1 to 25 of 1,531 ETL Jobs in the UK

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 engineering, property information and GIS. Key Requirements The ability to extract, transform and query data using SQL, Python or other ETL (Extract, Transform and Load) tools The technical capacity to design and build M and DAX queries within Microsoft Power BI Experience of managing complex datasets within a recognised ...

Teams, PowerApps, Power Query, Power Automate (MS Flow) and VBA for Process Automation. Knowledge of Data Warehousing concepts and experience with ETL (Extract, Transform and Load) processes. Experience using Agile Project Management tools such as Azure DevOps, JIRA or MS Project. Exceptional communication skills with the ability to convey complex ...

improve their financial wellbeing. Key Responsibilities: Data Pipelines and ETL Processes ETL Implementation : Implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions. Pipeline Development : Develop and configure meta-data driven data pipelines using data orchestration tools such … these tools. You will need to demonstrate the following skills and experience. Data Engineering experience, able to work independently following established patterns. Experience implementing ETL processes ideally in an Azure/MS Fabric environment. Experience and genuine competence in using SQL to query and manipulate data. Proficiency in cloud data ...

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 ...

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 ...

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 ...

SDLC) submitting work for technical test, cosmetic test and applying re-work when required. Dimensional Modelling (Kimball Methodology), database principles and ETL (Extract, Transform and Load). Coordinate and maintain the reporting requirements backlog, working with stakeholders to deliver value at the right time. Required to perform duties ...

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 ...

data platforms using SQL and Python. Experience with Microsoft Fabric, Azure data services or a comparable cloud data platform. Understanding of data modelling, ETL/ELT, APIs, data quality and structured and unstructured data processing. Experience applying software engineering practices including version control, testing, documentation and deployment. Practical understanding ...

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 ...

Databricks Integrate data from multiple systems into Azure Data Lake Storage or OneLake, ensuring consistency, reliability, and performance Develop and maintain ELT/ETL processes using Azure-native tools and Fabric capabilities, optimising for cost and performance Build and maintain Microsoft Fabric artefacts including lakehouses, warehouses, notebooks, dataflows, and semantic ...

automation. Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation. Experience with SSIS for ETL processes and legacy data integration tasks. Expertise in designing and implementing CI/CD pipelines using tools such as Azure DevOps. Experience with Infrastructure ...

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 ...

engineering role, ideally within a regulated environment Knowledge of the following is required: Modern Data platform concepts; Data Lake, Lakehouse, Data Warehouse, Data Vault ETL/ELT processes and designing, building and testing data pipelines Building data transformations using Python/PySpark Azure Cloud Version control and CI/ ...

semantic modelling using DAX and Power Query. Analysing data to identify trends, risks and recommendations. Data Engineering and Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g. Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics ...

semantic modelling using DAX and Power Query. Analysing data to identify trends, risks and recommendations. Data Engineering and Analytics Engineering Building data pipelines and ETL/ELT workflows. Working with at least one cloud data platform (e.g., Azure, Microsoft Fabric, Databricks, Snowflake). Designing data models for reporting, analytics ...

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 ...

experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilities Expertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworks Proven ability to rapidly evaluate, prototype, and compare emerging technologies and architectural patterns Experience designing large-scale analytical platforms supporting high-volume and high ...

experience with Snowflake, including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilitiesExpertise in Apache Spark, Python, SQL, and modern ELT/ETL frameworksProven ability to rapidly evaluate, prototype, and compare emerging technologies and architectural patternsExperience designing large-scale analytical platforms supporting high-volume and high-velocity datasetsStrong understanding ...

information. Data Platform Development: Builds and maintains scalable and robust data platforms to support analytics, machine learning, and business intelligence. Data Integration and ETL: Develops and optimizes ETL (Extract, Transform, Load) processes and data integration pipelines. Ensures efficient data flow across various sources and systems. Advanced File Processing: Develops extensible ...

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 ...

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 maintain data warehouse environments, such as: Azure Synapse AnalyticsSQL Server/Azure SQL DBSnowflake or BigQuery (optional, if used in hybrid environments)Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCAInvestigate job failures and performance issues across data pipelines, ML endpoints, and dashboards. ...