Senior Data Engineer : Azure & Databricks
Senior Data Engineer building and embedding data foundations for front-office trading at a major energy trader — rolling out data-platform initiatives, coordinating change/incident management, and reporting to stakeholders. Core stack is Azure and Databricks with ELT, data modeling, and pipeline tools like Data Factory, Synapse, Airflow, and Redshift.
- Compensation
- Not disclosed
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Master-level AWS/Azure/SAP expertise
- Master-level ELT expertise
- Master-level Data Modeling
- Data Integration & Ingestion
- Data Manipulation and Processing
- GitHub, GitHub Actions, Azure DevOps
- Experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest
- Curiosity and continuous learning
- Strong communicator across technical and business audiences
- Trusted collaborator with leaders and staff
Full description
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