We are seeking an experienced IBM DataStage Engineer to design, develop, enhance, and support enterprise ETL and data integration solutions within a regulated banking environment. You will be responsible for delivering reliable, scalable, and high-quality data pipelines using IBM DataStage, working closely with Business Analysts, Data Architects, DBAs, infrastructure teams, and downstream data consumers.
Contract Information
- Job title: DataStage Engineer
- Location: Manchester
- Work model: Hybrid – 2/3 days on-site
- Contract length: Until 31/12/2026
- Contract type: Inside IR35
Key Responsibilities
- Design, develop, enhance, and maintain ETL jobs and sequences using IBM DataStage.
- Develop end-to-end data pipelines from source systems into data warehouses and downstream platforms.
- Build and maintain robust, reusable, and scalable DataStage components.
- Produce ETL design documents, source-to-target mappings, and technical documentation.
- Perform data profiling, validation, and reconciliation to maintain high levels of data quality.
- Optimise DataStage jobs for performance, scalability, and reliability.
- Troubleshoot and resolve ETL failures, data issues, and production incidents.
- Support critical batch processes and production data flows.
- Work closely with DBAs, UNIX teams, schedulers, application teams, and wider data teams.
- Support deployments and controlled releases across development, test, and production environments.
- Lead ETL design reviews and contribute to technical and architectural decisions.
- Mentor junior developers where required.
- Ensure solutions adhere to banking controls, SDLC standards, and change management processes.
- Strong hands-on commercial experience with IBM DataStage, ideally DataStage 11.x.
- Strong understanding of ETL and Data Warehousing principles.
- Experience with UNIX / Shell scripting.
- Strong understanding of relational databases and data modelling.
- Experience working with:
- Lookups
- Change Capture
- Sequential Files
- Data Sets
- Column Generator
- Job parameterisation
- Shared containers
- Reusable DataStage components
- Experience connecting DataStage to databases such as Oracle, Teradata and/or DB2.
- Strong ETL troubleshooting and performance-tuning experience.
- Experience working within enterprise-scale data environments.
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