1 to 25 of 1,003 ETL Jobs in England

warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services.* Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality … more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven ...

data architecture, reporting and governance foundations needed for longer‐term transformation. What You'll Be Doing as a Data Engineer: Design, build and improve ETL and ELT pipelines that support data ingestion, profiling, reconciliation, cleansing and reporting across enterprise source systems. Building data catalogues, data flows, interface views and trusted ...

Strong SQL skills with experience writing complex queries, stored procedures and performance tuning. Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries ...

Strong SQL skills with experience writing complex queries, stored procedures and performance tuning. Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries ...

deployment cycle, from post-sales planning and scoping through to model and user-interface delivery. Set up, validate, and diagnose ETL (Extract, Transform and Load) integrations using cloud and data-transformation applications. Configure, transform, and debug data pipelines connecting TransUnion, clients, and their data sources. Represent TransUnion’s measurement product … Advance level Excel skills. Advance level familiarity with Ad Server/Web Analytics data (Adobe/GA) is highly desirable. Advance level understanding of ETL best practices and familiar with several forms of ETL methodologies/technologies. Advance familiarity with database design. Advance familiarity with data visualization and analytics (with ...

Lakes, Blob Containers). Experience with data transformation and modelling techniques. Thorough understanding and experience with data warehousing concepts and dimensional modelling. Experience with ETL and orchestration tooling (Data Factory, Databricks). Experience with data governance and cataloguing using Databricks Unity Catalog (access control, lineage, discoverability). Experience with Azure ...

good-to-have skill. Key Responsibilities Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines using Azure Data Factory. Develop robust ETL/ELT processes to ingest, transform, and publish data across enterprise platforms. Work with structured and semi-structured data, applying appropriate data modelling, validation, and quality ...

and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate job failures and performance issues across data pipelines, ML endpoints, and ...

Data platform concepts; Data Lake, Lakehouse, Data Warehouse, Data Vault Azure Data Technologies; Azure Data Lake Storage, Azure Data Factory, Azure Databricks, MS Fabric ETL/ELT processes and designing, building and testing data pipelines Building data transformations using Python/PySpark Azure Cloud Version control and CI/ ...

Microsoft Azure, Snowflake, hybrid on-premise and cloud architecture Databases-Microsoft SQL Server, MongoDB, SQLite, relational and non‐relational database design Engineering-SQL, Python, ETL/ELT, APIs, data modelling, data warehousing, testing and observability Orchestration-Azure Data Factory, Prefect, Airflow or comparable workflow platforms Business intelligence-Power BI, SSRS ...

consulting, client-facing roles, or equivalent industry experience delivering data engineering and architecture solutions. Strong understanding of data engineering principles, including pipeline design, ETL/ELT, ingestion patterns, orchestration, and integration approaches. Experience designing or governing modern data architectures (lakehouse, warehouse, data mesh, data fabric). Hands-on experience with ...

also have: Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya). Relational Databases and Data Warehousing concepts. Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Project experience using the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross and multi ...

across business intelligence and data engineering. What you’ll be doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes ...

and controlling. Experience with Prophix, Unit4, or Visma is an advantage. Strong in SQL and data modelling, with hands-on experience developing and operating ETL/ELT pipelines and business system integrations. Experienced in automating data processing and extracting data from REST APIs using Python, .NET, or similar technologies. Proficient ...

term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to business use cases. Work with federated ...

term sustainability. 5+ years of experience in data engineering (or 3+ years with strong Foundry depth). Key Responsibilities Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production-ready components. Build and maintain high-quality, version-controlled data products aligned to business use cases. Work with federated ...

optimising complex queries and data transformations. Practical commercial experience using Python for data processing, integration, automation or pipeline development. Experience developing, supporting and troubleshooting ETL/ELT processes and data pipelines. Good understanding of data warehousing and dimensional modelling principles. Experience integrating data from multiple systems, including databases, files and ...

flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent BI tools — building interactive dashboards with drill-down, filtering, and alerting Experience with ...

flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent BI tools — building interactive dashboards with drill‐down, filtering, and alerting Experience with ...

and collaborate with technical and non-technical stakeholders. Hands‐on expertise with SQL Server, SSIS, and relational databases, including writing complex queries and building ETL processes. Practical experience in network engineering, including network monitoring, troubleshooting, and ensuring secure data transmission. Proficiency with reporting and visualization tools (e.g., Power BI, Tableau ...

successfully built, enhanced or operated cloud‐based data platforms, ideally within Azure environments. Data Architecture Knowledge - You understand data modelling, ELT/ETL design, Delta Lake principles, data quality frameworks and modern engineering best practices. Cloud & DevOps Capability - You have experience with Azure services, automation, CI/CD pipelines and ...

dimensional modelling Experience with CI/CD pipelines using Azure DevOps or GitHub Understanding cloud architecture and distributed data processing Data Management Experience with ETL/ELT frameworks and data integration patterns Knowledge of data quality, data governance and metadata management Familiarity with big data technologies and streaming solutions ...

data sharing, including contracts, data minimisation, and consent where applicable. Skills, Knowledge and Expertise Technical Expertise: MS Fabric, Power BI, data modelling, SQL, Python, ETL tools, cloud platforms (Azure/AWS/GCP), and working knowledge of AI productivity tools including Microsoft Copilot and Claude. Data Governance & Quality: Strong understanding ...

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 ...

data warehousing, data lakes, and lakehouse architectures. Hands‐on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...