Role
We’re hiring a Data Engineer to work on the Data Platform at Depop. This team owns Kafka and streaming infrastructure, the bronze data lake layer, and event tracking and sessionisation and is building out the next generation of streaming frameworks that will underpin how the rest of the business ingests and processes data.
This role sits within the Data Enablement and you’ll partner closely with Data Infrastructure and Analytics Engineering on the boundary between Bronze and Silver, and with ML and Insights, who depend on low-latency streaming data for features and experimentation.
Responsibilities
- Build and maintain services in our Kafka Connect and streaming pipeline, including the kafka-forwarder and changelogs-processor, under the guidance of senior engineers.
- Contribute to extending the bronze streaming layer across Depop’s growing table catalogue, working from well-scoped tickets through to production rollout.
- Help implement data contracts and freshness checks on streaming datasets, and build the quarantine/alerting that keeps bad data out of downstream consumers.
- Take part in the team’s support rota, helping other teams onboard new events and troubleshoot streaming issues.
- Write clear documentation and contribute to design discussions, growing your judgement on trade-offs like latency vs completeness and cost vs freshness.
- Pair with senior engineers on more complex pieces of the streaming framework work, building towards owning larger pieces of it yourself.
Requirements
- Some experience building and operating production data pipelines, ideally including Kafka or another streaming/event-driven system.
- Working knowledge of at least one of Scala, Kotlin or Python, and willingness to work across all three as the team requires.
- Familiarity with data warehousing concepts (e.g. medallion architecture bronze/silver/gold) and an interest in data quality and freshness monitoring.
- Comfortable working with Kafka Connect, schema registries, and distributed systems concepts, or keen to build that experience quickly.
- A collaborative approach – this team works closely with Data Infrastructure, ML and Insights, and pairs regularly with senior engineers.
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 of annual leave with the option to carry over up to 5 days Impact hours: Up to 2 days of 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-dependent All offices are dog-friendly Family Life: For birth parent: 20 weeks of paid parental leave for full-time regular employees For non-birth parents: 12 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Twice-yearly development chats and yearly performance reviews Learning budget Upskilling our employees with company-wide training workshops, materials and resources Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of full base salary with Aviva Depop Extras: In-office Depop Shop (that’s free!) and a packing station with free delivery. Special milestones are celebrated with gifts and rewards!
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