can hit the ground running, take ownership of the migration, and deliver robust, scalable reporting solutions. You will play a key part in redesigning and optimising the existing analytics environment using modern data platforms. Key Responsibilities Lead the end-to-end migration from QlikSense to Power BI Assess and translate existing dashboards, reports, and data models into Power BI equivalents Design and build high-quality reports and dashboards aligned with business requirements Develop and optimise semantic models (data models) in Power BI Collaborate with data engineering teams working across Fabric, Azure, and Databricks Ensure best practices across performance, governance, and usability Engage with stakeholders to gather requirements and deliver actionable insights Required Skills & Experience Proven experience delivering BI migrations (ideally QlikSense to Power BI) Strong expertise in Power BI (reporting, DAX, data modelling, performance tuning) Experience building and managing semantic/data models Strong experience working with Azure, Databricks and Fabric Strong stakeholder engagement and communication skills Experience in the financial sector is advantageous If this is a role that suits your skill set and you are available to work 4 days per week on site in the London office then please apply for the job advert or email me your CV to (url removed) Power BI Consultant London Hybrid 4 days on site 450 - 500 6 months
Jun 23, 2026
Contractor
Power BI Consultant London Hybrid 4 days on site 450 - 500 6 months We are seeking an experienced Power BI Consultant to lead a high-profile migration from QlikSense to Power BI within a leading organisation. This is a hands-on role for someone who can hit the ground running, take ownership of the migration, and deliver robust, scalable reporting solutions. You will play a key part in redesigning and optimising the existing analytics environment using modern data platforms. Key Responsibilities Lead the end-to-end migration from QlikSense to Power BI Assess and translate existing dashboards, reports, and data models into Power BI equivalents Design and build high-quality reports and dashboards aligned with business requirements Develop and optimise semantic models (data models) in Power BI Collaborate with data engineering teams working across Fabric, Azure, and Databricks Ensure best practices across performance, governance, and usability Engage with stakeholders to gather requirements and deliver actionable insights Required Skills & Experience Proven experience delivering BI migrations (ideally QlikSense to Power BI) Strong expertise in Power BI (reporting, DAX, data modelling, performance tuning) Experience building and managing semantic/data models Strong experience working with Azure, Databricks and Fabric Strong stakeholder engagement and communication skills Experience in the financial sector is advantageous If this is a role that suits your skill set and you are available to work 4 days per week on site in the London office then please apply for the job advert or email me your CV to (url removed) Power BI Consultant London Hybrid 4 days on site 450 - 500 6 months
Overview Expleo is seeking a Data Engineer / Data Scientist with a strong background in IT quality, testing, and aerospace engineering to join our dynamic team in Derby. This role is ideal for someone who thrives in high-integrity environments and is passionate about ensuring data accuracy, reliability, and performance in mission-critical systems. You'll work at the intersection of Python development, data validation, and engineering analytics, supporting aerospace programmes with cutting-edge tools and methodologies. Responsibilities Rapidly design, configure & deploy EHM solutions to support the service and improve its effectiveness. Capture requirements for EHM improvements through Value Delivery Board, Project Zero and any other relevant forums. Design and implement automated testing frameworks to validate data pipelines and ensure compliance with aerospace standards. Develop and maintain Python scripts for data validation, anomaly detection, and quality assurance. Analyse complex datasets to identify trends, inconsistencies, and optimisation opportunities. Collaborate with engineering and IT teams to define data requirements, testing protocols, and quality benchmarks. Respond to in-service issues by reconfiguring live data streams and deploying new analytics to maintain fleet-level data integrity. Drive continuous improvement initiatives, embedding best practices in IT quality and testing across the data lifecycle. Work with customers to enhance the value of EHM services & identify future EHM opportunities. Qualifications Degree in Aero Engineering, Data Science, Computer Science, Data Engineering or relevant experience in EHM service, engine performance or service engineering or a related field. Essential skills Python expertise - able to design, test, and optimise robust scripts and frameworks for data analysis, automation, and quality assurance. Strong proficiency in SQL for querying, manipulation, and quality assurance. Solid understanding of IT quality principles, testing methodologies, and defect management. Strong analytical and problem-solving skills, with attention to detail and ability to meet tight deadlines. Excellent communication and collaboration skills across technical and non-technical teams. Familiarity with Azure cloud-based data platforms is desirable. Focused on results, able to work under pressure, equally capable of managing short term deadlines and long-term projects. Positive attitude to work, strong team working skills and ethical behaviour, being able to work with minimum supervision. Strong IT user & configuration skills (to include applications such as SQL, Power BI, Matlab, Phyton, MS Azure, Databricks) Experience Knowledge of statistical analysis and data modelling techniques. Experience with data quality monitoring tools or test automation frameworks. Experience with MATLAB or similar engineering analysis tools is preferred. Aerospace or engineering sector experience, ideally in Engine Health Monitoring, Engine Performance, or Service Engineering. Proven experience in testing & validation - building automated checks, ensuring data integrity, and applying Python in complex engineering or aerospace contexts. Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people "We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age". We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
Jun 23, 2026
Full time
Overview Expleo is seeking a Data Engineer / Data Scientist with a strong background in IT quality, testing, and aerospace engineering to join our dynamic team in Derby. This role is ideal for someone who thrives in high-integrity environments and is passionate about ensuring data accuracy, reliability, and performance in mission-critical systems. You'll work at the intersection of Python development, data validation, and engineering analytics, supporting aerospace programmes with cutting-edge tools and methodologies. Responsibilities Rapidly design, configure & deploy EHM solutions to support the service and improve its effectiveness. Capture requirements for EHM improvements through Value Delivery Board, Project Zero and any other relevant forums. Design and implement automated testing frameworks to validate data pipelines and ensure compliance with aerospace standards. Develop and maintain Python scripts for data validation, anomaly detection, and quality assurance. Analyse complex datasets to identify trends, inconsistencies, and optimisation opportunities. Collaborate with engineering and IT teams to define data requirements, testing protocols, and quality benchmarks. Respond to in-service issues by reconfiguring live data streams and deploying new analytics to maintain fleet-level data integrity. Drive continuous improvement initiatives, embedding best practices in IT quality and testing across the data lifecycle. Work with customers to enhance the value of EHM services & identify future EHM opportunities. Qualifications Degree in Aero Engineering, Data Science, Computer Science, Data Engineering or relevant experience in EHM service, engine performance or service engineering or a related field. Essential skills Python expertise - able to design, test, and optimise robust scripts and frameworks for data analysis, automation, and quality assurance. Strong proficiency in SQL for querying, manipulation, and quality assurance. Solid understanding of IT quality principles, testing methodologies, and defect management. Strong analytical and problem-solving skills, with attention to detail and ability to meet tight deadlines. Excellent communication and collaboration skills across technical and non-technical teams. Familiarity with Azure cloud-based data platforms is desirable. Focused on results, able to work under pressure, equally capable of managing short term deadlines and long-term projects. Positive attitude to work, strong team working skills and ethical behaviour, being able to work with minimum supervision. Strong IT user & configuration skills (to include applications such as SQL, Power BI, Matlab, Phyton, MS Azure, Databricks) Experience Knowledge of statistical analysis and data modelling techniques. Experience with data quality monitoring tools or test automation frameworks. Experience with MATLAB or similar engineering analysis tools is preferred. Aerospace or engineering sector experience, ideally in Engine Health Monitoring, Engine Performance, or Service Engineering. Proven experience in testing & validation - building automated checks, ensuring data integrity, and applying Python in complex engineering or aerospace contexts. Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people "We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age". We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.
Data Engineer Hybrid - work from home + London c£60k - £70k + Bens An exciting opportunity is available for a curious and technically ambitious Data Engineer looking to take on greater ownership. Working closely with global Finance teams and external integration partners, you'll play a pivotal role in engaging stakeholders, shaping requirements, and contributing to solution design from the outset. This role is suited to mid-level or experienced data engineers with a strong understanding of modern cloud platforms such as Snowflake, Databricks, or Microsoft Fabric, who are keen to move beyond maintenance work and help shape a platform. The client is a leading organisation in the live entertainment sector, making this particularly relevant for candidates with experience in fast-paced B2C environments such as retail, e-commerce, media, food & beverage, or travel and hospitality. Based in Central London, the company operates a flexible hybrid model, with occasional on-site attendance required. The Finance Lakehouse solution is built on Microsoft Fabric, with Power BI Direct Lake at its core, and integrates with Microsoft Dynamics 365 data across multiple regions. It serves as the central repository for finance dataflows, reducing manual processes and data duplication across the business. You'll work closely with the Data Architect, who is currently the primary resource supporting the system. The aim is to share ownership, improve resilience during busy periods, and accelerate delivery of new features and enhancements. While Fabric is the primary platform, part of the role involves optimising its use identifying limitations, improving efficiency, and implementing practical workarounds. You'll also work with their Snowflake platform, identifying opportunities to shift functionality where it improves performance, scalability, or resilience. Key responsibilities Develop, test and document new features for the Finance Lakehouse platform. Share ownership of the product backlog with the Data Architect. Share ownership of Azure and Power BI assets, including BAU support and incident response. Build relationships with Finance stakeholders and external integration partners. Drive improvements to the development environment and ways of working, in partnership with the Data Architect. Stay current with platform developments and contribute ideas for improving or evolving the architecture. Skills, qualities and experience Familiar with modern cloud data platforms such as DataBricks, Snowflake or MS Fabric. Comfortable engaging directly with stakeholders, taking ownership of technical decisions, and contributing to the broader data strategy. Essential SQL PySpark/Python DBT Azure knowledge (i.e. Logic apps) Power BI/Fabric Semantic Models Ability to work with stakeholders with their own operational pressures. Able to follow best practices and adapt where needed. Desirable Previous experience of working with D365 data. Fabric experience in an enterprise setting, including monitoring. Snowflake or Databricks experience API Integration (OData ideally) Basic accounting knowledge Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000 plus a comprehensive benefits package. For further information, please send your CV to Wayne Young at Youngs Employment Services Ltd. YES acts in the capacity of both an Employment Agent and Employment Business.
Jun 22, 2026
Full time
Data Engineer Hybrid - work from home + London c£60k - £70k + Bens An exciting opportunity is available for a curious and technically ambitious Data Engineer looking to take on greater ownership. Working closely with global Finance teams and external integration partners, you'll play a pivotal role in engaging stakeholders, shaping requirements, and contributing to solution design from the outset. This role is suited to mid-level or experienced data engineers with a strong understanding of modern cloud platforms such as Snowflake, Databricks, or Microsoft Fabric, who are keen to move beyond maintenance work and help shape a platform. The client is a leading organisation in the live entertainment sector, making this particularly relevant for candidates with experience in fast-paced B2C environments such as retail, e-commerce, media, food & beverage, or travel and hospitality. Based in Central London, the company operates a flexible hybrid model, with occasional on-site attendance required. The Finance Lakehouse solution is built on Microsoft Fabric, with Power BI Direct Lake at its core, and integrates with Microsoft Dynamics 365 data across multiple regions. It serves as the central repository for finance dataflows, reducing manual processes and data duplication across the business. You'll work closely with the Data Architect, who is currently the primary resource supporting the system. The aim is to share ownership, improve resilience during busy periods, and accelerate delivery of new features and enhancements. While Fabric is the primary platform, part of the role involves optimising its use identifying limitations, improving efficiency, and implementing practical workarounds. You'll also work with their Snowflake platform, identifying opportunities to shift functionality where it improves performance, scalability, or resilience. Key responsibilities Develop, test and document new features for the Finance Lakehouse platform. Share ownership of the product backlog with the Data Architect. Share ownership of Azure and Power BI assets, including BAU support and incident response. Build relationships with Finance stakeholders and external integration partners. Drive improvements to the development environment and ways of working, in partnership with the Data Architect. Stay current with platform developments and contribute ideas for improving or evolving the architecture. Skills, qualities and experience Familiar with modern cloud data platforms such as DataBricks, Snowflake or MS Fabric. Comfortable engaging directly with stakeholders, taking ownership of technical decisions, and contributing to the broader data strategy. Essential SQL PySpark/Python DBT Azure knowledge (i.e. Logic apps) Power BI/Fabric Semantic Models Ability to work with stakeholders with their own operational pressures. Able to follow best practices and adapt where needed. Desirable Previous experience of working with D365 data. Fabric experience in an enterprise setting, including monitoring. Snowflake or Databricks experience API Integration (OData ideally) Basic accounting knowledge Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000 plus a comprehensive benefits package. For further information, please send your CV to Wayne Young at Youngs Employment Services Ltd. YES acts in the capacity of both an Employment Agent and Employment Business.
Job Title: Data Architect - Databricks - dbt - Azure Location: London - 2 days per week in the office Salary/Rate: 500 per day inside IR35 Start Date: 13/07/2026 Job Type: Contract until the end of the year Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Enterprise Data Architect with strong Databricks, dbt and Azure experience to join their team for a contract until the end of the year. Job Responsibilities/Objectives Mandatory Skills: Databricks (PySpark / Spark SQL) , DBT , Azure DevOps (Repos, Pipelines, CI/CD), SQL ,Azure Data Services (Data Lake, Data Factory) Strong experience with Databricks (PySpark / Spark SQL) Hands-on expertise in DBT Expertise in Azure DevOps (Repos, Pipelines, CI/CD) Proficiency in SQL and Python Experience with Azure Data Services (Data Lake, Data Factory) Strong knowledge of Data warehousing and ETL/ELT concepts Knowledge of Data governance and security best practices Design and Leading the team of Data Engineers Manage stakeholder interactions independently. Good to Have Experience with Fivetran for data ingestion Experience with Prefect for workflow orchestration If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Jun 22, 2026
Contractor
Job Title: Data Architect - Databricks - dbt - Azure Location: London - 2 days per week in the office Salary/Rate: 500 per day inside IR35 Start Date: 13/07/2026 Job Type: Contract until the end of the year Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Enterprise Data Architect with strong Databricks, dbt and Azure experience to join their team for a contract until the end of the year. Job Responsibilities/Objectives Mandatory Skills: Databricks (PySpark / Spark SQL) , DBT , Azure DevOps (Repos, Pipelines, CI/CD), SQL ,Azure Data Services (Data Lake, Data Factory) Strong experience with Databricks (PySpark / Spark SQL) Hands-on expertise in DBT Expertise in Azure DevOps (Repos, Pipelines, CI/CD) Proficiency in SQL and Python Experience with Azure Data Services (Data Lake, Data Factory) Strong knowledge of Data warehousing and ETL/ELT concepts Knowledge of Data governance and security best practices Design and Leading the team of Data Engineers Manage stakeholder interactions independently. Good to Have Experience with Fivetran for data ingestion Experience with Prefect for workflow orchestration If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Reed Technology
Newcastle Upon Tyne, Tyne And Wear
Location: Newcastle upon Tyne (primarily remote, occasional travel) Contract Type: Contract (Outside IR35) Day Rate: Up to 800 per day The Opportunity We're partnering with a highly respected Software business to find an experienced Data Engineer to support a major client engagement. This is a hands-on, client-facing role where you'll play a key part in shaping and delivering modern data platforms and pipelines. You'll work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them into effective technical solutions Build and optimise data ingestion, transformation, and storage processes Develop integrated data models to enable reporting, analytics, and AI use cases Provide technical leadership and guidance to engineers within the delivery team Contribute to architectural decisions and best practices across the project lifecycle Key Skills & Experience we're looking for: Strong background in data engineering and software development Proven experience working with Databricks (essential) Hands-on expertise with tools such as Python, PySpark, Spark, and SQL Experience building and maintaining data pipelines and data platforms Solid understanding of data modelling and data architecture principles Experience working with cloud platforms (AWS, Azure, or GCP) Comfortable working in client-facing environments Why Apply? Great flexible working arrangement Opportunity to work on complex, high-impact data projects Collaborative, engineering-led culture with a focus on quality
Jun 22, 2026
Contractor
Location: Newcastle upon Tyne (primarily remote, occasional travel) Contract Type: Contract (Outside IR35) Day Rate: Up to 800 per day The Opportunity We're partnering with a highly respected Software business to find an experienced Data Engineer to support a major client engagement. This is a hands-on, client-facing role where you'll play a key part in shaping and delivering modern data platforms and pipelines. You'll work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them into effective technical solutions Build and optimise data ingestion, transformation, and storage processes Develop integrated data models to enable reporting, analytics, and AI use cases Provide technical leadership and guidance to engineers within the delivery team Contribute to architectural decisions and best practices across the project lifecycle Key Skills & Experience we're looking for: Strong background in data engineering and software development Proven experience working with Databricks (essential) Hands-on expertise with tools such as Python, PySpark, Spark, and SQL Experience building and maintaining data pipelines and data platforms Solid understanding of data modelling and data architecture principles Experience working with cloud platforms (AWS, Azure, or GCP) Comfortable working in client-facing environments Why Apply? Great flexible working arrangement Opportunity to work on complex, high-impact data projects Collaborative, engineering-led culture with a focus on quality
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Jun 22, 2026
Full time
About the Company A leading UK consulting and administration business specialising in pensions and insurance services. The organisation combines deep industry expertise with advanced technology and analytics to support large-scale pension schemes and their sponsoring employers. It provides administration for over one million members and delivers advisory services across schemes of all sizes, including many with assets exceeding £1bn. It also supports insurance clients in the life and bulk annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data is clean, reliable, and structured for use in Azure ML Studio workflows. Software Development Produce clean, efficient, and production-grade Python code. Apply CI/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments in Azure Machine Learning Studio, MLOps, and data science technologies, identifying opportunities to improve models, automation, and delivery efficiency. Training and Knowledge Sharing Support and train team members on machine learning approaches and Azure ML Studio workflows, including deployment and monitoring practices. Stakeholder Communication Clearly explain machine learning concepts and Azure ML Studio-based solutions to both technical and non-technical stakeholders. Job Requirements Essential Strong hands-on experience with Azure Machine Learning Studio (AML Studio), including end-to-end model development, deployment, monitoring, and life cycle management in production environments Experience building and optimising ML models using Azure ML workflows Strong Python and SQL skills for data manipulation, modelling, and automation Experience with Azure Data Factory (ADF) for data pipeline development Strong understanding of CI/CD and MLOps practices, ideally within Azure environments Experience with data visualisation tools such as Power BI Strong communication skills with ability to explain technical concepts clearly to non-technical audiences Desirable Experience in pensions, insurance, or regulated financial services Experience working in multidisciplinary analytics or actuarial teams Broader exposure to Azure ecosystem tools (eg, Azure DevOps, Databricks) Key Requirement The most critical requirement for this role is hands-on, production-level experience with Azure Machine Learning Studio (AML Studio), including building and deploying ML models end-to-end, managing model life cycle in production, implementing MLOps workflows (monitoring, drift detection, retraining), and integrating Azure ML Studio with data pipelines and CI/CD processes. Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Data Engineer SQL London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 45,000 to 50,000 dependent on experience Ref J13133 We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products. Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors. What You'll Be Doing Building and maintaining data pipelines using SQL and Python Developing data models for analytics and AI applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience Exposure to Azure, AWS or GCP Understanding of data modelling and data warehousing principles Experience working with Git and CI/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 21, 2026
Full time
Data Engineer SQL London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 45,000 to 50,000 dependent on experience Ref J13133 We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products. Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors. What You'll Be Doing Building and maintaining data pipelines using SQL and Python Developing data models for analytics and AI applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience Exposure to Azure, AWS or GCP Understanding of data modelling and data warehousing principles Experience working with Git and CI/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Opus Recruitment Solutions Ltd
Newcastle Upon Tyne, Tyne And Wear
Data Engineer (Streaming) - Requirements Strong coding in Java (preferred) or Python Experience with Kafka, Flink, or Spark (Flink/Kafka ideal) Solid understanding of stream processing (event time, state, backpressure) Experience building ETL/ELT or real-time data pipelines Knowledge of microservices and distributed systems Tech & Cloud Experience with AWS, Azure, or GCP (AWS preferred) Familiarity with Databricks, Snowflake, or BigQuery Engineering Practices Strong in testing, CI/CD, Git Experience with Terraform, Docker, Kubernetes Experience 3+ years in data engineering Agile experience and strong communication skills Nice to Have Consulting/client-facing experience Real-time/low-latency systems Certifications or mentoring experience Details 12 month FTC, very likely to convert to perm Upto 3 days per week in Newcastle Pay dependant on experience SC Clearance Essential
Jun 21, 2026
Seasonal
Data Engineer (Streaming) - Requirements Strong coding in Java (preferred) or Python Experience with Kafka, Flink, or Spark (Flink/Kafka ideal) Solid understanding of stream processing (event time, state, backpressure) Experience building ETL/ELT or real-time data pipelines Knowledge of microservices and distributed systems Tech & Cloud Experience with AWS, Azure, or GCP (AWS preferred) Familiarity with Databricks, Snowflake, or BigQuery Engineering Practices Strong in testing, CI/CD, Git Experience with Terraform, Docker, Kubernetes Experience 3+ years in data engineering Agile experience and strong communication skills Nice to Have Consulting/client-facing experience Real-time/low-latency systems Certifications or mentoring experience Details 12 month FTC, very likely to convert to perm Upto 3 days per week in Newcastle Pay dependant on experience SC Clearance Essential
Senior IDMC / IICS Developer Location: Hybrid (2-3 days onsite, London) Position Type: Permanent Salary: £50,000 - £60,000 per annum + Benefits Experience Required: 6-8 years in Data Integration / ETL About the Role Are you a seasoned Data Integration specialist with deep expertise in cloud ecosystems? We are seeking a Senior IDMC Developer to join a global, fast-paced data engineering team. In this role, you will be the driving force behind designing, building, and optimizing enterprise-scale data pipelines. This is a fantastic opportunity for an Informatica expert who thrives on connecting complex SaaS environments, modern cloud data warehouses, and real-time application networks. Key Responsibilities End-to-End Development: Design, implement, and maintain robust cloud data integration solutions utilizing the full suite of Informatica IDMC/IICS services. Batch & Real-Time Integration: Build and optimize highly efficient, reusable mappings and taskflows using Cloud Data Integration (CDI) , alongside real-time process objects via Cloud Application Integration (CAI) . Cloud Ecosystem Connectivity: Seamlessly integrate data across major cloud platforms (AWS, Azure, GCP), SaaS applications, and modern data warehouses like Snowflake or Databricks . Performance Tuning: Act as the senior technical lead for debugging, advanced error handling, and pipeline optimization to ensure high scalability and performance. Collaboration: Partner closely with Solution Architects and Business Analysts to translate complex requirements into technical realities, ensuring clear documentation every step of the way. What We Are Looking For Informatica Expertise: A strong, proven track record of hands-on experience specifically with Informatica IDMC or IICS (this is a mandatory requirement). The Full Suite: Deep proficiency in both CDI and CAI modules. Data Environment Knowledge: Solid experience integrating with cloud data platforms (Snowflake, Databricks) and cloud providers (AWS/Azure/GCP). Experience: 6-8 years of overall experience in ETL/Data Integration. Best Practices: A strong understanding of data governance, security protocols, and compliance frameworks. Education: Bachelor's degree in Computer Science, IT, or a related discipline (or equivalent practical experience). Apply: If you are interested then please apply or share your updated CV on yogeshwari digital with your availability and I will give you a call back to discuss the role further. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jun 21, 2026
Full time
Senior IDMC / IICS Developer Location: Hybrid (2-3 days onsite, London) Position Type: Permanent Salary: £50,000 - £60,000 per annum + Benefits Experience Required: 6-8 years in Data Integration / ETL About the Role Are you a seasoned Data Integration specialist with deep expertise in cloud ecosystems? We are seeking a Senior IDMC Developer to join a global, fast-paced data engineering team. In this role, you will be the driving force behind designing, building, and optimizing enterprise-scale data pipelines. This is a fantastic opportunity for an Informatica expert who thrives on connecting complex SaaS environments, modern cloud data warehouses, and real-time application networks. Key Responsibilities End-to-End Development: Design, implement, and maintain robust cloud data integration solutions utilizing the full suite of Informatica IDMC/IICS services. Batch & Real-Time Integration: Build and optimize highly efficient, reusable mappings and taskflows using Cloud Data Integration (CDI) , alongside real-time process objects via Cloud Application Integration (CAI) . Cloud Ecosystem Connectivity: Seamlessly integrate data across major cloud platforms (AWS, Azure, GCP), SaaS applications, and modern data warehouses like Snowflake or Databricks . Performance Tuning: Act as the senior technical lead for debugging, advanced error handling, and pipeline optimization to ensure high scalability and performance. Collaboration: Partner closely with Solution Architects and Business Analysts to translate complex requirements into technical realities, ensuring clear documentation every step of the way. What We Are Looking For Informatica Expertise: A strong, proven track record of hands-on experience specifically with Informatica IDMC or IICS (this is a mandatory requirement). The Full Suite: Deep proficiency in both CDI and CAI modules. Data Environment Knowledge: Solid experience integrating with cloud data platforms (Snowflake, Databricks) and cloud providers (AWS/Azure/GCP). Experience: 6-8 years of overall experience in ETL/Data Integration. Best Practices: A strong understanding of data governance, security protocols, and compliance frameworks. Education: Bachelor's degree in Computer Science, IT, or a related discipline (or equivalent practical experience). Apply: If you are interested then please apply or share your updated CV on yogeshwari digital with your availability and I will give you a call back to discuss the role further. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 20, 2026
Full time
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 20, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 20, 2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 20, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13120 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 20, 2026
Full time
Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13120 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities. Essential Skills Proven experience in Data Engineering or Software Engineering. Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark /PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: 30-50% hands-on coding + technical problem-solving Key Responsibilities Lead end-to-end delivery of data engineering solutions. Design and build scalable data pipelines using Databricks and Azure. Develop and optimise solutions using Python and PySpark. Drive engineering best practices, code reviews, and technical standards. Work closely with architecture, business, and technology stakeholders. Mentor and support engineers within the team. Contribute to data platform and Lakehouse architecture decisions. What We're Looking For Approximately 60% hands-on engineering and 40% technical leadership. Proven experience leading data engineering teams. Strong stakeholder management and communication skills. Experience delivering greenfield data platform initiatives. This is an excellent opportunity to join a high-profile programme with significant scope for extension and future team growth. Why Join Us? Work on innovative projects that make a difference in the financial sector. Collaborate with a talented team in a vibrant environment. Enjoy a competitive daily rate and flexible working arrangements. If you are ready to take your career to the next level and contribute to exciting projects, apply now! We can't wait to meet you! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Jun 20, 2026
Contractor
Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities. Essential Skills Proven experience in Data Engineering or Software Engineering. Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark /PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: 30-50% hands-on coding + technical problem-solving Key Responsibilities Lead end-to-end delivery of data engineering solutions. Design and build scalable data pipelines using Databricks and Azure. Develop and optimise solutions using Python and PySpark. Drive engineering best practices, code reviews, and technical standards. Work closely with architecture, business, and technology stakeholders. Mentor and support engineers within the team. Contribute to data platform and Lakehouse architecture decisions. What We're Looking For Approximately 60% hands-on engineering and 40% technical leadership. Proven experience leading data engineering teams. Strong stakeholder management and communication skills. Experience delivering greenfield data platform initiatives. This is an excellent opportunity to join a high-profile programme with significant scope for extension and future team growth. Why Join Us? Work on innovative projects that make a difference in the financial sector. Collaborate with a talented team in a vibrant environment. Enjoy a competitive daily rate and flexible working arrangements. If you are ready to take your career to the next level and contribute to exciting projects, apply now! We can't wait to meet you! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Data Engineer - Python / SQL / Spark / Databricks is required by highly successful and fast growing technology consultancy. As a Data Engineer, you ll be part of a client team building innovative products. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You re also an effective communicator and a strong team player. Together with your team, you ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects. Preferred skills: Designing and building data-intensive applications and pipelines One or more programming languages, typically Python and SQL Some or all of the following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot and improve data products, ensuring reliability and quality You will have an academic record of achievement, minimum 2.1 at a top tier university Excellent training and career development opportunities exist for the right candidate. Based Newcastle upon Tyne Basic salary £(phone number removed) + bonus + excellent benefits
Jun 20, 2026
Full time
Data Engineer - Python / SQL / Spark / Databricks is required by highly successful and fast growing technology consultancy. As a Data Engineer, you ll be part of a client team building innovative products. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You re also an effective communicator and a strong team player. Together with your team, you ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects. Preferred skills: Designing and building data-intensive applications and pipelines One or more programming languages, typically Python and SQL Some or all of the following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot and improve data products, ensuring reliability and quality You will have an academic record of achievement, minimum 2.1 at a top tier university Excellent training and career development opportunities exist for the right candidate. Based Newcastle upon Tyne Basic salary £(phone number removed) + bonus + excellent benefits
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Join Our Team as a Senior Data Engineer! Are you a passionate Data Engineer with a flair for innovation? Do you thrive in a dynamic environment where your skills can shape the future of data architecture? If so, we have the perfect opportunity for you! Our client, a leader in the Utilities sector, is seeking a Senior Data Engineer for a temporary role of 3 months. Role: Senior Data Engineer Duration: 3 Months (extension options) Location: Warwick (Hybrid - 1 day on site) Rate: 500- 550 per day (umbrella) Role Overview: As a Senior Data Engineer, you will play a pivotal role in enhancing the Interconnectors Data Platform (ICDP), a cloud-based data warehouse essential for commercial, financial modeling, and operational decision-making. With the platform evolving towards a modernized Medallion Architecture and Azure-native ingestion patterns, your expertise will drive architectural direction and technical leadership. Key Responsibilities: Data Architecture & Platform Engineering: Lead the design and implementation of scalable data architectures using Bronze/Silver/Gold layered models. Shape the platform's architectural roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated layers, and reusable data models. Embed CI/CD, testing, version control, and observability into workflows. Data Quality & Governance: Ensure robust data validation, reconciliation, profiling, and auditability across platform layers. Collaborate with business stakeholders to guarantee analytical and operational needs are met. Leadership: Mentor fellow data engineers, fostering technical growth within the ICDP team. Collaborate with Product teams, IT&D, and external partners to achieve high-quality outcomes. Serve as a technical authority on engineering approaches, patterns, and standards. Required Skills & Experience: Essential Technical Skills: Python: Strong hands-on experience in building production-grade data pipelines and orchestration. Advanced SQL: Expert-level skills in analytical SQL, query optimization, and data modeling. Azure Cloud: Familiarity with Azure Functions, Azure Data Factory, Azure Storage, and cloud security fundamentals. Data Warehousing: In-depth understanding of data architecture principles and scalable enterprise data design. Version Control: Proficient in Git, CI/CD, automated testing, and modern engineering practices. Pipeline Design: Experience with API ingestion, SFTP ingestion, and resilient pipeline design. Soft Skills: Exceptional problem-solving and architectural thinking abilities. Strong communication and stakeholder collaboration skills. Capability to lead and provide clarity in complex technical environments. Desirable Experience: Involvement in data-platform re-architecture programs. Exposure to Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Why Join Us? This is your chance to be part of a transformative journey in the Utilities industry! Not only will you be enhancing your skills, but you will also contribute to a vital platform that impacts decision-making at every level. If you're ready to take on this exciting challenge and make a significant impact, we want to hear from you! Apply now and become a key player in our client's innovative team! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Jun 20, 2026
Contractor
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Join Our Team as a Senior Data Engineer! Are you a passionate Data Engineer with a flair for innovation? Do you thrive in a dynamic environment where your skills can shape the future of data architecture? If so, we have the perfect opportunity for you! Our client, a leader in the Utilities sector, is seeking a Senior Data Engineer for a temporary role of 3 months. Role: Senior Data Engineer Duration: 3 Months (extension options) Location: Warwick (Hybrid - 1 day on site) Rate: 500- 550 per day (umbrella) Role Overview: As a Senior Data Engineer, you will play a pivotal role in enhancing the Interconnectors Data Platform (ICDP), a cloud-based data warehouse essential for commercial, financial modeling, and operational decision-making. With the platform evolving towards a modernized Medallion Architecture and Azure-native ingestion patterns, your expertise will drive architectural direction and technical leadership. Key Responsibilities: Data Architecture & Platform Engineering: Lead the design and implementation of scalable data architectures using Bronze/Silver/Gold layered models. Shape the platform's architectural roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated layers, and reusable data models. Embed CI/CD, testing, version control, and observability into workflows. Data Quality & Governance: Ensure robust data validation, reconciliation, profiling, and auditability across platform layers. Collaborate with business stakeholders to guarantee analytical and operational needs are met. Leadership: Mentor fellow data engineers, fostering technical growth within the ICDP team. Collaborate with Product teams, IT&D, and external partners to achieve high-quality outcomes. Serve as a technical authority on engineering approaches, patterns, and standards. Required Skills & Experience: Essential Technical Skills: Python: Strong hands-on experience in building production-grade data pipelines and orchestration. Advanced SQL: Expert-level skills in analytical SQL, query optimization, and data modeling. Azure Cloud: Familiarity with Azure Functions, Azure Data Factory, Azure Storage, and cloud security fundamentals. Data Warehousing: In-depth understanding of data architecture principles and scalable enterprise data design. Version Control: Proficient in Git, CI/CD, automated testing, and modern engineering practices. Pipeline Design: Experience with API ingestion, SFTP ingestion, and resilient pipeline design. Soft Skills: Exceptional problem-solving and architectural thinking abilities. Strong communication and stakeholder collaboration skills. Capability to lead and provide clarity in complex technical environments. Desirable Experience: Involvement in data-platform re-architecture programs. Exposure to Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Why Join Us? This is your chance to be part of a transformative journey in the Utilities industry! Not only will you be enhancing your skills, but you will also contribute to a vital platform that impacts decision-making at every level. If you're ready to take on this exciting challenge and make a significant impact, we want to hear from you! Apply now and become a key player in our client's innovative team! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Lead Data Engineer - Python/SQL/Spark/Databricks is required by highly successful and fast growing technology consultancy. As a Lead Data Engineer, you'll be part of a team building innovative products. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You're also an effective communicator and a strong team player. Together with your team, you'll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects Your role: As a Lead Data Engineer you will lead and manage a small team, working closely with the business to understand and define their data needs, ensuring that data capabilities support the business strategy. You will play a key part in the continuing development and support of their data platform. Preferred skills: Designing and building data-intensive applications and pipelines One or more programming languages, typically Python and SQL Some or all of the following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot and improve data products, ensuring reliability and quality You will have an academic record of achievement, minimum 2.1 from a top tier university. Excellent training and career development opportunities exist for the right candidate. Based Newcastle upon Tyne Basic salary (phone number removed) + bonus + excellent benefits
Jun 20, 2026
Full time
Lead Data Engineer - Python/SQL/Spark/Databricks is required by highly successful and fast growing technology consultancy. As a Lead Data Engineer, you'll be part of a team building innovative products. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You're also an effective communicator and a strong team player. Together with your team, you'll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects Your role: As a Lead Data Engineer you will lead and manage a small team, working closely with the business to understand and define their data needs, ensuring that data capabilities support the business strategy. You will play a key part in the continuing development and support of their data platform. Preferred skills: Designing and building data-intensive applications and pipelines One or more programming languages, typically Python and SQL Some or all of the following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot and improve data products, ensuring reliability and quality You will have an academic record of achievement, minimum 2.1 from a top tier university. Excellent training and career development opportunities exist for the right candidate. Based Newcastle upon Tyne Basic salary (phone number removed) + bonus + excellent benefits
About the Role We are seeking an experienced Technical Architect with strong expertise in automation and AI to provide technical leadership across complex projects. You will define and implement technical architectures, influence technology strategy, and ensure solutions align with business goals and enterprise standards. Key Responsibilities: Technical Leadership Lead and guide project and service teams on complex technical solutions. Define and document architectures, data flows, and integrations. Recommend technologies, conduct feasibility studies, and ensure alignment with enterprise standards. Solution Design & Innovation Design scalable, robust solutions that meet business needs. Maintain technical roadmaps and promote continuous improvement. Evaluate emerging technologies and develop proof of concepts. Project Delivery Support all phases of the project lifecycle. Collaborate with PMs, BAs, engineers, and stakeholders. Manage technical risks and communicate impacts effectively. Operational Excellence Improve operational efficiency and reduce technical debt. Identify opportunities for automation and process optimisation. Provide technical guidance to operations teams. M&A Support Conduct technical due diligence and integration planning. Assess and integrate acquired systems and processes. Here's What You'll Need Proven experience as a Technical Architect across diverse technology domains. Knowledge of ITIL, Prince2, TOGAF, Archimate. Strong analytical, communication, and problem solving skills. Experience in matrixed environments and fast paced project delivery. Good organisational and project management capabilities. Expertise in multiple enterprise technologies, including: Automation : Power Platform, UIPath, BluePrism, AutomationAnywhere AI : LLMs, coding copilots, MS Foundry/Copilot Studio Data : MS Fabric, Databricks ITSM : ServiceNow EUC : Intune, SCCM Applications : CRM, ERP, HCM, Finance Infrastructure : servers (cloud/on prem), networking, storage, backup Cloud : Azure Cyber Security : SIEM, XDR, IPS/IDS, NIST, ISO27001
Jun 20, 2026
Full time
About the Role We are seeking an experienced Technical Architect with strong expertise in automation and AI to provide technical leadership across complex projects. You will define and implement technical architectures, influence technology strategy, and ensure solutions align with business goals and enterprise standards. Key Responsibilities: Technical Leadership Lead and guide project and service teams on complex technical solutions. Define and document architectures, data flows, and integrations. Recommend technologies, conduct feasibility studies, and ensure alignment with enterprise standards. Solution Design & Innovation Design scalable, robust solutions that meet business needs. Maintain technical roadmaps and promote continuous improvement. Evaluate emerging technologies and develop proof of concepts. Project Delivery Support all phases of the project lifecycle. Collaborate with PMs, BAs, engineers, and stakeholders. Manage technical risks and communicate impacts effectively. Operational Excellence Improve operational efficiency and reduce technical debt. Identify opportunities for automation and process optimisation. Provide technical guidance to operations teams. M&A Support Conduct technical due diligence and integration planning. Assess and integrate acquired systems and processes. Here's What You'll Need Proven experience as a Technical Architect across diverse technology domains. Knowledge of ITIL, Prince2, TOGAF, Archimate. Strong analytical, communication, and problem solving skills. Experience in matrixed environments and fast paced project delivery. Good organisational and project management capabilities. Expertise in multiple enterprise technologies, including: Automation : Power Platform, UIPath, BluePrism, AutomationAnywhere AI : LLMs, coding copilots, MS Foundry/Copilot Studio Data : MS Fabric, Databricks ITSM : ServiceNow EUC : Intune, SCCM Applications : CRM, ERP, HCM, Finance Infrastructure : servers (cloud/on prem), networking, storage, backup Cloud : Azure Cyber Security : SIEM, XDR, IPS/IDS, NIST, ISO27001
Data Analytics Engineer Power BI SQL Hybrid Location: Hybrid / UK Salary: Competitive + Benefits A fantastic opportunity has opened for an experienced Data Analytics Engineer to join a growing data and analytics team within a large UK organisation. This role is ideal for a technically strong Data Analytics Engineer who enjoys both building impactful Power BI reporting solutions and developing the robust data infrastructure behind them. This is a hybrid role combining Power BI development, data engineering, SQL development, and stakeholder engagement, making it ideal for someone who enjoys delivering end-to-end analytics solutions. The Opportunity As a Data Analytics Engineer , you will play a key role in developing business-critical reporting and analytics capabilities across multiple operational teams. You'll design scalable reporting solutions, improve data quality, and help stakeholders make informed, data-driven decisions. Key Responsibilities Design, develop, and maintain Power BI reports, dashboards, and semantic models Build engaging, intuitive dashboards tailored to business requirements Develop DAX measures and optimise reporting performance Create and maintain SQL-based data pipelines and reporting datasets Transform and model complex data for scalable analytics solutions Ensure data accuracy, consistency, governance, and reporting reliability Maintain clear documentation around data lineage and reporting definitions Collaborate with stakeholders across Finance, HR, Operations, and wider business teams Support users with reporting insights and interpretation of data Skills & Experience Required Essential Skills Proven experience as a Data Analytics Engineer , BI Engineer, Data Engineer, or Power BI Developer Strong Power BI development experience Advanced SQL / SQL Server skills Strong understanding of data modelling and transformation Experience building reporting datasets and scalable analytics solutions Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL / data integration tool experience API integration experience Python scripting / automation knowledge Experience working with complex or regulated datasets Understanding of data governance frameworks What's On Offer? Hybrid working Competitive salary package Opportunity to work on modern data and reporting projects Exposure to enterprise-scale analytics environments Collaborative team culture Strong long-term career development opportunities Why Apply? This is an excellent opportunity for a Data Analytics Engineer who wants to take ownership of impactful analytics projects while working across both reporting and data engineering disciplines. If you're looking for your next Data Analytics Engineer opportunity, click apply now .
Jun 20, 2026
Full time
Data Analytics Engineer Power BI SQL Hybrid Location: Hybrid / UK Salary: Competitive + Benefits A fantastic opportunity has opened for an experienced Data Analytics Engineer to join a growing data and analytics team within a large UK organisation. This role is ideal for a technically strong Data Analytics Engineer who enjoys both building impactful Power BI reporting solutions and developing the robust data infrastructure behind them. This is a hybrid role combining Power BI development, data engineering, SQL development, and stakeholder engagement, making it ideal for someone who enjoys delivering end-to-end analytics solutions. The Opportunity As a Data Analytics Engineer , you will play a key role in developing business-critical reporting and analytics capabilities across multiple operational teams. You'll design scalable reporting solutions, improve data quality, and help stakeholders make informed, data-driven decisions. Key Responsibilities Design, develop, and maintain Power BI reports, dashboards, and semantic models Build engaging, intuitive dashboards tailored to business requirements Develop DAX measures and optimise reporting performance Create and maintain SQL-based data pipelines and reporting datasets Transform and model complex data for scalable analytics solutions Ensure data accuracy, consistency, governance, and reporting reliability Maintain clear documentation around data lineage and reporting definitions Collaborate with stakeholders across Finance, HR, Operations, and wider business teams Support users with reporting insights and interpretation of data Skills & Experience Required Essential Skills Proven experience as a Data Analytics Engineer , BI Engineer, Data Engineer, or Power BI Developer Strong Power BI development experience Advanced SQL / SQL Server skills Strong understanding of data modelling and transformation Experience building reporting datasets and scalable analytics solutions Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL / data integration tool experience API integration experience Python scripting / automation knowledge Experience working with complex or regulated datasets Understanding of data governance frameworks What's On Offer? Hybrid working Competitive salary package Opportunity to work on modern data and reporting projects Exposure to enterprise-scale analytics environments Collaborative team culture Strong long-term career development opportunities Why Apply? This is an excellent opportunity for a Data Analytics Engineer who wants to take ownership of impactful analytics projects while working across both reporting and data engineering disciplines. If you're looking for your next Data Analytics Engineer opportunity, click apply now .
