Senior Engineering Manager Data Platform

Depop

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

Company Description

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 out more at

Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome no matter who they are or where theyre 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. Were 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. Were continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have.

If due to a disability you need adjustments to complete the application please let us know by sending an email with your name the role to which you would like to apply and the type of support you need to complete the application to . For any other non-disability related questions please reach out to our Talent Partners.

Role

Were looking for a customer focused Senior Engineering Manager Data Platform to lead and evolve the teams responsible for Depops modern data platform.

In this role youll help grow our platform capabilities while working with the team to continuously improve how we execute and collaborate.

Youll oversee squads building the systems that power analytics machine learning and product experimentation including our experimentation platform event ingestion pipelines data lake governance frameworks and real-time analytics.

Working closely with Data Science Machine Learning Backend Engineering and Product leadership youll ensure our data platform is scalable reliable and enables fast trustworthy decision-making across the company.

Responsibilities

  • Partner with stakeholders across Product Data and Engineering to translate strategic goals into clear actionable platform capabilities.

  • Lead and mentor 12 squads responsible for experimentation platforms (Optimizely) analytics event logging batch processing real-time infrastructure data observability and governance.

  • Drive strong execution across teams establishing clarity accountability and predictable delivery in a complex data environment.

  • Evolve and scale our real-time streaming platform ensuring it supports reliable low-latency data processing for product analytics and machine learning use cases.

  • Own and evolve Depops experimentation platform (Optimizely) ensuring reliable scalable and statistically sound A/B testing.

  • Define and drive the technical roadmap for the data platform balancing short-term delivery with long-term scalability and maintainability.

  • Champion engineering excellence across performance reliability and privacy-by-design principles.

  • Establish robust data observability and governance practices to improve data quality trust and lineage.

  • Hire mentor and develop high-performing engineers.

Qualifications

  • Proven experience managing data infrastructure or platform teams at scale ideally in a consumer or marketplace environment.

  • Experience working with teams to strengthen delivery practices and overall effectiveness in complex or evolving environments.

  • Experience leading teams through periods of change or transformation including raising engineering standards and accountability.

  • Experience building or owning experimentation platforms (e.g. Optimizely) with a solid understanding of A/B testing and experiment design.

  • Deep understanding of distributed systems and modern data ecosystems (Databricks Apache Spark Kafka DBT).

  • Strong experience with both batch processing and real-time streaming architectures.

  • Deep understanding of data warehousing ETL/ELT pipelines and analytics engineering.

  • Strong programming skills (Python Scala or Java) and experience with cloud platforms (AWS GCP or Azure).

  • Experience working with privacy-sensitive data and implementing strong data governance and observability practices.

  • Strong technical foundation youve built or architected systems hands-on.

  • Track record of building stabilising and scaling high-performing engineering teams.

  • Excellent communication and stakeholder management skills.

Bonus Points

  • Experience with machine learning infrastructure or MLOps practices.

  • Familiarity with event-driven architectures in mobile-first products.

  • Experience in marketplaces fashion or sustainability-driven tech.



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!


Required Experience:

Manager

Company DescriptionDepop 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 ...
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