Data Engineer

Job Description:

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Senior Data Engineer
Location: Central London - Hybrid (3 days on-site, 2 days remote)
Contract Length: 6 Months (with potential extension)
Rate : Inside IR35
About the role
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.
Key Responsibilities Solution Architecture & Delivery: Design, build, and optimize scalable, end-to-end data pipelines and modern lakehouse architectures to support critical business initiatives.
Technical Leadership & 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 & 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 & Practice: Champion best practices across internal Centers of Excellence (CoE) and Communities of Practice (CoP).
Key Skills & Experience 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 & 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 (e.g., MkDocs). xehkeey
£400.00 - £420.00 / day
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Job Details

Company
TALENT INTERNATIONAL UK LTD
Location
London, UK
Hybrid / Remote Options
Posted