Senior Data Engineer

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 [email protected]. For any other non-disability related questions, please reach out to our Talent Partners.

We’re hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You’ll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You’ll also help enable data scientists and ML engineers to build and deploy models on reliable infrastructure.

This role will be embedded in the Analytics Engineering team, which works across all data domains and supports data scientists, ML scientists and internal stakeholders on core datasets and key reporting.

As a Senior Data Engineer, you can expect to:

• Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users.

• Design and manage data ingestion and orchestration using Fivetran at scale

• Contribute to the team’s vision and roadmap, and lead technically complex initiatives and be responsible for their success.

• Enhance our engineering efficiency by developing our internal tooling, CI/CD practices, and alerts/logging.

• Contribute to group initiatives or peer-level initiatives to improve the data platform.

• Foster growth and capabilities in our less experienced engineers through coaching, and support our data consumers in building their own models.

• Cultivate a collaborative data culture that empowers self-serve data and model creation.

• A track record of building and operating production data pipelines, including working with stakeholders to define requirements and SLAs.

• A strong experience using batch orchestration tools like Airflow and DBT.

• A strong of data warehousing patterns (e.g. lakehouse and medallion), performance optimisation (Spark/Delta), and data quality monitoring.

• Technical authoring and architecture design experience.

• Lead initiatives to build and deploy data products to support data scientists, engineers and agentic analysts.

• Experience with cloud data warehousing (Databricks preferred), IaC and Astronomer/Airflow.

• Mentor and support junior engineers and partner with data scientists on data engineering projects.

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 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 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 dependant

• 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!