Loop Recruitment
Senior Data Engineer
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Senior Data Engineer | Data Platform | Python | Databricks
Location: UK Remote
Salary: Up to £100,000 + 10% Bonus + Equity
Skills Required:
- Python
- Data Contracts
- Data Observability
- GDPR
- Airflow
- Kafka
- Spark
- DataHub
I'm currently looking for a Senior Data Engineer to join a global consumer technology marketplace used by millions of customers around the world.
This is an opportunity to join a business that's investing heavily in the reliability, trust, and compliance of its data ecosystem, embedding governance and observability at the heart of how data is built, shared, and consumed across the organization.
You'll lead the design and implementation of frameworks, tools, and processes that strengthen the data foundations - reducing time to detect and resolve data incidents, establishing data contracts between producers and consumers, and driving privacy-by-design across the data lifecycle. If you're passionate about treating data as a product and want to make governance a genuine enabler rather than a blocker, this is a fantastic opportunity.
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ROLE: Senior Data Engineer (Data Quality | Observability | Governance | Compliance)
We're looking for an experienced Data Engineer who enjoys building the frameworks, tooling, and culture that underpin trustworthy, well-governed data at scale.
This is a hands-on senior role where you'll champion the vision for data quality, observability, and governance, working closely with Product Engineering, Data Platform, Analytics, and Legal teams to build confidence in data as a reliable, auditable, and actionable product.
You'll establish data contracts, build automation to reduce MTTD and MTTR for data incidents, lead GDPR and privacy-by-design initiatives, and define standards for metadata management, lineage tracking, and access control - while mentoring engineers and analysts along the way.
What You'll Bring
- Proven experience as a Senior Data Engineer or in an equivalent technical leadership role in data quality, observability, or governance.
- Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and validation tools such as Great Expectations.
- Strong understanding of Data Products principles and experience applying them to improve data reliability and ownership.
- Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems.
- Proficiency in Python or Java, with experience building pipelines using Airflow, Spark, or Kafka.
- Solid grounding in data governance principles and privacy regulations such as GDPR and CCPA, with secure data handling practices.
- Familiarity with metadata management and data catalog tools (e.g., DataHub, Collibra).
- Excellent communication and stakeholder management skills, bridging technical depth with operational impact.
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Nice to Have
- Experience implementing automated compliance monitoring or policy-as-code systems.
- Familiarity with real-time anomaly detection for data pipelines.
- Experience leading cross-functional data reliability initiatives.
Apply now to help build the data platform powering one of the world's leading consumer technology businesses, working on modern technologies alongside exceptional engineering teams.
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