Exciting opportunity for a Data Engineering Lead (Data Acquisition) to join this global Energy company.
This is an exciting time to join this world-leading Energy company as it evolves from a traditional Oil & Gas enterprise into a future-focused Energy leader.
You will lead a data acquisition function within an Energy Trading & Supply organization, owning ingestion strategy, pipeline delivery on Azure and a team of data engineers serving Trading, Risk, Finance and Operations.
Key Responsibilities
* Own and define the data ingestion strategy; design and build scalable pipelines on Azure (ADLS, ADF, Databricks, Synapse, Event Hubs/Kafka) with robust observability and SLAs.
* Translate requirements from trading, risk, operations and finance into a prioritised engineering backlog, working closely with architects and product owners.
* Serve as the domain's Data Manager, stewarding data definitions, lineage, quality, metadata and access policies.
* Lead, coach and develop a team of data engineers, driving high standards in coding, design and production operations.
* Ensure data platforms are resilient, secure and compliant with relevant trading regulations (REMIT/EMIR).
Experience & Skills
* 10+ years in data engineering, with 3–5 years leading teams in complex, real-time environments.
* Strong hands‑on expertise in Azure data services and Python, SQL, Spark/PySpark.
* Solid understanding of streaming and batch ingestion patterns, schema management and API integration.
* Proven ability to lead engineering teams in an Agile/DevOps environment with CI/CD practices.
* Experience with energy trading systems (ETRM/Endur), market data platforms (ICE, Platts, Bloomberg) and SAP is advantageous.
* Degree in Computer Science/Engineering or equivalent; Azure or Databricks certifications desirable.
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