Data Engineer

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).

• 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).

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