6 of 6 Remote/Hybrid ETL Development Jobs in the UK

Engineer you will design, build, and maintain high quality data pipelines, integrations, and data platform components that underpin data products across the organization using ETL with SQL Server, SSIS and Alteryx amongst other technologies. Operating within a product centric model, the role flexes across multiple capability areas-including Master … with Product Owners, Data Architects, Analysts, and SMEs to deliver incremental value aligned to product outcomes. Core Duties: * Core Data Engineering * SQL Server Database Development * Develop data models and curated layers to support data product use cases. * Ensure data quality, reliability, and performance across pipelines and data models * ETL ...

Engineer you will design, build, and maintain high quality data pipelines, integrations, and data platform components that underpin data products across the organization using ETL with SQL Server, SSIS and Alteryx amongst other technologies. Operating within a product centric model, the role flexes across multiple capability areas—including Master … with Product Owners, Data Architects, Analysts, and SMEs to deliver incremental value aligned to product outcomes. Core Duties: Core Data Engineering SQL Server Database Development Develop data models and curated layers to support data product use cases. Ensure data quality, reliability, and performance across pipelines and data models ETL ...

technical expertise will directly influence the future of the data platform. Key Responsibilities Design and deliver scalable Azure-based data pipelines Build and maintain ETL workflows supporting analytics and reporting Support Azure Synapse and Azure Data Lake production environments Contribute to the migration and adoption of Microsoft Fabric Develop … best practice Requirements Strong experience in Azure data engineering Advanced SQL skills including performance tuning Experience with Azure Synapse and Azure Data Lake Strong ETL development experience Experience working with Power BI Knowledge of Microsoft Fabric Experience working within Agile environments Strong communication and collaboration skills Benefits ...

period. Assist with the implementation of the data migration pipeline for the Authority's Health Record based on InterSystems IRIS. This will include design, development, testing, and monitoring. Configuration, deployment, and testing of the supporting infrastructure and environments required for data migration, including populating and making available a terminology … server, agreeing firewall rules, and implementing ETL and analysis tooling based on the Cloud Azure platform. Creation and maintenance of data mappings and transformation logic for the data migration pipelines, ensuring alignment with the target data model and business rules. This will include analysis and implementation of clinical terminology ...

building and optimising scalable data platforms within a cloud-first environment. Key Responsibilities Design, build, and maintain scalable data pipelines Develop and manage ETL processes across Azure data platforms Work with Azure Data Factory, Azure Data Lake, and Azure SQL Collaborate with stakeholders to integrate data from multiple sources … Support data warehouse development and optimisation Implement best practices across data engineering and pipeline performance Contribute to CI/CD pipelines and deployment processes Required Skills & Experience Strong experience with Azure Data Factory, Azure Data Lake, and Azure SQL Solid background in ETL development and data pipeline ...

Umbrella) Contract: Initial 6 Months Role Overview Our client is seeking a skilled Senior Data Engineer to lead the design, development, and maintenance of data integration solutions and data warehouse environments. This role will focus on building and optimising ETL/ELT pipelines, supporting data warehousing initiatives, and … Create and maintain optimal data flows and data pipeline architectures. Develop and manage data warehouse objects, including tables, views, and security roles in Snowflake. Extract data from diverse sources, including databases, flat files, and APIs. Transform and cleanse data to ensure quality and integrity. Load data into the data warehouse ...