[Hiring] Senior Data Platform Engineer @Depop

Role Description

Depop is looking for a Senior Data Platform Engineer to help architect, build, and scale our data platform, empowering teams with self-serve capabilities. You’ll combine hands-on technical expertise with strategic thinking to shape the foundation that supports our products and customers, enabling teams to own, process, query, discover and manage their data with efficiency and ease.

You will work closely with people from a wide variety of domains, as well as our ML, MLOps, Analytics Engineering, Data Science, Insights, MarTech, Platform and other engineering teams. You will help manage our growing data needs and support increasingly complex business problems by building and promoting self-service tools and data best practices that will be used across the organisation, including taking ownership of our data transformation and orchestration tooling; batch and streaming infrastructure and exploration tools (Databricks, Airflow, dbt) and look after our Datalake (ingestion, storage, governance, privacy).

You’ll work with a modern, cutting-edge data stack and play a key role in shaping data-as-a-product practices. As we scale to meet Depop’s bold growth ambitions, you’ll help introduce the next generation of data capabilities.

What You’ll Do

• Pave a path for data as a product: Champion data as a first-class citizen by introducing robust data capabilities, observability and governance into the platform to enable decision making and ultimately better experience for Depop’s end users.
• Software Engineering: Develop microservices, libraries, platforms and tools.
• Technical Design: Architect and evolve platform services that enable teams to work with data efficiently and securely at scale.
• Lead Technological Initiatives: Lead large, complex initiatives that will further enable our data users by setting the vision and roadmap, gathering requirements and defining the scope and success metrics for your initiative all while embracing a platform as a product approach.
• Uphold Operational Excellence: Automate infrastructure and monitoring, lead incident response and root cause analysis, and continuously improve the health and performance of our data platform. Champion scalable standard processes through automation, clear documentation, and knowledge sharing via tutorials and training sessions.
• Stakeholder Collaboration: Establish trusted relationships with both technical and non-technical stakeholders to define, design, and implement solutions within our data platform. Contribute to group and peer-level initiatives to improve our data platform as a whole.
• Invest in others’ growth: Mentor and share knowledge, helping elevate technical standards and fostering a culture of continuous improvement.
• Build on our Engineering Culture: Take an active role in improving the engineering culture at Depop and encourage others around you to follow these values.

Qualifications

• Advanced knowledge in a high-level programming language (e.g. Python, Scala) with proven foundation in software engineering best practices - testing, clean coding standards, code reviews, pair programming, automation-first mindset.
• Proven hands-on experience designing, building, and scaling complex data systems and backend infrastructure in production environments within a modern cloud-based environment (AWS, GCP, Azure).
• Ability to think strategically and pragmatically: you can define long-term technical strategies and execute rapidly.
• Excellent communication and collaboration skills; comfortable influencing technical direction and aligning diverse stakeholders across the organisation - ML engineers, analysts, analytics engineers, Product, Marketing and leadership.
• Expertise in managing and integrating data orchestration and processing tools & platforms such as Databricks, Airflow, dbt, Kafka or similar.
• Experience with agentic coding tools (Claude Code, Cursor etc).
• A passion for learning new things and keeping on top of the latest developments and technologies in our field.

Nice To Have

• DevOps experience building CI/CD pipelines (Jenkins, GitHub Actions), IaC (Terraform).
• Experience working with containerisation technologies - Docker, Kubernetes.
• Previous hands-on expertise with Spark.
• Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi.
• Experience working with lakehouse / medallion architectures in Databricks.
• Streaming Knowledge: Experience with Kafka/Flink/Confluent or other streaming ecosystems, with a solid understanding of their components.
• Experience working with data governance, observability and catalogue solutions (e.g. Monte Carlo, Atlan, Datahub).

Benefits

• Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidised counselling and coaching with Self Space, Cycle to Work scheme, 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.
• Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options, 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!