Data Engineer
Indexed description
This is an exciting opportunity to work on impactful projects that unify insights across data processing, lineage, and infrastructure, providing a comprehensive operational health view of data pipelines.
About The Role
As a key member of our Analytics & Data Engineering Knowledge team, you will define and develop narratives and metrics, build data aggregations, and design schemas to support both backend processes and user interfaces. Your work will help generate meaningful insights and enhance our client's data infrastructure across the entire Services division.
Responsibilities
- Develop and optimise data pipelines and schemas to support analytics and UI needs
- Define metrics and narratives that drive data-driven decision-making
- Collaborate on platform solutions, AI initiatives, and data quality improvements
- Support and enhance data infrastructure, ensuring data lineage and processing are robust and scalable
- Bachelor’s degree in a scientific field
- 4+ years of industry experience in a Data Engineering role
- Strong background with Superset, Data Engineering platforms, and data solutions
- Experience with big data concepts and technologies
- Proficiency in Python
- Familiarity with Iceberg, Spark jobs, and platform solutions
- Knowledge of data quality practices and AI integration is desirable
- Java is a plus
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
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