Senior Data Engineer
Role details
Job location
Tech stack
Job description
- Design and build data solutions aligned with our business and IT strategy
- Lead the development of scalable data pipelines and models using Azure and Databricks
- Support data foundation initiatives, ensuring effective rollout across business units
- Act as a bridge between technical and non-technical stakeholders, presenting insights clearly
- Oversee change management, incident management, and data quality improvement
- Contribute to best practice sharing and community-building initiatives within the data engineering space
Technologies:
- AWS
- Azure
- Cloud
- Data Warehouse
- Databricks
- DevOps
- ETL
- GitHub
- Support
- SAP
- SQL
- pytest, We are looking for a Senior Data Engineer (Databricks) to join our world-leading energy organization on a key transformation program within our trading and supply division. This is an exciting opportunity for you to play a pivotal role in building modern, scalable data solutions using Azure cloud technologies.
As a Senior Data Engineer, you will be responsible for designing and developing robust data foundations and end-to-end solutions that drive value across the business. You will help shape and embed data-driven thinking across both technical and business teams, ensuring we continue to lead with insight and innovation. Additionally, you will act as a subject matter expert, guiding technical decisions, mentoring junior engineers, and ensuring data engineering best practices are consistently applied.
You will be joining a large-scale program focused on modernizing a global data warehouse platform using Azure technologies. The project aims to deliver a unified and standardized view of data across international operations, a key enabler for smarter, data-driven trading decisions. If you are a data engineer with deep Azure and Databricks experience and enjoy solving complex challenges within a global business, this contract offers a chance to make a real impact on a high-profile initiative.
Requirements
- Strong expertise in cloud platforms (AWS/Azure/SAP)
- Advanced proficiency in ETL/ELT pipelines
- Expert-level data modeling skills
- Skilled in data integration and ingestion
- Experience with Databricks, SQL, Synapse, Data Factory, and related Azure services
- Familiarity with version control and DevOps tools (GITHUB, Azure DevOps, Actions)
- Experience with testing and automation tools (PyTest, SonarQube)
