Data Enablement Engineer

Depop; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading fashion marketplace in London is seeking a Data Enablement Engineer to design and scale their data platform. This role involves collaborating with various teams to ensure data accessibility and governance. The ideal candidate will have experience with streaming technologies, programming, and a passion for data. Join us in shaping the future of fashion through data innovation.

Benefits

Personal development time

Continuous learning opportunities

Qualifications

• Experience with Kafka / Flink / Confluent or other streaming ecosystems.
• Solid foundation in software engineering best practices.
• Designing, building, and scaling data platforms.
• Knowledge of data quality monitoring solutions.
• Advanced experience with Delta Lake, Parquet, or similar formats.

Responsibilities

• Architect and manage a modern data platform.
• Develop microservices and data pipelines.
• Champion data observability and governance.
• Work closely with technical and non-technical stakeholders.
• Lead initiatives to empower data users.

Skills

Streaming Knowledge

Advanced programming in Python or Scala

Data governance compliance

Experience with big data technologies

Passion for learning new technologies

Tools

Kafka

Airflow

Databricks

Terraform

Job description

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 Etsy. Find out more at www.depop.com Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re 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. We’re 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. We’re 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.

Life is about creating. That's why we're home to over 30 million artists, stylists, designers, sneakerheads — and you? We're the community-powered, circular-minded marketplace changing the world of online fashion. Now it's time to get inspired at Depop.

Team & Location

Team : Engineering & Data

Location : Depop - London

Responsibilities

Data is at the heart of what we do.

Depop is looking for a Data Enablement 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, MarTech 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 - 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 Kafka, 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 mindset.

Uphold operational excellence : building scalable services, leading incident response and root cause analysis, and continuously improving the health and performance of our data platform. Champion scalable best practices 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.

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

• Streaming Knowledge : Experience with Kafka / Flink / Confluent or other streaming ecosystems, with a solid understanding of their components
• Advanced knowledge in a high‑level programming language (e.g. Python, Scala) with solid foundation in software engineering best practices - testing, clean coding standards, code reviews, pair programming, automation‑first mindset
• Experience delivering data governancecompliance, privacy and data quality monitoring solutions, ensuring that we uphold data subject rights for our customers
• 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, Kafka, Databricks and data observability & catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub)
• A passion for learning new things and keeping on top of the latest developments and technologies in our field. We take pride in our learning and make sure to have dedicated time set aside for our growth and development (we offer personal development time and other platforms to share knowledge with your peers)

Nice To Have

• Knowledge of systems design within a modern cloud‑based environment
• 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
• Experience with experimentation support tooling (such as Optimizely)