1 day ago
London, United KingdomSenior
Responsibilities
- Build, test, and maintain batch and streaming pipelines into QiCore.
- Migrate Rewards data into the warehouse and single customer view while maintaining reporting continuity.
- Model data for analytics and reporting according to team architecture and governance principles.
- Monitor pipeline health and data quality, resolving issues at their root cause.
- Support future acquisitions and platform migrations by creating faster, repeatable processes.
- Participate in orchestration, version control, code review, and peer review.
Requirements
- Several years of hands-on data engineering experience.
- Production experience writing SQL and Python.
- Experience building ETL or ELT pipelines on a modern cloud warehouse or big data platform.
- Proven experience with GCP and the Google ecosystem, including BigQuery, Pub/Sub, Dataproc, or Cloud Storage.
- Working knowledge of data governance, testing, and data-quality practices.
- Comfort with orchestration, version control, and collaborative review processes.
- Excellent written and verbal English skills.
Benefits
- Private health care through Vitality.
- Hybrid working with three days in the office.
- Travel insurance.
- Competitive base salary and company bonus scheme.
- Paid AI subscription for Claude, ChatGPT, or Gemini.
- Market-leading training programme.
- Recognition and reward scheme.
- Annual company conference, regular happy hours, team lunches, and free coffee, drinks, and snacks.
Tech Stack
Categories
Data Engineering
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.