This is an exciting role for a senior AI/ML Research Engineer to join a world-leading Energy Trading & Commodities company as part of their highly innovative GenAI Team. You will be responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas. The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability and scalability standards. You will lead end-to-end AI/ML solution developmentfrom data exploration and experimentation through to deployment, monitoring and continuous optimisation. You will work closely with cross-functional teams including data engineering, infrastructure, DevOps, and product management to translate business needs into robust, reusable machine learning architectures. Required Qualifications & Experience: Bachelor's, Master's, or PhD in a relevant discipline (Engineering, Computer Science, Statistics, or related fields). 10+ years of experience in software development and machine learning engineering. Core Technical Skills: Strong expertise in designing large-scale machine learning systems and architectures. Advanced programming skills (Python preferred) with experience in frameworks and tools such as JavaScript, Kafka, and reactive systems. Extensive experience with cloud-based development, particularly on Azure, including AI/ML services and data platforms. Proven experience with Kubernetes for application deployment, scaling, and monitoring. Strong background in CI/CD pipeline design, automation, and maintenance. Hands-on experience with data engineering tools and storage solutions (eg, ADLS, Spark, Databricks, SQL/NoSQL databases). Experience with distributed computing and big data processing frameworks such as PySpark. Knowledge of infrastructure-as-code tools such as Terraform and Helm. Advanced/Specialist Expertise: Experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI. Development of enterprise-grade RAG (Retrieval-Augmented Generation) systems, including context engineering and multimodal data pipelines. Design and deployment of autonomous multi-agent systems using modern orchestration frameworks and evaluation approaches. Experience delivering Text-to-SQL solutions and natural language interfaces for structured data environments. Additional Skills: Strong understanding of data processing, cleansing, and handling large structured and unstructured datasets. Solid foundation in Linux, Scripting (Bash/PowerShell), and networking fundamentals. Excellent communication skills with the ability to translate complex technical concepts into business terms. Experience working in agile, cross-functional, and globally distributed teams. Continuous learning mindset with a focus on emerging technologies and innovation. Nice-to-Have: Experience with AWS or GCP ML platforms (eg, SageMaker, Vertex AI). Front End development (React) or Back End development (.NET/C#). Commercial awareness and understanding of business value delivery. With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent TrustPilot Reviews. Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment. Please telephone for an immediate response or email your CV for a quick response. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.
Jun 15, 2026
Contractor
This is an exciting role for a senior AI/ML Research Engineer to join a world-leading Energy Trading & Commodities company as part of their highly innovative GenAI Team. You will be responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas. The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability and scalability standards. You will lead end-to-end AI/ML solution developmentfrom data exploration and experimentation through to deployment, monitoring and continuous optimisation. You will work closely with cross-functional teams including data engineering, infrastructure, DevOps, and product management to translate business needs into robust, reusable machine learning architectures. Required Qualifications & Experience: Bachelor's, Master's, or PhD in a relevant discipline (Engineering, Computer Science, Statistics, or related fields). 10+ years of experience in software development and machine learning engineering. Core Technical Skills: Strong expertise in designing large-scale machine learning systems and architectures. Advanced programming skills (Python preferred) with experience in frameworks and tools such as JavaScript, Kafka, and reactive systems. Extensive experience with cloud-based development, particularly on Azure, including AI/ML services and data platforms. Proven experience with Kubernetes for application deployment, scaling, and monitoring. Strong background in CI/CD pipeline design, automation, and maintenance. Hands-on experience with data engineering tools and storage solutions (eg, ADLS, Spark, Databricks, SQL/NoSQL databases). Experience with distributed computing and big data processing frameworks such as PySpark. Knowledge of infrastructure-as-code tools such as Terraform and Helm. Advanced/Specialist Expertise: Experience building and deploying GenAI solutions using frameworks such as LangChain and Azure OpenAI. Development of enterprise-grade RAG (Retrieval-Augmented Generation) systems, including context engineering and multimodal data pipelines. Design and deployment of autonomous multi-agent systems using modern orchestration frameworks and evaluation approaches. Experience delivering Text-to-SQL solutions and natural language interfaces for structured data environments. Additional Skills: Strong understanding of data processing, cleansing, and handling large structured and unstructured datasets. Solid foundation in Linux, Scripting (Bash/PowerShell), and networking fundamentals. Excellent communication skills with the ability to translate complex technical concepts into business terms. Experience working in agile, cross-functional, and globally distributed teams. Continuous learning mindset with a focus on emerging technologies and innovation. Nice-to-Have: Experience with AWS or GCP ML platforms (eg, SageMaker, Vertex AI). Front End development (React) or Back End development (.NET/C#). Commercial awareness and understanding of business value delivery. With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent TrustPilot Reviews. Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment. Please telephone for an immediate response or email your CV for a quick response. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.
Data Engineer (SQL Databricks Python) Newcastle Onsite to £120k Do you have a first class education combined with Data Engineering skills? You could be progressing your career at a start-up Investment Management firm that have secure backing, an established Hedge Fund client as a partner and massive growth potential. As a Data Engineer you will work closely with front office teams to understand and define their data needs, ensuring that data capabilities align with business objectives. You'll contribute to the ongoing development and operation of the firm's data platform, leveraging both in-house and third-party data tools to deliver scalable and efficient solutions. A key focus will be on analysing and automating data-related processes, identifying opportunities to streamline workflows and reduce manual intervention. You will be responsible for building and maintaining data pipelines from a variety of external providers, ensuring the seamless integration of high-quality data into the firm's core platform. Additionally, you'll curate and manage both internal and external datasets to support the front office's analytical and operational requirements. This will include designing and implementing pragmatic, best-practice data models and architectures that are fit for purpose in a fast-paced environment. You'll also play a key role in establishing and enforcing data standards and quality controls, helping to ensure the integrity, consistency, and reliability of data across the organisation. Location / WFH: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!). About you: You have an academic record of achievement, minimum 2.1 at BSc from a top tier university, Computer Science or similar technical / scientific discipline, backed by minimum A A B grades at A-level You have commercial Data Engineering experience and a strong understanding of modern data engineering best practices You have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence You're collaborative with excellent communication skills What's in it for you: As a Data Engineer you will earn a competitive package: Salary to £120k Bonus 25 days holiday Bupa healthcare Generous pension contribution Continuous career development opportunities Social team atmosphere with a range of events and early finish for drinks on Fridays Apply now to find out more about this Data Engineer (SQL Databricks Python) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Jun 15, 2026
Full time
Data Engineer (SQL Databricks Python) Newcastle Onsite to £120k Do you have a first class education combined with Data Engineering skills? You could be progressing your career at a start-up Investment Management firm that have secure backing, an established Hedge Fund client as a partner and massive growth potential. As a Data Engineer you will work closely with front office teams to understand and define their data needs, ensuring that data capabilities align with business objectives. You'll contribute to the ongoing development and operation of the firm's data platform, leveraging both in-house and third-party data tools to deliver scalable and efficient solutions. A key focus will be on analysing and automating data-related processes, identifying opportunities to streamline workflows and reduce manual intervention. You will be responsible for building and maintaining data pipelines from a variety of external providers, ensuring the seamless integration of high-quality data into the firm's core platform. Additionally, you'll curate and manage both internal and external datasets to support the front office's analytical and operational requirements. This will include designing and implementing pragmatic, best-practice data models and architectures that are fit for purpose in a fast-paced environment. You'll also play a key role in establishing and enforcing data standards and quality controls, helping to ensure the integrity, consistency, and reliability of data across the organisation. Location / WFH: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in (onsite showers available!). About you: You have an academic record of achievement, minimum 2.1 at BSc from a top tier university, Computer Science or similar technical / scientific discipline, backed by minimum A A B grades at A-level You have commercial Data Engineering experience and a strong understanding of modern data engineering best practices You have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence You're collaborative with excellent communication skills What's in it for you: As a Data Engineer you will earn a competitive package: Salary to £120k Bonus 25 days holiday Bupa healthcare Generous pension contribution Continuous career development opportunities Social team atmosphere with a range of events and early finish for drinks on Fridays Apply now to find out more about this Data Engineer (SQL Databricks Python) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Python Developer / Backend Software Engineer (FastAPI SQL Databricks) London to £95k Are you a data centric Python Developer with strong SQL and FastAPI skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cyber Security insurance markets. What's in it for you: Salary to £95k + bonus 25 days holiday Private Medical Insurance (including dental and optical cashback) Life Insurance, Income Protection Pension Subsidised gym membership X4 paid volunteering days per year Season ticket loan Employee Assistance Programme Impactful role with great career progression Your role: As a Python Developer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes. You'll also collaborate with the Infrastructure Team to maintain Infrastructure as Code and develop new features on the engineering platform. Location / WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have strong Python backend software engineering skills You have experience of building FastAPIs You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server - Azure Databricks experience highly preferred) You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP You're collaborative and pragmatic with great communication skills Apply now to find out more about this Python Developer / Backend Software Engineer (Python FastAPI Databricks Azure) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Jun 15, 2026
Full time
Python Developer / Backend Software Engineer (FastAPI SQL Databricks) London to £95k Are you a data centric Python Developer with strong SQL and FastAPI skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cyber Security insurance markets. What's in it for you: Salary to £95k + bonus 25 days holiday Private Medical Insurance (including dental and optical cashback) Life Insurance, Income Protection Pension Subsidised gym membership X4 paid volunteering days per year Season ticket loan Employee Assistance Programme Impactful role with great career progression Your role: As a Python Developer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes. You'll also collaborate with the Infrastructure Team to maintain Infrastructure as Code and develop new features on the engineering platform. Location / WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have strong Python backend software engineering skills You have experience of building FastAPIs You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server - Azure Databricks experience highly preferred) You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP You're collaborative and pragmatic with great communication skills Apply now to find out more about this Python Developer / Backend Software Engineer (Python FastAPI Databricks Azure) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Backend Software Engineer / Developer (Python FastAPI SQL Databricks) London to £95k Are you a data centric Backend Software Engineer with strong Python, SQL and FastAPI skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cyber Security insurance markets. As a Backend Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes. You'll also collaborate with the Infrastructure Team to maintain Infrastructure as Code and develop new features on the engineering platform. Location / WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have strong Python backend software engineering skills You have experience of building FastAPIs You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server - Azure Databricks experience highly preferred) You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP You're collaborative and pragmatic with great communication skills What's in it for you: Salary to £95k + bonus 25 days holiday Private Medical Insurance (including dental and optical cashback) Life Insurance, Income Protection Pension Subsidised gym membership X4 paid volunteering days per year Season ticket loan Employee Assistance Programme Impactful role with great career progression Apply now to find out more about this Backend Software Engineer / Developer (Python FastAPI Databricks Azure) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Jun 15, 2026
Full time
Backend Software Engineer / Developer (Python FastAPI SQL Databricks) London to £95k Are you a data centric Backend Software Engineer with strong Python, SQL and FastAPI skills? You could be progressing your career in a senior, hands-on role at a fast growing, global Insurance Underwriting technology provider that focusses on developing a complex SaaS calculation platform for rapidly growing Cyber Security insurance markets. As a Backend Software Engineer you will design and develop data centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You'll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes. You'll also collaborate with the Infrastructure Team to maintain Infrastructure as Code and develop new features on the engineering platform. Location / WFH: There's a hybrid work from home model with three days a week in the high spec London, City office with rooftop bar. About you: You have strong Python backend software engineering skills You have experience of building FastAPIs You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server - Azure Databricks experience highly preferred) You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP You're collaborative and pragmatic with great communication skills What's in it for you: Salary to £95k + bonus 25 days holiday Private Medical Insurance (including dental and optical cashback) Life Insurance, Income Protection Pension Subsidised gym membership X4 paid volunteering days per year Season ticket loan Employee Assistance Programme Impactful role with great career progression Apply now to find out more about this Backend Software Engineer / Developer (Python FastAPI Databricks Azure) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
About Scrumconnect Consulting Scrumconnect Consulting is a people-focused digital consultancy delivering impactful solutions across the public and private sectors. We specialize in building high-performing, diverse, and inclusive teams that work on mission-critical digital transformation projects. As a Disability Confident employer and a company committed to continuous learning, we take pride in investing in our people and growing talent from the ground up. Role Summary We are seeking a senior data professional to lead analytics, business intelligence, and data delivery initiatives across the business. The role will be highly hands-on, requiring strong Power BI, SQL, and data engineering capability alongside stakeholder management and team leadership. The successful candidate will design and deliver dashboards, data models, reporting solutions, and scalable pipelines that support operational and strategic decision-making. Key Responsibilities Lead the design, build, and maintenance of Power BI dashboards and reporting solutions for business users and leadership teams. Develop and optimize SQL-based data models, ETL/ELT pipelines, and analytics solutions across cloud and on-prem environments. Work hands-on with Databricks, Azure Data Factory, Synapse, SSIS, Python/PySpark, and related tools to support data transformation and automation. Translate business requirements into clear reporting and data solutions, working closely with senior stakeholders and cross-functional teams. Manage data quality, validation, governance, and compliance reporting to ensure trusted outputs. Support migration and modernization initiatives, including movement to cloud-based lakehouse or warehouse environments. Mentor analysts or junior BI team members and contribute to better delivery practices, agile ways of working, and process improvement. Required Skills Strong experience in Power BI, DAX, and dashboard development. Advanced SQL and data modelling skills. Experience with Python and/or PySpark for analytics or data engineering. Hands-on knowledge of Databricks and cloud data platforms, ideally Azure-based. Experience with ETL tools such as Azure Data Factory, SSIS, Alteryx, or similar. Strong stakeholder management and communication skills, including presenting to senior leaders. Experience leading or mentoring teams in a BI, analytics, or data engineering function. Preferred Experience Background in data analytics, business intelligence, or data engineering in a senior role. Experience delivering reporting and data solutions in large, complex environments. Exposure to sectors such as retail, healthcare, manufacturing, or public sector would be beneficial. Experience supporting migration to Databricks or a modern data platform. Personal Attributes Hands-on and delivery-focused. Strong problem solver with attention to detail. Comfortable working across technical and business stakeholders. Able to manage priorities in a fast-paced environment. Collaborative, proactive, and improvement-minded. Diversity & Inclusion At Scrumconnect Consulting, we are proud to be a Disability Confident employer and strongly committed to building a workforce that reflects the diverse communities we serve. We welcome applications from people of all backgrounds, identities, and abilities. Our recruitment processes are inclusive, fair, and designed to ensure equal opportunities for everyone. If you require any adjustments during the application or interview process, please let us know-we are here to support you
Jun 15, 2026
Contractor
About Scrumconnect Consulting Scrumconnect Consulting is a people-focused digital consultancy delivering impactful solutions across the public and private sectors. We specialize in building high-performing, diverse, and inclusive teams that work on mission-critical digital transformation projects. As a Disability Confident employer and a company committed to continuous learning, we take pride in investing in our people and growing talent from the ground up. Role Summary We are seeking a senior data professional to lead analytics, business intelligence, and data delivery initiatives across the business. The role will be highly hands-on, requiring strong Power BI, SQL, and data engineering capability alongside stakeholder management and team leadership. The successful candidate will design and deliver dashboards, data models, reporting solutions, and scalable pipelines that support operational and strategic decision-making. Key Responsibilities Lead the design, build, and maintenance of Power BI dashboards and reporting solutions for business users and leadership teams. Develop and optimize SQL-based data models, ETL/ELT pipelines, and analytics solutions across cloud and on-prem environments. Work hands-on with Databricks, Azure Data Factory, Synapse, SSIS, Python/PySpark, and related tools to support data transformation and automation. Translate business requirements into clear reporting and data solutions, working closely with senior stakeholders and cross-functional teams. Manage data quality, validation, governance, and compliance reporting to ensure trusted outputs. Support migration and modernization initiatives, including movement to cloud-based lakehouse or warehouse environments. Mentor analysts or junior BI team members and contribute to better delivery practices, agile ways of working, and process improvement. Required Skills Strong experience in Power BI, DAX, and dashboard development. Advanced SQL and data modelling skills. Experience with Python and/or PySpark for analytics or data engineering. Hands-on knowledge of Databricks and cloud data platforms, ideally Azure-based. Experience with ETL tools such as Azure Data Factory, SSIS, Alteryx, or similar. Strong stakeholder management and communication skills, including presenting to senior leaders. Experience leading or mentoring teams in a BI, analytics, or data engineering function. Preferred Experience Background in data analytics, business intelligence, or data engineering in a senior role. Experience delivering reporting and data solutions in large, complex environments. Exposure to sectors such as retail, healthcare, manufacturing, or public sector would be beneficial. Experience supporting migration to Databricks or a modern data platform. Personal Attributes Hands-on and delivery-focused. Strong problem solver with attention to detail. Comfortable working across technical and business stakeholders. Able to manage priorities in a fast-paced environment. Collaborative, proactive, and improvement-minded. Diversity & Inclusion At Scrumconnect Consulting, we are proud to be a Disability Confident employer and strongly committed to building a workforce that reflects the diverse communities we serve. We welcome applications from people of all backgrounds, identities, and abilities. Our recruitment processes are inclusive, fair, and designed to ensure equal opportunities for everyone. If you require any adjustments during the application or interview process, please let us know-we are here to support you
We are looking for a Data Management Specialist with strong Insurance domain expertise to support data governance, data quality, and data life cycle management initiatives. The role will focus on ensuring trusted, compliant, and well-governed data across insurance platforms, supporting key initiatives such as finance transformation, data retention, archival, and regulatory compliance. The specialist will work closely with Data Architects, Engineering, and Business teams to ensure data is accurate, consistent, secure, and audit ready. Insurance domain mandatory (Policy/Claims/Finance data) Strong in data governance, quality, and reconciliation Experience in finance transformation/reporting programs Exposure to EDP/Databricks preferred Experience in retention, archival, and compliance (GDPR)
Jun 15, 2026
Contractor
We are looking for a Data Management Specialist with strong Insurance domain expertise to support data governance, data quality, and data life cycle management initiatives. The role will focus on ensuring trusted, compliant, and well-governed data across insurance platforms, supporting key initiatives such as finance transformation, data retention, archival, and regulatory compliance. The specialist will work closely with Data Architects, Engineering, and Business teams to ensure data is accurate, consistent, secure, and audit ready. Insurance domain mandatory (Policy/Claims/Finance data) Strong in data governance, quality, and reconciliation Experience in finance transformation/reporting programs Exposure to EDP/Databricks preferred Experience in retention, archival, and compliance (GDPR)
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 14, 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)
Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Our client is looking for a Cyber Analytics Data Engineer to join a specialist team delivering advanced analytics solutions within a cybersecurity environment. This role is ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security or Security Analytics experience CI/CD and automated deployment practices Strong stakeholder engagement and communication skills You will play a key role in supproting junior team members too, whilst collaborating with a range of cyber functions. If this sounds of interest, apply now! Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Jun 14, 2026
Contractor
Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Our client is looking for a Cyber Analytics Data Engineer to join a specialist team delivering advanced analytics solutions within a cybersecurity environment. This role is ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security or Security Analytics experience CI/CD and automated deployment practices Strong stakeholder engagement and communication skills You will play a key role in supproting junior team members too, whilst collaborating with a range of cyber functions. If this sounds of interest, apply now! Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
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 14, 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
Platform Engineer (AWS / Databricks) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong AWS, Databricks and Unity Catalog experience. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Supporting secure integration between AWS hosted data sources, Databricks workspaces and downstream enterprise data platforms. Design and support secure integration across AWS S3, Databricks and downstream data platforms. Strong hands-on experience with AWS IAM, S3, KMS and secure cloud access patterns. Hands-on Databricks on AWS experience, including Hive Metastore, Delta tables, SQL Warehouse and workspace access controls. Practical Unity Catalog experience, including grants, external locations, storage credentials and governed data access. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector-based patterns. Configure least-privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls. Support Databricks access patterns where S3-backed data is registered through Hive Metastore and exposed or migrated into Unity Catalog. Configure and validate Unity Catalog objects, including catalogs, schemas, tables, views, grants, storage credentials and external locations. Support downstream connectivity to Databricks using SQL Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.
Jun 14, 2026
Contractor
Platform Engineer (AWS / Databricks) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong AWS, Databricks and Unity Catalog experience. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Supporting secure integration between AWS hosted data sources, Databricks workspaces and downstream enterprise data platforms. Design and support secure integration across AWS S3, Databricks and downstream data platforms. Strong hands-on experience with AWS IAM, S3, KMS and secure cloud access patterns. Hands-on Databricks on AWS experience, including Hive Metastore, Delta tables, SQL Warehouse and workspace access controls. Practical Unity Catalog experience, including grants, external locations, storage credentials and governed data access. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed through approved connector-based patterns. Configure least-privilege access to S3 using IAM roles, bucket policies, KMS permissions and approved access controls. Support Databricks access patterns where S3-backed data is registered through Hive Metastore and exposed or migrated into Unity Catalog. Configure and validate Unity Catalog objects, including catalogs, schemas, tables, views, grants, storage credentials and external locations. Support downstream connectivity to Databricks using SQL Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.
Finance Data Design Lead - Insurance Transformation Contract Outside IR35 London (Hybrid) We are supporting a large-scale insurance transformation programme entering a critical delivery phase and are looking to engage an experienced Finance Data Design Lead. This role sits at the centre of delivery, bridging architecture and engineering, and will play a key part in shaping and implementing complex finance and actuarial data solutions. The Role You will be responsible for translating high-level architecture into detailed, implementable designs across finance, actuarial and regulatory reporting data domains. Key responsibilities include: Designing finance data models (including IFRS17, actuarial and sub-ledger structures) Defining data pipelines and processing logic within cloud data platforms Establishing reconciliation and control frameworks across reporting outputs Working closely with architecture, engineering and platform teams to ensure alignment Embedding data quality, governance and auditability across solutions Experience Required Strong experience in insurance data environments (essential) Proven track record delivering finance or actuarial data solutions Experience with IFRS17, regulatory or statutory reporting Hands-on exposure to Databricks, Spark and Python-based pipelines Ability to operate effectively within large-scale, complex programmes Engagement Details Contract: Outside IR35 Day Rate: 900 - 1,100 (flexible depending on experience) Duration: 6-12 months Location: London (3 days per week onsite) This opportunity would suit someone who is comfortable operating in a fast-paced delivery environment, taking ownership of detailed design and driving outcomes. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Jun 14, 2026
Contractor
Finance Data Design Lead - Insurance Transformation Contract Outside IR35 London (Hybrid) We are supporting a large-scale insurance transformation programme entering a critical delivery phase and are looking to engage an experienced Finance Data Design Lead. This role sits at the centre of delivery, bridging architecture and engineering, and will play a key part in shaping and implementing complex finance and actuarial data solutions. The Role You will be responsible for translating high-level architecture into detailed, implementable designs across finance, actuarial and regulatory reporting data domains. Key responsibilities include: Designing finance data models (including IFRS17, actuarial and sub-ledger structures) Defining data pipelines and processing logic within cloud data platforms Establishing reconciliation and control frameworks across reporting outputs Working closely with architecture, engineering and platform teams to ensure alignment Embedding data quality, governance and auditability across solutions Experience Required Strong experience in insurance data environments (essential) Proven track record delivering finance or actuarial data solutions Experience with IFRS17, regulatory or statutory reporting Hands-on exposure to Databricks, Spark and Python-based pipelines Ability to operate effectively within large-scale, complex programmes Engagement Details Contract: Outside IR35 Day Rate: 900 - 1,100 (flexible depending on experience) Duration: 6-12 months Location: London (3 days per week onsite) This opportunity would suit someone who is comfortable operating in a fast-paced delivery environment, taking ownership of detailed design and driving outcomes. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Platform Engineer (Palantir Foundry) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong Palantir Foundry and Databricks on AWS. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Configure + support secure integration between Palantir Foundry and Databricks on AWS. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed by Foundry using the Databricks connector or approved ingestion patterns. Hands-on Palantir Foundry experience, including connectors, Data Connection, datasets, syncs, projects and permissions. Experience configuring or supporting the Palantir Foundry Databricks connectors. Strong Databricks on AWS experience, including SQL Warehouse, clusters, tables, views and access controls. Good understanding of Hive Metastore and Unity Catalog, including catalogs, schemas, grants, storage credentials and external locations. Strong AWS IAM, S3, KMS, bucket policy and cross-account access experience. Set up and validate the Foundry Databricks connector for approved SQL Warehouses, tables, views and Unity Catalog-governed objects. Support end-to-end access from AWS S3 sources through Hive Metastore and Unity Catalog into Foundry datasets or products. Configure Foundry Data Connection, datasets, syncs, projects, permissions and lineage as required. Work with AWS teams to define IAM roles, S3 bucket policies, KMS permissions and approved cross account access patterns. Troubleshoot Foundry connector failures, Databricks authentication issues, Unity Catalog grants, schema mismatches and query failures. Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.
Jun 14, 2026
Contractor
Platform Engineer (Palantir Foundry) London (Hybrid) 6 Month Contract £600/day (Inside IR35) Platform Engineer needed with strong Palantir Foundry and Databricks on AWS. Start ASAP in May/June 2026. 6 Month Rolling Contract based in London (Hybrid), with occasional travel to the Leeds office. Hybrid Working - 3-4 days/week remote (WFH) + 1-2 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Configure + support secure integration between Palantir Foundry and Databricks on AWS. Scope includes data held in S3, registered through Databricks Hive Metastore, governed or exposed through Unity Catalog, and consumed by Foundry using the Databricks connector or approved ingestion patterns. Hands-on Palantir Foundry experience, including connectors, Data Connection, datasets, syncs, projects and permissions. Experience configuring or supporting the Palantir Foundry Databricks connectors. Strong Databricks on AWS experience, including SQL Warehouse, clusters, tables, views and access controls. Good understanding of Hive Metastore and Unity Catalog, including catalogs, schemas, grants, storage credentials and external locations. Strong AWS IAM, S3, KMS, bucket policy and cross-account access experience. Set up and validate the Foundry Databricks connector for approved SQL Warehouses, tables, views and Unity Catalog-governed objects. Support end-to-end access from AWS S3 sources through Hive Metastore and Unity Catalog into Foundry datasets or products. Configure Foundry Data Connection, datasets, syncs, projects, permissions and lineage as required. Work with AWS teams to define IAM roles, S3 bucket policies, KMS permissions and approved cross account access patterns. Troubleshoot Foundry connector failures, Databricks authentication issues, Unity Catalog grants, schema mismatches and query failures. Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions.
Finance Data Engineering Lead - Insurance Programme Contract Outside IR35 London (Hybrid) We are working with a leading insurance organisation seeking a Finance Data Engineering Lead to join a major programme at a critical stage of delivery. This is a hands-on role focused on building and delivering data solutions within an established cloud data environment. The Role You will play a key role in developing and deploying finance and actuarial data pipelines, supporting reporting, analytics and reconciliation capabilities. Key responsibilities include: Developing Python / PySpark data pipelines within cloud platforms Building datasets and models for finance, actuarial and risk reporting Integrating with existing data ingestion and orchestration frameworks Supporting reconciliation, validation and data quality processes Collaborating with design and architecture teams to deliver aligned solutions Experience Required Strong experience as a Data Engineer within insurance (essential) Proficiency in Python, PySpark and Spark-based processing Experience working with Databricks or similar cloud data platforms Exposure to finance, actuarial or regulatory reporting data Ability to operate within live programme environments and deliver at pace Engagement Details Contract: Outside IR35 Day Rate: 750 - 950 (flexible for strong profiles) Duration: 6-12 months Location: London (3 days per week onsite) This role is ideal for someone who enjoys hands-on delivery, working within established environments, and contributing to high-impact programmes. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Jun 14, 2026
Contractor
Finance Data Engineering Lead - Insurance Programme Contract Outside IR35 London (Hybrid) We are working with a leading insurance organisation seeking a Finance Data Engineering Lead to join a major programme at a critical stage of delivery. This is a hands-on role focused on building and delivering data solutions within an established cloud data environment. The Role You will play a key role in developing and deploying finance and actuarial data pipelines, supporting reporting, analytics and reconciliation capabilities. Key responsibilities include: Developing Python / PySpark data pipelines within cloud platforms Building datasets and models for finance, actuarial and risk reporting Integrating with existing data ingestion and orchestration frameworks Supporting reconciliation, validation and data quality processes Collaborating with design and architecture teams to deliver aligned solutions Experience Required Strong experience as a Data Engineer within insurance (essential) Proficiency in Python, PySpark and Spark-based processing Experience working with Databricks or similar cloud data platforms Exposure to finance, actuarial or regulatory reporting data Ability to operate within live programme environments and deliver at pace Engagement Details Contract: Outside IR35 Day Rate: 750 - 950 (flexible for strong profiles) Duration: 6-12 months Location: London (3 days per week onsite) This role is ideal for someone who enjoys hands-on delivery, working within established environments, and contributing to high-impact programmes. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Senior Data Engineer - up to 58,000 - Hybrid (Newport 1 day a week) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team has partnered with a specialised Civil Service Organisation who are presently undergoing an interesting transformation into the cloud space. We are supporting them to recruit a Senior Data Engineer. This role is ideal for any data engineer who has extensive experience with Azure Data Factory and Python. What the Senior Data Engineer will be doing You will be supporting the Data Engineering Lead and working closely with the Data Management and Business Intelligence teams in order to build solutions, pipelines and plans using the current frameworks and toolkits. Help develop world class data engineering capabilities Own data engineering artefacts for data pipelines you will build Prioritise data enhancements and plans alongside the IPO teams Ensure the ease of data movement internally and externally What the successful Senior Data Engineer will bring to the team You will have actively used Azure Data Factory (ADF) and DataBricks as well as being proficient in Python. Evidence of designing coding testing and correcting simple programs and scripts. Ability to design solutions that are scalable and future-proof data services. Experience cleansing data sets then formatting and preparing them Experience of Data Modelling and Data Governance Here's What You'll Get in Return Pension scheme up to 27.9% Salary of up to 58,000 Full Flexi-Time - Work your 37.5 hours on any schedule between 5am and 10pm Accrued Time - If you work 37.5 hours in 4 days, you can have the fifth day off Unlimited Pluralsight learning videos 25 Days annual leave PLUS Bank Holidays (Increasing to 30 days) Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
Jun 13, 2026
Full time
Senior Data Engineer - up to 58,000 - Hybrid (Newport 1 day a week) The Opportunity Yolk Recruitment Public Sector & Not-for-Profit team has partnered with a specialised Civil Service Organisation who are presently undergoing an interesting transformation into the cloud space. We are supporting them to recruit a Senior Data Engineer. This role is ideal for any data engineer who has extensive experience with Azure Data Factory and Python. What the Senior Data Engineer will be doing You will be supporting the Data Engineering Lead and working closely with the Data Management and Business Intelligence teams in order to build solutions, pipelines and plans using the current frameworks and toolkits. Help develop world class data engineering capabilities Own data engineering artefacts for data pipelines you will build Prioritise data enhancements and plans alongside the IPO teams Ensure the ease of data movement internally and externally What the successful Senior Data Engineer will bring to the team You will have actively used Azure Data Factory (ADF) and DataBricks as well as being proficient in Python. Evidence of designing coding testing and correcting simple programs and scripts. Ability to design solutions that are scalable and future-proof data services. Experience cleansing data sets then formatting and preparing them Experience of Data Modelling and Data Governance Here's What You'll Get in Return Pension scheme up to 27.9% Salary of up to 58,000 Full Flexi-Time - Work your 37.5 hours on any schedule between 5am and 10pm Accrued Time - If you work 37.5 hours in 4 days, you can have the fifth day off Unlimited Pluralsight learning videos 25 Days annual leave PLUS Bank Holidays (Increasing to 30 days) Think this one's for you If you think this Senior Data Engineer opportunity is for you then please apply online. Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs. Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.
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 13, 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.
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 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 13, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 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)
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 13, 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)
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority 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 13, 2026
Full time
AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority 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: 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 13, 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)
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 13, 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)
