1 to 25 of 383 ETL Jobs in England

Strong consulting skills: discovery, requirements, backlog shaping, and producing clear deliverables (designs, estimates, plans, and documentation). Knowledge of designing and implementing ELT/ETL processes and integrating disparate line‐of‐business systems and databases (batch and, where required, streaming). Proven track record operating at a senior technical level ...

other core systems are leveraged to their full potential. Essential Skills & Experience: Data Analysis & Visualisation: Proven ability to analyse operational data, identify trends, and extract actionable insights. Proficiency in SQL and data visualisation tools (specifically Power BI). ETL & Data Migration Experience: Experience working with ETL (Extract, Transform, Load) processes. … stakeholders. Preferred Skills & Experience: Direct experience leading a software decommissioning or tool-migration project. Experience with Python or R for advanced data analysis and ETL scripting. Experience working with Big Data environments and cloud-based platforms (e.g., Microsoft Azure, Google Cloud Platform). Salesforce Administrator or Developer certifications (or equivalent ...

other core systems are leveraged to their full potential. Essential Skills & Experience: Data Analysis & Visualisation: Proven ability to analyse operational data, identify trends, and extract actionable insights. Proficiency in SQL and data visualisation tools (specifically Power BI). ETL & Data Migration Experience: Experience working with ETL (Extract, Transform, Load) processes. … stakeholders. Preferred Skills & Experience: Direct experience leading a software decommissioning or tool-migration project. Experience with Python or R for advanced data analysis and ETL scripting. Experience working with Big Data environments and cloud-based platforms (e.g., Microsoft Azure, Google Cloud Platform). Salesforce Administrator or Developer certifications (or equivalent ...

based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data ...

data architectures. Knowledge and practical application of DevOps principles, tools, and methodologies. Strong SQL development and data modelling skills. Experience designing, developing, and maintaining ETL/ELT processes and data pipelines. Excellent analytical and problem-solving skills with the ability to translate complex requirements into effective technical solutions. Strong communication ...

Understanding of Direct Lake semantic modelling design considerations (model creation, table choices, and enforcing access rules). Proven experience with ingestion and transformation patterns (ETL/ELT concepts), data modelling, and delivering analytics-ready datasets. Ability to implement approaches that improve delivery reliability: data quality checks, monitoring, and operational feedback ...

medallion architecture. Strong Azure Data Factory, Azure Data Lake, Python/PySpark, SQL, MS SQL/Azure SQL experience. Good understanding of data modelling, ETL/ELT, data quality, governance, and lineage. Experience working in financial services or another regulated environment. Desirable Experience Wealth management, investment management, pensions, banking ...

value Drive best practice in data governance, cataloguing, lineage, and standards across the organisation Promote data re-use and reduce duplication across systems Oversee ETL processes, data integration, and BI architecture Manage and develop a small, high-performing data team, including mentoring, 1:1s, and continuous improvement initiatives Work closely ...

and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding of data governance frameworks ...

Senior Data Engineer, you'll be responsible for designing, developing and optimising our enterprise data platform. You'll: ✅ Design and build scalable ELT/ETL pipelines using Microsoft Fabric ✅ Help evolve and optimise our data warehouse architecture ✅ Transform legacy and spreadsheet-driven processes into automated, governed data solutions ✅ Develop robust ...

roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated ...

deliver robust data solutions that support operational and strategic objectives. This role requires active Security Check (SC) clearance Key Responsibilities Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources. Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies. Develop and ...

transition from legacy platforms where applicable Data Engineering & Integration Providing technical leadership across data engineering practices, including: Batch and streaming data pipelines ELT/ETL frameworks CI/CD for data platforms Architecting robust integrations from internal and third‐party systems Defining data quality, validation, and monitoring standards Governance, Security ...

maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. Develop and fine‐tune complex ...

maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. Develop and fine‐tune complex ...

platforms, platform architecture, and analytics within large, complex organisations. Strong hands‐on expertise across: Modern data stack & DataOps (Snowflake, Databricks). Platform architecture & engineering (ETL/ELT, modelling, warehousing). Cloud platforms (AWS, Azure, GCP). Programming (SQL essential, Python, Spark, Java/Scala). Data governance & security (including GDPR ...

Delivery Own It End-to-End: Manage and deliver BI infrastructure from initial brief and requirement gathering through to data pipeline development (APIs/ETL/ELT/SQL). Enable the Analysts: Work alongside your Data Analyst colleagues to help them generate impactful business insights and analysis. Data Platform ...

and clients. At mid‐level, we expect you to have a good grasp of core concepts of Data Engineering (data structures, databases, data manipulation, ETL, data quality), enabling you to write pipelines of moderate complexity in a consistent style. The technology we use varies between clients, so although we value ...

support safety, performance, regulatory compliance, and strategic decision‐making. Some of the main responsibilities of the Data Analyst will include: Develop and maintain robust ETL/ELT pipelines using Azure Data Factory to ingest data from operational systems, sensors, maintenance logs, and regulatory datasets. Use Azure Databricks (SQL/PySpark ...

deliver robust data solutions that support operational and strategic objectives. This role requires active Security Check (SC) clearance. Key Responsibilities * Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources. * Build scalable data ingestion and transformation frameworks using cloud-native and on-premise technologies. * Develop and ...

data modeling concepts (e.g., relational, dimensional models) Experience with data storage technologies (e.g., data warehouses, lakes, cloud platforms) Familiarity with data integration tools and ETL/ELT processes Understanding of AI & Data Processes and data-driven system design Preferred Skills Exposure to AI & Data Strategy and modern data platforms Knowledge ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people ...

high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features. * Ensure Data Quality ...

infrastructure. Develop and manage robust data pipelines to ingest, clean and transform data for reporting and analytics. Support and enhance the data warehouse, including ETL processes and data modelling activities. Collaborate with analysts, engineers and business stakeholders to deliver high-quality, data-led solutions. Monitor data performance and identify opportunities ...