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Senior Data Platform Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: DEPOP
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Engineer
Job Description & How to Apply Below
Location: Greater London

Data is at the heart of what we do.

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 own, process, query, and manage their data with efficiency and ease.

You will work closely with people from a wide variety of domains, as well as our Insights, Analytics Engineers, Data Scientists, MLOps, Mar Tech and other Data 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.

Want to find out more about Depop & our engineering team?

We write about technology, people and smart engineering right here -

What You’ll Do
  • Pave a path for data as product:
    Champion data as a first‑class citizen by introducing robust data observability and governance tooling into the platform
  • Software Engineering:
    Develop microservices, libraries, data pipelines
  • Technical Design: implement, and evolve platform services that enable teams to work with data efficiently and securely, using modern tooling such as Terraform, Docker, and cloud‑native patterns
  • Lead Technological Initiatives:
    Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product attitude.
  • Uphold operational excellence:
    Automating infrastructure and monitoring, leading incident response and root cause analysis, and continuously improving 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:

    Work closely with both technical and non‑technical stakeholders to define, design, and implement solutions within our Data Platform. Trusted relationship will be key for success
  • Invest in others' growth:
    Mentoring and sharing knowledge, helping elevate technical standards and fostering a culture of continuous improvement.
  • Build on engineering culture You take an active role in improving the engineering culture at Depop and encourage others around you to follow these values
What You’ll Bring
  • 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
  • Experience delivering data compliance & privacy solutions ensuring that we uphold data subject rights for our customers
  • Experience introducing a data governance & observability stack enabling rich data lineage, data contracts, SLA/SLO, tagging and data quality monitoring capabilities both on our own platform but also for data owners
  • Proven experience designing, building, and scaling data platforms and backend infrastructure in production environments - have worked to enable advanced data users: ML Engineers, analysts, analytics engineers and have a strong grasp of their needs and how they operate
  • Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability & catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub)
  • Cloud Platform Proficiency:
    Familiarity with AWS, GCP, or Microsoft Azure, with hands‑on experience building scalable, reliable data solutions on cloud platforms
  • A passion for learning new things and keeping on top of the latest developments and…
Position Requirements
10+ Years work experience
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