Senior Data Engineer: Azure
Summary
Senior Data Engineer leading hands-on data-engineering work on a front-office data flow project for a world-leading energy trading company in London: building data foundations, ELT pipelines and data models on Azure (Data Factory, Databricks, Synapse), coordinating change/incident management, and presenting insights to stakeholders.
Overview
In this role you will lead data engineering efforts within a front-office data flow project for a world-leading energy trading company. You will drive data foundation initiatives, coordinate change and incident management, and present insights to stakeholders. You will work to improve efficiency, speed, and value delivery across pilots and future projects, while contributing to CoE/CoP initiatives. This is a hands-on, cross-functional role focused on building scalable data capabilities in a trading environment.
Responsibilities
- Roll out and embed Data Foundation initiatives in support of key business programmers
- Coordinate change management, incident management and problem management processes
- Present reports and findings to stakeholders; act as SME on Data Analysis & Design
- Drive implementation efficiency across pilots and future projects to maximize value and speed
- Contribute to community initiatives like CoE, CoP
- Support trading information flow improvements and data-driven decision making
Key requirements
- AWS/Azure/SAP – Master
- ELT – Master
- Data Modeling – Master
- 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
- Excellent communication to technical and business audiences
- Stakeholder engagement
- Collaborative mindset and ability to work cross-functionally
- Data Factory
- Databricks
- SQL DB