9 of 9 Complex ETL Jobs in England

Code deployment tools. Validate data for completeness and correctness; ensure ETL code meets expectations. Communicate status, issues, and blockers to project managers and ETL team leads. Identify and solve opportunities for continuous improvement of ETL interfaces. Update and publish documentation, system diagrams, and project plans. Attend project … and ETL meetings; conduct knowledge transfer sessions. Assist Production support teams with resolving production incidents related to ETL processes as needed. Skills & Experience: Several years of hands-on experience with IBM DataStage and various versions. Involvement in full project life cycles, from requirements gathering to deployment and maintenance ...

collaborating with various stakeholders to understand and address their data integration needs. You will utilize your expertise in Informatica to develop, implement, and maintain ETL processes that contribute to meeting our clients' objectives.Your typical week will include: Design, develop, and maintain complex ETL processes using Informatica … need to bring to the table: Proven experience as an Informatica ETL specialist , ideally 5+ years. Solid understanding of data warehousing concepts and ETL processes Proficiency in SQL and database management systems Experience with data modeling and data integration strategies Ability to work under tight deadlines and manage ...

pipelines, models, and performance. In this role, you will: Design, build, and maintain scalable data pipelines in Azure and Snowflake Develop and optimise ETL and ELT processes for batch and micro-batch workloads Build and enhance enterprise data warehouse models Write and optimise complex SQL queries … preferred) Strong expertise in Azure Data Factory, Azure SQL, Azure Storage, Azure Functions, and Snowflake (1+ year) Advanced SQL skills, including complex ETL and dimensional/data modeling Experience building batch and micro-batch data pipelines Deep understanding of enterprise data warehouse architecture and methodologies Experience working ...

oversee Azure-based solutions to support analytics functions. Design and evolve the Azure/Databricks modern data platform architecture. Build, optimise and maintain scalable ETL/ELT pipelines and data models. Implement data governance, lineage and cataloguing using Purview/Unity Catalog. Establish data quality frameworks, monitoring and observability … aligned change and incident management. Proven expertise in delivering Azure and Databricks data platform solutions. Strong background in designing and optimising complex ETL/ELT pipelines. Hands-on experience with data governance, lineage and cataloguing tools. Proven ability to implement data quality, monitoring and observability practices. Experience ...

Snowflake . This role is central to powering our BI, analytics, and AI/ML initiatives. The Role Build & Integrate: Develop complex ETL/ELT pipelines and implement OneLake interoperability between Fabric and Snowflake. Architect: Operate a Medallion architecture (Bronze/Silver/Gold) and design curated ...

Augmented Generation to ensure they operate with efficient, scalable and future-ready digital capabilities. Their toolset includes AWS hosted databases and complex ETL pipeline tools, integration platforms and integration of data for consumption by data services and data applications based on PowerBI, powerapp, and other tools ...

legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn't just a lift and shift you will refactor complex procedural … logic into scalable, production-ready distributed pipelines for a Tier-1 financial services environment. Core Responsibilities Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable ...

legacy SAS analytics to a modern, cloud-native PySpark ecosystem on AWS. This isn't just a lift and shift you will refactor complex procedural … logic into scalable, production-ready distributed pipelines for a Tier-1 financial services environment. Core Responsibilities Engineering Leadership: Design and develop complex ETL/ELT pipelines and Data Marts using PySpark, EMR, and Glue. Legacy Modernisation: Architect the conversion of SAS Base/Macros into modular, testable ...

code (Base SAS, Macros, DI Studio) to PySpark using automated tools (SAS2PY) and manual refactoring. Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS. Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness. Quality Assurance: Implement clean … Glue Workflows. SAS Knowledge (P1): Solid foundation in SAS to enable the understanding and debugging of legacy logic for conversion. Data Modeling: Expertise in ETL/ELT, dimensions, facts, SCDs, and data mart architecture. Engineering Quality: Experience with parameterisation, exception handling, and modular Python design. Additional Details Industry: Financial ...