26 to 32 of 32 ETL Jobs in Yorkshire

practices in .NET development What We're Looking For: Expert .NET Developer: Deep knowledge SQL Server Proficiency: Strong fundamentals in querying, table design, and ETL processing large datasets (performance tuning not required) ADO.Net Expertise: Familiarity with EntityFramework or other ORMs is a plus, but not essential Async & Multithreading Mastery: Experience ...

into our platform. This role owns the end-to-end migration lifecycle: extraction, transformation, validation, reconciliation, and loading of data using API-led and ETL approaches. In addition, this role will advise on and help shape an internal data warehouse that will act as the foundation for migration preparation, cleansing … single source of truth for database migrations. Key Responsibilities Lead the data migration workstream, including planning, scoping, mapping, cleansing, testing, and loading. Extract data from legacy CMS/PMS and related systems and transform datasets to meet target data models. Use API-based tools and integration frameworks to perform data ...

onboarding) What you'll be doing Developing and optimising SQL Server solutions (T-SQL, stored procedures, functions, views, indexing, performance tuning) Building and maintaining ETL/data synchronisation processes (SSIS and/or Azure Data Factory) Supporting high-volume operational data flows and ensuring data accuracy across systems Troubleshooting production … and reporting outputs What we're looking for Essential Strong commercial SQL Server and T-SQL development Proven performance tuning and optimisation experience Solid ETL/data integration experience (SSIS and/or Azure Data Factory) Comfortable working in live operational environments (support, troubleshooting, delivery to deadlines) Desirable C#/ ...

Only) This is a standout opportunity to take technical ownership of a modern data engineering function. You will shape data architecture, build high-impact ETL pipelines, and play a key role in developing both the platform and the team as they enter their next phase of growth. THE COMPANY They … team focused on data ingestion and modelling. Specifically, you can expect to be involved in the following: Leading the design, build and optimisation of ETL pipelines and ingestion frameworks. Owning core data engineering solutions across modelling, transformation and orchestration. Acting as a technical lead while providing light people leadership ...

hiring for Senior Data Platform Architect (ETL/Zscaler/VPC patterns/Microservice/VPN/Confluence/SharePoint) Location: UK (Mostly Remote | Occasional travel to London, Birmingham, Manchester or Newcastle) Job Description: Lead the architectural modernisation of a large-scale, brownfield data platform within a public sector environment. … engagement across multiple delivery teams. Ensure infrastructure, security, and network architecture align with government security and compliance standards. Key Skills: AWS, Azure, Data Architecture, ETL, ELT, Microservices, Schema Evolution, Multi-Cloud, Zscaler, VPC, VPN, Kotlin, Java, Python, Confluence, SharePoint, SC Clearance ...

following: Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs. Ownership of data infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands … expertise across data engineering, data infrastructure and cloud-based architecture. Proven capability designing and delivering end-to-end data platforms. Hands on experience with ETL development, data modelling and data normalization. Background in AWS environments and modern orchestration tools such as Airflow or Dagster. Confidence leading client conversations, running workshops ...

following: Running client workshops to understand complex, ambiguous challenges, translating requirements into clear technical strategies and architectural designs. Ownership of data infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands … expertise across data engineering, data infrastructure and cloud-based architecture. Proven capability designing and delivering end-to-end data platforms. Hands on experience with ETL development, data modelling and data normalization. Background in AWS environments and modern orchestration tools such as Airflow or Dagster. Confidence leading client conversations, running workshops ...