Overview
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. Depop is headquartered in London, with offices in New York and Manchester. We’re an equal opportunity employer committed to diversity and inclusion.
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 adjustments@depop.com.
Role
Senior Engineering Manager – Data Platform to lead and evolve the teams responsible for Depop’s modern data platform. You’ll help grow platform capabilities and improve how we execute and collaborate. You’ll oversee squads building systems that power analytics, machine learning, and product experimentation — including our experimentation platform, event ingestion pipelines, data lake, governance frameworks, and real-time analytics. You’ll work with Data Science, Machine Learning, Backend Engineering, and Product leadership to 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 1–2 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 the real-time streaming platform to support reliable, low-latency data processing for product, analytics, and ML use cases.
* Own and evolve Depop’s 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 strengthening 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 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.
* Hands-on technical foundation — you’ve built or architected systems.
* 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: healthcare access with Bupa, counselling and coaching, EAP, and mental health support.
* Work/Life Balance: 25 days annual leave (carryover up to 5 days), quarterly company-wide day off, volunteering time, sabbatical after 5 years, flexible hybrid options, dog-friendly offices, and international work flexibility.
* Family Life: paid parental leave, IVF leave, shared parental leave, and paid emergency parent/carer leave.
* Learn + Grow: budgets for conferences and learning, mentorship programs to upskill employees.
* Your Future: Life Insurance (3x salary), pension matching up to 6% of qualifying earnings.
* Depop Extras: free shipping on Depop sales within the UK for employees; milestone gifts and rewards.
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