Data Engineer
Skills
Azure DatabricksBusiness TransformationData AnalyticsData ScienceEnhanced Data Rates For GSM EvolutionFoundationsKey Metrics
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong hands-on experience building and maintaining ETL/data pipelines
- Proficiency in SQL and Python
- Experience with cloud-based data platforms ideally Microsoft Azure
- Familiarity with big data technologies such as Databricks
- Strong communication skills across technical and non-technical teams
- A proactive and curious mindset with a drive to continuously improve data solutions
Nice to have
- Proactive
- Curious
- Collaborative
- Analytical
Day to day
- Build and maintain robust ETL pipelines that create accessible well-structured datasets in a data lake.
- Ensure data pipelines are reliable monitored and automatically report issues to support stable operations.
- Enable programmatic access to data for data scientists and analytics teams while optimising critical pipeline performance.
