Senior Data Engineer : Azure & Databricks

Overview

As a Senior Data Engineer, you will drive data foundations and enable data-driven decisions in front-office trading. You’ll work within a data-flow project to improve insight for trading desks, collaborating with cross-functional teams to embed foundational data capabilities. You will champion efficient implementation, cost control, and scalable data platforms, delivering tangible value. This role offers a chance to shape data strategy in a world-leading energy trader while building community and governance around data innovation.

Responsibilities

• Roll out and embed Data Foundation initiatives to support key business programs
• Coordinate change, incident, and problem management processes
• Present reports and findings to stakeholders as SME in Data Analysis & Design
• Drive efficiency and speed of implementation across pilots and future projects
• Contribute to CoE/CoP and community-building initiatives
• Support trading information flow improvements and data-driven decision making

Key requirements

• Master in AWS/Azure/SAP
• Master in ELT
• Master in Data Modeling
• Data Integration & Ingestion (skill)
• Data Manipulation and Processing (skill)
• GITHUB, Action, Azure DevOps (skill)
• Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest (skill)

• Curiosity and continuous learning
• Strong communicator across technical and business audiences
• Trusted collaborator with leaders and staff
• Data Modeling
• ELT
• Data Integration & Ingestion

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