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# Data Engineer

- **Company:** Talent International
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £104,000.0 - £109,200.0
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Unit Testing, Microsoft Azure, Big Data, Cloud Computing, Static Program Analysis, Software Quality, Continuous Integration, Information Engineering, Data Systems, Github, Scrum Methodology, SAP (Applications), SonarQube, Cloud Platform System, Azure Data Factory, Data Strategy, Pytest, Core Data, AWS Glue, Data Analytics, Stream Analytics, Data Pipelines, Databricks
- **Published:** November 6, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-AD4B5183BE032AC9C8/

## About the Role

* Cloud Platforms: Advanced, production-level expertise across major cloud ecosystems ( Azure, AWS, or enterprise enterprise data environments like SAP ).
 * Data Engineering Core: Mastery in modern ELT patterns, complex data modelling (dimensional, semantic, or lakehouse frameworks), and large-scale data ingestion and transformation.
 * Pipeline and Analytics Tooling: Hands-on experience with modern data stacks such as Databricks, Azure Data Factory/Synapse, AWS Glue/Redshift, or Airflow/Stream Analytics .
 * Engineering Best Practices: Proven track record applying software craftsmanship principles to data pipelines, including automated CI/CD ( GitHub Actions, Azure DevOps ), unit testing ( PyTest ), and automated code analysis ( SonarQube ).
 * Consulting Mindset: Excellent communication, cross-functional collaboration, and the ability to navigate complex, fast-paced enterprise environments.

Desirable Experience

 * Exposure to large-scale, complex trading, commodities, energy, supply chain, or planning/finance data domains.
 * Experience leading or acting as a technical lead/Scrum Master within Agile delivery squads.
 * Hands-on knowledge of modern technical documentation tooling (eg, MkDocs).

## Description

A global consulting practice is seeking an experienced, high-calibre Senior Data Engineer to join a flagship enterprise transformation programme.

In this role, you will act as a subject matter expert and technical anchor, designing and delivering robust, scalable data foundations and end-to-end data solutions. Operating at the intersection of technical architecture and commercial value, you will translate strategic data visions into production-ready platforms while fostering data-driven thinking across multidisciplinary teams and business stakeholders., * Solution Architecture and Delivery: Design, build, and optimize scalable, end-to-end data pipelines and modern lakehouse architectures to support critical business initiatives.

 * Technical Leadership and Mentorship: Serve as an SME across core data disciplines, providing hands-on leadership, establishing engineering standards, and mentoring junior engineers.
 * Stakeholder Engagement: Translate complex data strategy into tangible IT deliverables, communicating effectively with both deep-technical squads and executive business leads.
 * Governance and Reliability: Coordinate change management, problem resolution, and incident response across critical pipelines, driving continuous improvement through CI/CD, rigorous testing, and code quality controls.
 * Community and Practice: Champion best practices across internal Centers of Excellence (CoE) and Communities of Practice (CoP).