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# DataStage Data Engineer

- **Company:** LA International
- **Location:** London, UK
- **Salary:** £133,640.0
- **Contract:** Temporary contract
- **Skills:** Clean Code Principles, Java (Programming Language), Amazon Web Services, Amazon S3, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, Relational Databases, IBM InfoSphere DataStage, Github, SQL Databases, Software Technical Review, Xml Technologies, Cloud Platform System, Real Time Systems, Sql Optimization, Gitlab, Deployment Automation, Data Analytics, AWS Data Analytics, Real Time Data, Data Management, Software Version Control, Data Pipelines, Devsecops, Amazon Redshift
- **Published:** October 28, 2026
- **Apply:** https://www.lainternational.com/careers/datastate-data-engineer-united-kingdom-151423_1793180305-29129?navigation=true

## About the Role

* Strong commercial experience with IBM DataStage.
 * Proven expertise in data migration and ETL development, including both batch and real-time processing.
 * Experience designing and supporting enterprise data warehouse solutions.
 * Hands-on experience with:
o Amazon Redshift
o Amazon S3
o Amazon QuickSight

 * Strong understanding of DevSecOps methodologies and modern software delivery practices.
 * Proficiency in Java development.
 * Advanced SQL skills.
 * Experience working with relational databases.
 * Hands-on experience with GitHub and/or GitLab.
 * Strong analytical, problem-solving, and stakeholder engagement skills.
 * Ability to work effectively within Agile delivery environments.

Desirable Skills

 * Experience implementing and monitoring data quality frameworks.
 * Knowledge of XML technologies and data formats.
 * AWS Certified Data Analytics or AWS Data Specialty Certification.
 * Experience working within large-scale cloud migration or transformation programmes.

Candidate Profile
The ideal candidate will be a proactive and technically strong Data Engineer with a proven track record of delivering enterprise-scale data solutions. They will possess excellent communication skills, a collaborative approach to problem solving, and the ability to operate effectively within fast-paced, complex environments.

## Description

An exciting opportunity is available for an experienced DataStage Data Engineer to join a high-profile programme delivering complex data integration and migration solutions within a large-scale enterprise environment. The successful candidate will play a key role in designing, developing, and supporting robust data pipelines, ETL processes, and data warehouse solutions using a range of AWS and enterprise data technologies., This role requires a strong technical background in data engineering, ETL development, cloud-based data platforms, and DevSecOps practices. You will work closely with architects, developers, business stakeholders, and delivery teams to ensure the successful movement, transformation, and management of critical business data., * Design, develop, and maintain scalable ETL and data migration solutions using IBM DataStage.

 * Build and optimise batch and real-time data integration pipelines to support business and operational requirements.
 * Develop and enhance data warehouse solutions, ensuring high performance, resilience, and scalability.
 * Design and implement data solutions using AWS services, including Amazon Redshift, Amazon S3, and Amazon QuickSight.
 * Collaborate with cross-functional teams to analyse data requirements and translate them into technical solutions.
 * Support the adoption of DevSecOps principles, ensuring secure and automated deployment practices.
 * Develop and maintain high-quality code using Java and SQL.
 * Design, query, and optimise relational database structures and data models.
 * Implement source control, version management, and CI/CD processes using GitHub and/or GitLab.
 * Troubleshoot and resolve data-related issues, ensuring data integrity and platform stability.
 * Contribute to technical design reviews, code reviews, and best practice initiatives across the engineering team.