Data Engineer Manager

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Job Description:

The Data Engineering Manager is responsible for defining and executing a modern, scalable, and governed data engineering strategy to support trading, analytics, and AI/ML use cases across the organisation.

This role sits within the core technology function, reporting to the Head of Technology, and working closely with platform, infrastructure and security teams to build reliable, governed and high-performance data systems that serve the entire business.

The focus is on delivering high-quality, reliable, and reusable data products through event-driven architectures and high-throughput data pipelines.

Operating within the core technology function, this role combines hands-on data engineering expertise with full ownership of the underlying data platform and its integration within the broader infrastructure landscape, ensuring alignment with enterprise architecture, security, and operational standards.

Working closely with Trading, Risk, Finance, and Technology teams, this role ensures that complex data is transformed into trusted, accessible, and performant datasets aligned with governance frameworks and the firm’s semantic/knowledge-graph vision.

Main Responsibilities

• Define and execute the end-to-end data engineering strategy (ingest → govern → serve → observe), aligned with enterprise architecture, platform standards, and data governance.

• Own the design, build, and operation of the data platform on Azure and Snowflake, including its integration with infrastructure components, ensuring scalability, security, and reliability.

• Design and implement event-driven architectures and high-throughput data pipelines to support real-time and batch data processing.

• Develop and industrialise high-performance data pipelines across key domains such as market/curve data, ETRM/CTRM systems, and finance/settlement, ensuring SLOs, lineage, and DR/BCP requirements are met.

• Define and enforce engineering standards across data pipelines, data models, APIs, and serving layers (SQL/API/Graph) to ensure consistency, reuse, and scalability.

• Embed data governance by design, including data contracts, data quality rules, access controls, masking, retention, and compliance requirements.

• Drive performance optimisation and cloud cost optimisation through efficient architecture and FinOps practices.

• Own the reliability and operational excellence of the data platform, including observability (metrics, logs, traces), incident management, and continuous improvement of critical data flows.

• Lead, coach, and scale a global team of data engineers, ensuring strong technical standards, delivery excellence, and a high-performing engineering culture.

• Act as the key interface between data engineering and the broader technology ecosystem (platform, infrastructure, security), ensuring seamless integration and alignment with enterprise standards.

• Partner with Business to prioritise initiatives and deliver impactful, production-grade data solutions.

Profile

• Bachelor’s degree or higher in Computer Science, Engineering, Applied Mathematics, or a related field.

• 7–10 years of experience in data engineering or data platform roles, including team leadership in complex, real-time environments.

• Strong hands-on experience with Azure as well as Snowflake, including performance, security, and cost optimisation.

• Solid experience with modern data architectures and tools (i.e. Terraform, Dagster).

• Proven ability to build and operate scalable, high-performance data pipelines with strong focus on reliability and observability.

• Strong understanding of platform and infrastructure concepts.

• Experience with data governance practices and enabling data for AI/ML use cases.

• Strong stakeholder management and communication skills, with the ability to work across technical and business teams.

• Ability to manage and prioritize multiple tasks in a fast-paced, deadline-driven environment

• Energy commodity trading experiences a real advantage

• Other cloud platform knowledge a plus

• Fluent in English (spoken and written)

If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.