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Depop

Senior Data Engineer

Depop

Senior Data Engineer improving data quality, observability, and governance for Depop’s data ecosystem. Leading initiatives in data reliability, compliance, and collaboration across teams.

Posted 4/18/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies
AirflowJavaKafkaPythonSpark

About the role

Key responsibilities & impact
  • Define and execute the vision for Depop’s data quality, observability, and governance frameworks.
  • Establish data contracts between producers and consumers to ensure schema integrity and data reliability.
  • Develop and maintain systems that detect, alert, and resolve data quality issues with minimal latency.
  • Build automation and tooling to reduce MTTD (Mean Time to Detection) and MTTR (Mean Time to Resolution) for data incidents.
  • Partner with data platform engineers to integrate observability at every layer - ingestion, transformation, and consumption.
  • Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets.
  • Define standards for metadata management, lineage tracking, and access control.
  • Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains.
  • Mentor engineers and analysts, fostering a culture of data stewardship and accountability.
  • Continuously improve data governance maturity through automation, documentation, and measurable quality KPIs.

Requirements

What you’ll need
  • 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 data validation tools (Great Expectations, etc.).
  • Deep 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, and experience building pipelines with Airflow, Spark, or Kafka.
  • Strong understanding of data governance principles, privacy regulations (such as the GDPR, CCPA), and secure data handling practices.
  • Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.).
  • Demonstrated success improving data reliability and observability in large-scale data platforms.
  • Excellent communication and stakeholder management skills; you can bridge technical depth with operational impact.

Benefits

Comp & perks
  • Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa
  • Subsidised counselling and coaching with Self Space
  • Cycle to Work scheme with options from Evans or the Green Commute Initiative
  • Employee Assistance Programme (EAP) for 24/7 confidential support
  • Mental Health First Aiders across the business for support and signposting
  • Work/Life Balance: 25 days annual leave with option to carry over up to 5 days
  • 1 company-wide day off per quarter
  • Impact hours: Up to 2 days additional paid leave per year for volunteering
  • Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.
  • Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant
  • All offices are dog-friendly
  • Ability to work abroad for 4 weeks per year in UK tax treaty countries
  • Family Life: 18 weeks of paid parental leave for full-time regular employees
  • IVF leave, shared parental leave, and paid emergency parent/carer leave
  • Learn + Grow: Budgets for conferences, learning subscriptions, and more
  • Mentorship and programmes to upskill employees
  • Your Future: Life Insurance (financial compensation of 3x your salary)
  • Pension matching up to 6% of qualifying earnings
  • Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

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Hard Skills & Tools
data qualitydata observabilitydata governancedata contractsdata validationPythonJavaAirflowSparkKafka
Soft Skills
communicationstakeholder managementmentoringcollaborationleadership