20 days ago
London, United KingdomMid Level
Responsibilities
- Build, test, and maintain batch and streaming pipelines into QiCore.
- Migrate Rewards data into the warehouse and single customer view while keeping reporting operational.
- Model data for analytics and reporting according to team architecture and governance principles.
- Monitor pipeline health and data quality and resolve issues at their root.
- Support future acquisitions and platform migrations by creating faster, repeatable processes.
Requirements
- Several years of hands-on data engineering experience with production SQL and Python.
- Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform.
- Working knowledge of data governance, testing, and data quality practices.
- Comfort with orchestration, version control, code review, and receiving review.
- Strong quality standards, adaptability, teamwork, and excellent written and verbal English skills.
Benefits
- Private health care through Bupa.
- Hybrid working with three days in the office.
- Travel insurance.
- Competitive base salary and company bonus scheme.
- Paid AI subscription to Claude, ChatGPT, or Gemini.
- Market-leading training programme and recognition and reward scheme.
- Annual company conference, regular happy hours and team lunches, and free coffee, drinks, and snacks.
About Quantum
Quantum builds data storage and data management systems for enterprises handling large unstructured data, combining high-performance file, object, disk, and tape. Its portfolio includes StorNext file system and appliances, ActiveScale object storage, and Scalar tape libraries, sold as hardware, software, and support subscriptions. Founded in 1980 and headquartered in Centennial, Colorado, it serves media and entertainment, video surveillance, research, and government workloads.