326 to 350 of 429 ETL Jobs in the South East

validation checks on our release data sets · Automation: Automate all routine data checks, data loading processes, and reporting workflows · Data Insights & Tooling: Build internal tools and analytical solutions to extract and surface valuable insights from our proprietary data · Reporting & Analysis: Provide direct data analysis to support the insight team, as well as handling customer queries and producing scheduled data extracts … Apply basic DevOps concepts to maintain services and work across our server and cloud platforms, including contributing to networking solutions Skill Set: Essential: · Programming & Pipelines: Proven experience building robust ETL/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery More ❯

validation checks on our release data sets · Automation: Automate all routine data checks, data loading processes, and reporting workflows · Data Insights & Tooling: Build internal tools and analytical solutions to extract and surface valuable insights from our proprietary data · Reporting & Analysis: Provide direct data analysis to support the insight team, as well as handling customer queries and producing scheduled data extracts … Apply basic DevOps concepts to maintain services and work across our server and cloud platforms, including contributing to networking solutions Skill Set: Essential: · Programming & Pipelines: Proven experience building robust ETL/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery More ❯

a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting … GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data More ❯

a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting … GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data More ❯

a data engineering strategy that aligns with organisational goals and technological advancements. Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting … GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data More ❯

and analysts , collaborating with senior stakeholders to drive a data-driven culture . Key Responsibilities: Design and implement a modern cloud data platform (Azure) to support scalable analytics. Build ETL/ELT pipelines to process structured and unstructured data, enabling real-time insights. Develop and maintain Power BI dashboards, forecasting models, and business intelligence tools . Establish data governance frameworks … Advanced proficiency in Power BI , including DAX, Power Query, and data modeling. Strong programming skills in Python, SQL, and/or Scala for data processing and automation. Experience with ETL/ELT, data warehousing, and event-driven architectures . Knowledge of AI/ML applications in data analytics and business intelligence. Proven leadership experience, with the ability to manage and More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on More ❯

validation to maintain operational stability. Mandatory Skills Programme-level test management within finance, actuarial, or regulatory transformation initiatives. Insurance data, claims processing, actuarial reserving, and financial reporting. Data platforms, ETL pipelines, and enterprise reporting tools. Stakeholder management and communication across business and technical domains. Governance frameworks, change management, and release planning in regulated environments. Desirable Skills UK-based finance and More ❯

validation to maintain operational stability. Mandatory Skills Programme-level test management within finance, actuarial, or regulatory transformation initiatives. Insurance data, claims processing, actuarial reserving, and financial reporting. Data platforms, ETL pipelines, and enterprise reporting tools. Stakeholder management and communication across business and technical domains. Governance frameworks, change management, and release planning in regulated environments. Desirable Skills UK-based finance and More ❯

validation to maintain operational stability. Mandatory Skills Programme-level test management within finance, actuarial, or regulatory transformation initiatives. Insurance data, claims processing, actuarial reserving, and financial reporting. Data platforms, ETL pipelines, and enterprise reporting tools. Stakeholder management and communication across business and technical domains. Governance frameworks, change management, and release planning in regulated environments. Desirable Skills UK-based finance and More ❯

Fabric, helping to design and deliver the next generation of their data environment using Azure technologies. Key Responsibilities Lead and support the QlikView → Microsoft Fabric migration Build and maintain ETL processes and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and … analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is More ❯

Fabric, helping to design and deliver the next generation of their data environment using Azure technologies. Key Responsibilities Lead and support the QlikView → Microsoft Fabric migration Build and maintain ETL processes and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and … analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is More ❯

Fabric, helping to design and deliver the next generation of their data environment using Azure technologies. Key Responsibilities Lead and support the QlikView → Microsoft Fabric migration Build and maintain ETL processes and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and … analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is More ❯

IR35 🚂 Working pattern: Hybrid — 2 days per week in London office 💻 Python, Front Office Trading Systems, Metals Commodity Knowledge Key responsibilities Design, develop and maintain production Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. … maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or similar). Familiarity with More ❯

IR35 🚂 Working pattern: Hybrid — 2 days per week in London office 💻 Python, Front Office Trading Systems, Metals Commodity Knowledge Key responsibilities Design, develop and maintain production Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. … maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or similar). Familiarity with More ❯

IR35 🚂 Working pattern: Hybrid — 2 days per week in London office 💻 Python, Front Office Trading Systems, Metals Commodity Knowledge Key responsibilities Design, develop and maintain production Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. … maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB or similar). Familiarity with More ❯

Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data quality, integrity, and governance across all reporting layers Provide training and support to business users on BI tools … DAX, and data visualization best practices Advanced SQL skills and experience with relational databases Hands-on experience with Azure (e.g., Azure Data Factory, Azure SQL, Synapse) Solid understanding of ETL processes and data warehousing concepts Ability to work independently and communicate effectively with both technical and non-technical stakeholders Familiarity with regulatory and compliance considerations in financial data is a More ❯

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you … opportunity to join a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using … solutions Create mapping documents, transformation rules, and ensure quality delivery Contribute to DevOps processes, CI/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark More ❯

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you … opportunity to join a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using … solutions Create mapping documents, transformation rules, and ensure quality delivery Contribute to DevOps processes, CI/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark More ❯

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you … opportunity to join a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using … solutions Create mapping documents, transformation rules, and ensure quality delivery Contribute to DevOps processes, CI/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent experience within Insurance Technology essential Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL Strong skills in SQL, Python, and PySpark More ❯

in their career and personal development whilst managing, maintaining, and evolving the company's data platform and data sinks to support future growth. • Designing, creating, managing, and maintaining required ETL/ELT processes. • Providing input throughout key projects and into a data strategy and road map to enable future growth as well as addressing legacy systems. • Maintaining knowledge of technology … standards-based point of view. • Demonstrable in-depth knowledge and experience of Microsoft Azure data tools, particularly Microsoft Fabric, with an emphasis on OneLake and Data Factory. • ELT/ETL experience (Data Transformation). • SQL Server database and solution design, structure, maintenance and best practises. The successful candidate will be able to demonstrate an extensive breadth and depth of T … SQL skills. Desirable Skills and Experience: • Database design, structure, maintenance and best practises • Tableau • Power BI • SSAS • SSIS • Other ETL tools, particularly Microsoft Azure data tools This exciting Lead/Senior Data Engineer opportunity is offering an exciting salary up to 70K plus an extensive benefits package. If this role looks to be of interest, please reach out as soon More ❯

and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance optimisation, governance standards, and … and cross-functional workshops to support platform migration and ongoing delivery. Experience: 6–10 years experience with SQL Server (including T-SQL and performance tuning). Proven background in ETL/ELT design (ideally using Azure Data Factory). Hands on experience with cloud-based data ingestion and transformation (preferably Azure). Familiarity with Azure Medallion architecture or similar layered More ❯

and build data pipelines into Azure (Data Lake, Synapse, Blob Storage, Azure SQL) to ingest structured, semi-structured, and unstructured data from multiple sources and APIs. Develop and optimise ETL/ELT workflows using Azure Data Factory, applying robust transformation logic, validation, and lineage tracking to support analytics and reporting. Modernise and manage databases , ensuring performance optimisation, governance standards, and … and cross-functional workshops to support platform migration and ongoing delivery. Experience: 6–10 years experience with SQL Server (including T-SQL and performance tuning). Proven background in ETL/ELT design (ideally using Azure Data Factory). Hands on experience with cloud-based data ingestion and transformation (preferably Azure). Familiarity with Azure Medallion architecture or similar layered More ❯