Staff Data Engineer – Data Quality & Governance in London

Staff Data Engineer – Data Quality & Governance in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Dormont Manufacturing Co

At a Glance

  • Tasks: Lead the design of data quality frameworks and ensure compliance across Depop's data ecosystem.
  • Company: Join Depop, a vibrant community-driven fashion marketplace with over 35 million users.
  • Benefits: Enjoy flexible working, generous leave, health support, and opportunities for professional growth.
  • Other info: Be part of a dynamic team that values innovation and collaboration.
  • Why this job: Make a real impact on data governance while working in a diverse and inclusive environment.
  • Qualifications: Experience in data engineering and strong knowledge of data observability and governance principles.

The predicted salary is between 80000 - 100000 £ per year.

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.

Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.

Role: We’re building a Data Quality, Observability & Governance Team to improve the reliability, trust, and compliance of Depop’s data ecosystem. As a Staff Data Engineer in this team, you’ll lead the design and implementation of frameworks, tools, and processes that strengthen our data foundations - ensuring our data is accurate, observable, and compliant. Your mission will be to reduce the mean time to detection and resolution of data incidents, by establishing data contracts between producers and consumers, developing robust data observability systems, and embedding governance and GDPR compliance principles across the data lifecycle. You’ll collaborate with product engineering, data platform, analytics, and legal teams to build confidence in data as a product - one that’s reliable, auditable, and actionable.

Responsibilities:

  • 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.

Qualifications:

  • Proven experience as a Staff 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, DBT tests, etc.).
  • Deep understanding of data-as-a-product 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, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka.
  • Strong understanding of data governance principles, privacy regulations (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.

Bonus Points:

  • Experience implementing automated compliance monitoring or policy-as-code systems.
  • Familiarity with real-time anomaly detection for data pipelines.
  • Experience contributing to or leading cross-functional data reliability initiatives.
  • Prior experience in consumer or marketplace platforms.
  • Passion for data as a product - building reliable, observable, and compliant data systems that teams love to use.

Additional Information:

  • 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!

Staff Data Engineer – Data Quality & Governance in London employer: Dormont Manufacturing Co

Depop is an exceptional employer that champions a diverse and inclusive work environment, reflecting the vibrant communities we serve. With a strong focus on employee well-being, we offer generous benefits such as flexible working options, extensive parental leave, and opportunities for professional growth through mentorship and learning budgets. Our commitment to making fashion circular is matched by our dedication to fostering a culture of innovation and collaboration, making Depop a rewarding place to build a meaningful career in the heart of London.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Data Engineer – Data Quality & Governance in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Depop or similar companies. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you’ve got a portfolio or projects that highlight your data engineering prowess, make sure to share them during interviews. It’s a great way to demonstrate your expertise beyond just words.

Tip Number 3

Prepare for the technical grill! Brush up on your data observability frameworks and be ready to discuss how you've tackled data quality issues in the past. Confidence in your knowledge will impress the interviewers.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Depop community.

We think you need these skills to ace Staff Data Engineer – Data Quality & Governance in London

Data Quality Frameworks
Data Observability
Data Governance
GDPR Compliance
Data Contracts
Data Validation Tools
Python

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Staff Data Engineer role. Highlight your experience with data quality, observability, and governance, and show us how your skills align with our mission at Depop.

Showcase Your Technical Skills:We want to see your technical prowess! Be sure to mention your proficiency in Python, Java, or Scala, and any experience you have with data observability frameworks. This is your chance to shine!

Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Dormont Manufacturing Co

Know Your Data Inside Out

Before the interview, dive deep into data quality, observability, and governance principles. Familiarise yourself with frameworks like Monte Carlo or Soda, and tools such as Great Expectations. Being able to discuss these in detail will show your expertise and passion for the role.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled data quality issues in the past. Discuss specific incidents where you reduced mean time to detection or resolution. This will demonstrate your ability to handle real-world challenges and your proactive approach to data governance.

Understand Depop's Mission

Research Depop’s commitment to circular fashion and inclusivity. Be ready to explain how your values align with theirs and how you can contribute to their mission. This shows that you're not just interested in the job, but also in being part of their community.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, current data challenges, and future projects at Depop. This not only shows your interest in the role but also helps you gauge if the company culture is the right fit for you.