Role: BI Manager Rate: 500.00 Per Day - Inside IR35 Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) Duration: Initial 3 - 6 Months with potential to go Permanent We are currently working with a leading services provider who require a technically strong, Midlands based Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
Dec 10, 2025
Contractor
Role: BI Manager Rate: 500.00 Per Day - Inside IR35 Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) Duration: Initial 3 - 6 Months with potential to go Permanent We are currently working with a leading services provider who require a technically strong, Midlands based Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
Senior Data Engineer London 2-3 days on-site £65,000 - £72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modelling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Dec 10, 2025
Full time
Senior Data Engineer London 2-3 days on-site £65,000 - £72,000 + 20% Bonus + Excellent Benefits Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Databricks Strong working knowledge Azure Strong knowledge of data modelling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.
Locations : Stockholm Copenhagen V Berlin München London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a (Senior) AI Software Engineer you'll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following: +4 years of experience in a technology consulting environment Apply software development practices and standards to develop robust and maintainable software Actively involved in every part of the software development life cycle Experienced at guiding non-technical teams and consultants in and best practices for robust software development Optimize and enhance computational efficiency of algorithms and software design Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases Enjoy collaborating in teams to share software design and solution ideas A natural problem-solver and intellectually curious across a breadth of industries and topics Master's degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI) transformational journeys BCG does for its clients. Often involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional programming languages is a plus Additional info BCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, mental health offerings, a generous retirement program, financial guidance, paid time off, and more. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Dec 09, 2025
Full time
Locations : Stockholm Copenhagen V Berlin München London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a (Senior) AI Software Engineer you'll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following: +4 years of experience in a technology consulting environment Apply software development practices and standards to develop robust and maintainable software Actively involved in every part of the software development life cycle Experienced at guiding non-technical teams and consultants in and best practices for robust software development Optimize and enhance computational efficiency of algorithms and software design Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases Enjoy collaborating in teams to share software design and solution ideas A natural problem-solver and intellectually curious across a breadth of industries and topics Master's degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI) transformational journeys BCG does for its clients. Often involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional programming languages is a plus Additional info BCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, mental health offerings, a generous retirement program, financial guidance, paid time off, and more. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.
Senior Data Engineer Salary: Up to 70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to 70,000 Hybrid working model twice per week in Portsmouth Pension scheme and private healthcare options Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.
Dec 09, 2025
Full time
Senior Data Engineer Salary: Up to 70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to 70,000 Hybrid working model twice per week in Portsmouth Pension scheme and private healthcare options Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.
Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance, Sales, Logistics and Customer Care. If you want to build a best-in-class Lakehouse from scratch-this is the one. ? What You'll Be Doing Lakehouse Engineering (Azure + Databricks) Engineer scalable ELT pipelines using Lakeflow Declarative Pipelines , PySpark , and Spark SQL across a full Medallion Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts to power high-performance Power BI datasets . Apply governance, lineage and fine-grained permissions via Unity Catalog . Orchestration & Observability Design and optimise orchestration using Lakeflow Workflows and Azure Data Factory . Implement monitoring, alerting, SLAs/SLIs, runbooks and cost-optimisation across the platform. DevOps & Platform Engineering Build CI/CD pipelines in Azure DevOps for notebooks, Lakeflow pipelines, SQL models and ADF artefacts. Ensure secure, enterprise-grade platform operation across Dev ? Prod , using private endpoints, managed identities and Key Vault. Contribute to platform standards, design patterns, code reviews and future roadmap. Collaboration & Delivery Work closely with BI/Analytics teams to deliver curated datasets powering dashboards across the organisation. Influence architecture decisions and uplift engineering maturity within a growing data function. ? Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ years delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing Zone patterns . Comfort with Git, CI/CD, automated deployments and modern engineering standards. Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model / Direct Lake optimisation
Dec 07, 2025
Full time
Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance, Sales, Logistics and Customer Care. If you want to build a best-in-class Lakehouse from scratch-this is the one. ? What You'll Be Doing Lakehouse Engineering (Azure + Databricks) Engineer scalable ELT pipelines using Lakeflow Declarative Pipelines , PySpark , and Spark SQL across a full Medallion Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts to power high-performance Power BI datasets . Apply governance, lineage and fine-grained permissions via Unity Catalog . Orchestration & Observability Design and optimise orchestration using Lakeflow Workflows and Azure Data Factory . Implement monitoring, alerting, SLAs/SLIs, runbooks and cost-optimisation across the platform. DevOps & Platform Engineering Build CI/CD pipelines in Azure DevOps for notebooks, Lakeflow pipelines, SQL models and ADF artefacts. Ensure secure, enterprise-grade platform operation across Dev ? Prod , using private endpoints, managed identities and Key Vault. Contribute to platform standards, design patterns, code reviews and future roadmap. Collaboration & Delivery Work closely with BI/Analytics teams to deliver curated datasets powering dashboards across the organisation. Influence architecture decisions and uplift engineering maturity within a growing data function. ? Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ years delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing Zone patterns . Comfort with Git, CI/CD, automated deployments and modern engineering standards. Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model / Direct Lake optimisation
Role: BI Manager Salary: 70,000 - 80,000 PA Plus Bonus and Benefits Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) We are currently working with a leading Midlands based services provider who require a technically strong Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Our client offers a good, supportive environment which is going through a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background Benefits: Achievable bonus scheme 4% Pension Life Insurance 3 x salary 25 days annual leave plus statutory - 1 x extra day every year for the first 3 years Blue Light Card Medicash - includes discounted gym memberships etc. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
Dec 05, 2025
Full time
Role: BI Manager Salary: 70,000 - 80,000 PA Plus Bonus and Benefits Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) We are currently working with a leading Midlands based services provider who require a technically strong Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Our client offers a good, supportive environment which is going through a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background Benefits: Achievable bonus scheme 4% Pension Life Insurance 3 x salary 25 days annual leave plus statutory - 1 x extra day every year for the first 3 years Blue Light Card Medicash - includes discounted gym memberships etc. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
Databricks Engineer Location: Oxfordshire (Hybrid) Salary: Competitive + Benefits Are you an experienced Databricks Engineer looking for your next challenge? The Role This is a hands-on technical role with leadership responsibilities. You'll design and deliver scalable data solutions, work closely with data leaders on architecture and strategy, and mentor a small team of Data Engineers to ensure best practices. Key Responsibilities Build and maintain scalable data pipelines and ETL processes using Databricks Collaborate on data architecture and translate designs into build plans Deliver large-scale data workflows and optimise for performance Implement data quality and validation processes What We're Looking For Strong experience with Databricks Proficiency in Python, Spark, and SQL Experience with cloud platforms Knowledge of pipeline tools Excellent problem-solving and leadership skills If you're passionate about data engineering and want to make an impact, apply today!
Dec 05, 2025
Full time
Databricks Engineer Location: Oxfordshire (Hybrid) Salary: Competitive + Benefits Are you an experienced Databricks Engineer looking for your next challenge? The Role This is a hands-on technical role with leadership responsibilities. You'll design and deliver scalable data solutions, work closely with data leaders on architecture and strategy, and mentor a small team of Data Engineers to ensure best practices. Key Responsibilities Build and maintain scalable data pipelines and ETL processes using Databricks Collaborate on data architecture and translate designs into build plans Deliver large-scale data workflows and optimise for performance Implement data quality and validation processes What We're Looking For Strong experience with Databricks Proficiency in Python, Spark, and SQL Experience with cloud platforms Knowledge of pipeline tools Excellent problem-solving and leadership skills If you're passionate about data engineering and want to make an impact, apply today!
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions such as finance, operations, planning, manufacturing, retail, e-commerce etc. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly and been transformed in recent years, they're an iconic business with a special work environment that's manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station. The key responsibilities for the post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics. Interact with API systems to query and retrieve data for analysis. Collaborate with business users / stakeholders to gather and agree requirements. To be considered for the post you'll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You'll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You'll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It's likely you'll have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills and attention to detail. Understanding of data governance and data quality principles. A degree in computer science, engineering, or equivalent experience. Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. Young's Employment Services acts in the capacity of both an Employment Agent and Employment Business.
Dec 05, 2025
Full time
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions such as finance, operations, planning, manufacturing, retail, e-commerce etc. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly and been transformed in recent years, they're an iconic business with a special work environment that's manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station. The key responsibilities for the post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics. Interact with API systems to query and retrieve data for analysis. Collaborate with business users / stakeholders to gather and agree requirements. To be considered for the post you'll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You'll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You'll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It's likely you'll have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills and attention to detail. Understanding of data governance and data quality principles. A degree in computer science, engineering, or equivalent experience. Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. Young's Employment Services acts in the capacity of both an Employment Agent and Employment Business.
Senior Data Engineering Consultant - 60,000 - Hybrid Key Responsibilities Lead, mentor, and develop a team of Technical Consultants. Manage resource planning, scheduling, and overall delivery workflows. Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects. Contribute to technical delivery, designing scalable data solutions in Azure/Microsoft environments. Support cloud migrations, data lake builds, and ETL/ELT pipeline development. Ensure delivery follows best practices and internal standards. Skills & Experience Strong leadership and relationship-building skills. Experience guiding or managing technical teams. Deep hands-on experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture, and large-scale dataset management. Solid understanding of BI, data warehousing, and database optimisation. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Dec 05, 2025
Full time
Senior Data Engineering Consultant - 60,000 - Hybrid Key Responsibilities Lead, mentor, and develop a team of Technical Consultants. Manage resource planning, scheduling, and overall delivery workflows. Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects. Contribute to technical delivery, designing scalable data solutions in Azure/Microsoft environments. Support cloud migrations, data lake builds, and ETL/ELT pipeline development. Ensure delivery follows best practices and internal standards. Skills & Experience Strong leadership and relationship-building skills. Experience guiding or managing technical teams. Deep hands-on experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture, and large-scale dataset management. Solid understanding of BI, data warehousing, and database optimisation. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Senior Data Engineer Salary: Up to 70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to 70,000 Hybrid working model twice per week in Portsmouth Pension scheme and private healthcare options Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.
Dec 05, 2025
Full time
Senior Data Engineer Salary: Up to 70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to 70,000 Hybrid working model twice per week in Portsmouth Pension scheme and private healthcare options Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.
Base Location: Reading / Havant / Perth Salary: 600 per day Working Pattern: 40 hours per week / Full time Embark on a transformative career journey with SSE energy company, where innovation meets impact in the heart of the IT sector. As a pivotal player in our forward-thinking team, you'll harness cutting-edge technology to drive change and propel the UK towards its ambitious net-zero targets. Your expertise will not only shape the future of energy but also carve a sustainable world for generations to come. Join us and be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: Provide technical leadership and oversight to the group Data & Analytics platform team. Responsible for ensuring the reliability, security and scalability of analytics platform services. Deliver full automation of the deployment of Data & Analytics platform services via Infrastructure as code. Help to set development standards, configure operational support processes and provide technical assurance. Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology. Extensive experience in using Terraform to deploy cloud resources as infrastructure as code. Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions). Strong knowledge of scripting languages such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL. Strong understanding of cloud access control and governance such as RBAC and IAM. Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Good knowledge in Microsoft Entra ID such as managing App registrations, Enterprise Apps, AD groups, managed identities and Privileged Identity Management. Proven experience in IaaS such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for the Data and Analytics Senior Development Operations Engineer role, we understand you're eager to hear back. We value your time and interest, and if your application is successful, you will be contacted directly by the team within 2 working days. We appreciate your patience and look forward to the possibility of welcoming you aboard.
Oct 08, 2025
Contractor
Base Location: Reading / Havant / Perth Salary: 600 per day Working Pattern: 40 hours per week / Full time Embark on a transformative career journey with SSE energy company, where innovation meets impact in the heart of the IT sector. As a pivotal player in our forward-thinking team, you'll harness cutting-edge technology to drive change and propel the UK towards its ambitious net-zero targets. Your expertise will not only shape the future of energy but also carve a sustainable world for generations to come. Join us and be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: Provide technical leadership and oversight to the group Data & Analytics platform team. Responsible for ensuring the reliability, security and scalability of analytics platform services. Deliver full automation of the deployment of Data & Analytics platform services via Infrastructure as code. Help to set development standards, configure operational support processes and provide technical assurance. Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile and DevOps development methodology. Extensive experience in using Terraform to deploy cloud resources as infrastructure as code. Excellent understanding of CI/CD principles and experience with related tools (e.g. Azure DevOps, GitHub Actions). Strong knowledge of scripting languages such as PowerShell, Python and Azure CLI and proven experience with automation runbooks, VM maintenance scripts and SQL. Strong understanding of cloud access control and governance such as RBAC and IAM. Strong knowledge on Cloud Networking (Azure) such as private endpoints, Firewalls, NSGs, NAT gateways and route tables. Good knowledge in Microsoft Entra ID such as managing App registrations, Enterprise Apps, AD groups, managed identities and Privileged Identity Management. Proven experience in IaaS such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After submitting your application for the Data and Analytics Senior Development Operations Engineer role, we understand you're eager to hear back. We value your time and interest, and if your application is successful, you will be contacted directly by the team within 2 working days. We appreciate your patience and look forward to the possibility of welcoming you aboard.
Senior Data Engineer, Insurance London/Hybrid To £85K + Bonus and Benefits SQL, ETL, Azure Senior Data Engineer is required to join a forward-thinking data team within a thriving City based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you'll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is maintained. Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools. Consult with business analysts, system owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. A sharp analytical mind with the ability to work quickly, efficiently and methodically. Strong communication skills with excellent stakeholder management and influencing skills. Solid understanding of Insurance Operations, Credit Control, and Finance functions. A team player who thrives in an agile, fast-moving, and highly collaborative environment. For a full consultation on this pivotal role, send your CV to ARC IT Recruitment today.
Oct 08, 2025
Full time
Senior Data Engineer, Insurance London/Hybrid To £85K + Bonus and Benefits SQL, ETL, Azure Senior Data Engineer is required to join a forward-thinking data team within a thriving City based insurance group. This role will see you playing a critical role in delivering reliable, scalable and business-focused data solutions. With a strong focus on Microsoft technologies and cloud-based tools, you'll work directly with key business stakeholders, MI teams and technical teams to drive performance and decision-making through data. The ideal candidate here will have a strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. Key Responsibilities Deliver data solutions and changes that support evolving business requirements. Build and maintain robust, scalable data pipelines using SQL and ETL best practices. Collaborate with stakeholders to analyse, define and implement solutions to complex data challenges. Proactively assess the impact of changes on the broader data model and ensure integrity is maintained. Work alongside the MI/reporting team to ensure data is accurately reflected in dashboards and reporting tools. Consult with business analysts, system owners and architects to align technical delivery with strategic objectives. Build deep knowledge of internal systems and promote collaboration across teams. Key Skills & Experience: Significant experience with SQL and ETL development. Strong experience with MS SQL Server, T-SQL, Azure Data Factory, Azure Databricks, Python, Data Lake. Strong background in insurance MI or reporting-experience within an MGA or insurance carrier is essential. A sharp analytical mind with the ability to work quickly, efficiently and methodically. Strong communication skills with excellent stakeholder management and influencing skills. Solid understanding of Insurance Operations, Credit Control, and Finance functions. A team player who thrives in an agile, fast-moving, and highly collaborative environment. For a full consultation on this pivotal role, send your CV to ARC IT Recruitment today.
Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Oct 06, 2025
Full time
Senior AWS Data Engineer - London - 125,000 Please note - this role will require you to work from the London based office. You must have the unrestricted right to work in the UK to be eligible for this role. This organisation is not able to offer sponsorship. An exciting opportunity to join a greenfield initiative focused on transforming how market data is accessed and utilised. As a Senior AWS Data Engineer, you'll play a key role in designing and building a cutting-edge data platform using technologies like Databricks, Snowflake, and AWS Glue. Key Responsibilities: Build and maintain scalable data pipelines, warehouses, and lakes. Design secure, high-performance data architectures. Develop processing and analysis algorithms for complex data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. Desirable Experience: Experience with Databricks and Snowflake. Familiarity with machine learning and data science concepts. Strategic thinking and ability to influence cross-functional teams. This role offers the chance to work across multiple business areas, solve complex data challenges, and contribute to long-term strategic goals. You'll be empowered to lead, collaborate, and innovate in a dynamic environment. To apply for this role please submit your CV or contact David Airey on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call
Oct 06, 2025
Full time
AWS Data Engineer - VP Level Location: London (Canary Wharf) Salary: (phone number removed) - (phone number removed) A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units. Key Responsibilities: Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies. Implement robust data governance, quality, and security practices. Collaborate with data scientists to deploy machine learning models. Lead or contribute to strategic planning, risk management, and stakeholder engagement. Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in data processing and analysis using Python and SQL. Experience with data governance, data quality, and data security best practices. Strong knowledge of market data and its applications. Some other highly valued skills may include: Experience with other data engineering tools and technologies. Knowledge of machine learning and data science concepts. Familiarity with Barclays' data strategy and practices. Please send me your CV is you meet these requirements and we can then arrange call
Your new company A Principal Data Engineer/Architect is required on a permanent basis for a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud-based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world. Your new role As a Principal Data Engineer, you will be instrumental in shaping the organisations strategic cloud data platform. You'll lead the design and implementation of scalable data pipelines, drive innovation in data-centric products, and champion automation and predictive analytics. This is a senior technical leadership role where you'll establish best practices, ensure compliance, and deliver smart, customer-focused solutions. What you'll need to succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across teams and drive strategic decisions. Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (eg, Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that make a real impact. The organisation offers a competitive salary up to £81K, excellent benefits including 8% cash payment on top of the salary, bonus scheme, and opportunities for professional development. You'll also enjoy flexible working arrangements, generous annual leave, public sector pension and a supportive environment that values innovation and collaboration. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Oct 06, 2025
Full time
Your new company A Principal Data Engineer/Architect is required on a permanent basis for a forward-thinking organisation at the heart of Leeds. The Data Services team are on a mission to unlock the value of data by delivering high-quality, secure, and accessible data services. With a focus on modern cloud-based technologies and strong partnerships, they help colleagues navigate the complexities of a data-driven world. Your new role As a Principal Data Engineer, you will be instrumental in shaping the organisations strategic cloud data platform. You'll lead the design and implementation of scalable data pipelines, drive innovation in data-centric products, and champion automation and predictive analytics. This is a senior technical leadership role where you'll establish best practices, ensure compliance, and deliver smart, customer-focused solutions. What you'll need to succeed You'll bring extensive experience in data engineering within Azure environments, with a strong track record in modernisation and large-scale migration projects. You'll be confident designing metadata-driven frameworks and managing Databricks environments, with hands-on expertise in Python, T-SQL, and PySpark. Your leadership and mentoring skills will be key, alongside your ability to collaborate across teams and drive strategic decisions. Essential Skills Include: Proven leadership and mentoring experience in senior data engineering roles Expertise in Azure Data Factory, Azure Databricks, and lakehouse architecture Strong programming skills (Python, T-SQL, PySpark) and test-driven development Deep understanding of data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (eg, Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that make a real impact. The organisation offers a competitive salary up to £81K, excellent benefits including 8% cash payment on top of the salary, bonus scheme, and opportunities for professional development. You'll also enjoy flexible working arrangements, generous annual leave, public sector pension and a supportive environment that values innovation and collaboration. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.
Oct 06, 2025
Full time
Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.
Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) 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.
Oct 02, 2025
Full time
Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) 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.
Data Software Engineer / Developer (Python Databricks FastAPI) London to £90k Are you a data centric Software Engineer with strong Python and SQL 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 Cybersecurity insurance markets. As a Data 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 software engineering skills You have a good understanding of working with data at scale and strong SQL skills (PostgreSQL, SQL Server and Databricks) You have experience of building FastAPIs 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: As a Data Software Engineer you will receive a competitive package: Salary to £90k + 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 Data Software Engineer / Developer (Python Databricks FastAPI) 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.
Oct 02, 2025
Full time
Data Software Engineer / Developer (Python Databricks FastAPI) London to £90k Are you a data centric Software Engineer with strong Python and SQL 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 Cybersecurity insurance markets. As a Data 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 software engineering skills You have a good understanding of working with data at scale and strong SQL skills (PostgreSQL, SQL Server and Databricks) You have experience of building FastAPIs 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: As a Data Software Engineer you will receive a competitive package: Salary to £90k + 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 Data Software Engineer / Developer (Python Databricks FastAPI) 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.
Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London
Oct 01, 2025
Full time
Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London
Tableau Developer required by a large, established UK organisation to join its Data & Insight team on a six-month fixed-term contract. This role will be instrumental in supporting a major data platform upgrade and helping to modernise analytics and AI capabilities. You'll take the lead on rebuilding and improving business-critical dashboards, enabling commercial teams to make confident, data-driven decisions. Our client offers a hybrid working environment with 2-3 days a week onsite with flexibility. You'll report into a senior manager within the analytics team and work at pace to deliver high-quality, user-friendly dashboards. You'll also have the opportunity to support smaller projects across the wider business. Key Responsibilities Recreate and enhance business-critical dashboards in Tableau (or similar BI tools), ensuring accuracy and usability. Partner with stakeholders to understand requirements and translate them into clear, actionable dashboards. Collaborate with data engineers to ensure data pipelines and models meet reporting needs. Work within a multi-disciplinary project team to help deliver the wider transformation programme. Support the management and optimisation of the organisation's BI platform. Provide ad-hoc support on other analytics initiatives within the team. What We're Looking For Proven BI expertise with a track record of designing high-quality, insightful dashboards (Tableau experience preferred). Strong SQL skills for querying, validating and shaping data. Experience working end-to-end on analytics projects: from requirements gathering through to design, build, testing and support. Excellent communication skills, able to work effectively with both technical and non-technical colleagues. Highly organised, able to prioritise tasks and meet tight deadlines. Comfortable working autonomously while contributing as part of a multi-disciplinary team. Desirable: Awareness of UX principles and best practices in dashboard design. Experience with cloud data platforms (e.g. Databricks, Snowflake). A degree in a numerate discipline. What's on Offer A 10% annual bonus 25 days' paid holiday plus the option to buy additional days, with extra days awarded for long service. A generous pension plan with enhanced employer contributions. Health and wellbeing benefits including a healthcare cash plan, employee assistance programme, wellbeing platform and a gym benefit. Enhanced family leave provisions. Additional perks including an employee share save scheme, life assurance, discounts portal and more.
Oct 01, 2025
Full time
Tableau Developer required by a large, established UK organisation to join its Data & Insight team on a six-month fixed-term contract. This role will be instrumental in supporting a major data platform upgrade and helping to modernise analytics and AI capabilities. You'll take the lead on rebuilding and improving business-critical dashboards, enabling commercial teams to make confident, data-driven decisions. Our client offers a hybrid working environment with 2-3 days a week onsite with flexibility. You'll report into a senior manager within the analytics team and work at pace to deliver high-quality, user-friendly dashboards. You'll also have the opportunity to support smaller projects across the wider business. Key Responsibilities Recreate and enhance business-critical dashboards in Tableau (or similar BI tools), ensuring accuracy and usability. Partner with stakeholders to understand requirements and translate them into clear, actionable dashboards. Collaborate with data engineers to ensure data pipelines and models meet reporting needs. Work within a multi-disciplinary project team to help deliver the wider transformation programme. Support the management and optimisation of the organisation's BI platform. Provide ad-hoc support on other analytics initiatives within the team. What We're Looking For Proven BI expertise with a track record of designing high-quality, insightful dashboards (Tableau experience preferred). Strong SQL skills for querying, validating and shaping data. Experience working end-to-end on analytics projects: from requirements gathering through to design, build, testing and support. Excellent communication skills, able to work effectively with both technical and non-technical colleagues. Highly organised, able to prioritise tasks and meet tight deadlines. Comfortable working autonomously while contributing as part of a multi-disciplinary team. Desirable: Awareness of UX principles and best practices in dashboard design. Experience with cloud data platforms (e.g. Databricks, Snowflake). A degree in a numerate discipline. What's on Offer A 10% annual bonus 25 days' paid holiday plus the option to buy additional days, with extra days awarded for long service. A generous pension plan with enhanced employer contributions. Health and wellbeing benefits including a healthcare cash plan, employee assistance programme, wellbeing platform and a gym benefit. Enhanced family leave provisions. Additional perks including an employee share save scheme, life assurance, discounts portal and more.
