At a Glance
- Tasks: Build and maintain data pipelines, support data scientists, and enhance engineering efficiency.
- Company: Join Depop, a vibrant community-driven fashion marketplace with over 35 million users.
- Benefits: Enjoy flexible working, generous leave, and health support including mental health resources.
- Other info: Be part of a diverse team that values innovation and inclusivity.
- Why this job: Make a real impact in circular fashion while developing your skills in a collaborative environment.
- Qualifications: Experience in data engineering, orchestration tools, and mentoring junior engineers.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners.
Role
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.
Responsibilities
- 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.
Requirements
- 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 understanding 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
- 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.
- Employees enjoy free shipping on their Depop sales within the UK.
- Special milestones are celebrated with gifts and rewards!
Senior Data Engineer employer: Dormont Manufacturing Co
Depop is an exceptional employer that champions a diverse and inclusive work environment, reflecting the vibrant communities we serve. As a Senior Data Engineer, you'll benefit from a flexible working model, generous leave policies including a fully paid sabbatical after five years, and ample opportunities for professional growth through mentorship and learning budgets. Our London office fosters a collaborative culture where innovation thrives, making it a rewarding place to contribute to our mission of making fashion circular.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Depop on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about your experience with Airflow, dbt, and data warehousing patterns. We want to see your passion for data engineering shine through!
✨Tip Number 3
Show off your collaborative spirit! Be ready to discuss how you've worked with data scientists and other stakeholders in the past. At Depop, we value teamwork and want to know how you can contribute to our inclusive culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Depop community.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Airflow, dbt, and data warehousing patterns. We want to see how your skills align with our mission at Depop!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for circular fashion and how your background can contribute to our inclusive environment. Let us know why you’re excited about joining the Depop team.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines, orchestration tools, or any mentoring experiences. We love seeing real examples of your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Data Tools
Make sure you brush up on your experience with Airflow, dbt, and Fivetran. Be ready to discuss specific projects where you've built or maintained data pipelines, as this will show your hands-on expertise and understanding of the tools that Depop uses.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about times when you had to define requirements with stakeholders or optimise performance. This will demonstrate your ability to lead initiatives and contribute to the team’s vision.
✨Emphasise Collaboration
Depop values a collaborative culture, so be ready to talk about how you've worked with data scientists and junior engineers. Highlight any mentoring experiences you have, as well as how you've fostered a supportive environment for self-serve data creation.
✨Align with Depop's Mission
Familiarise yourself with Depop's mission to make fashion circular and create an inclusive environment. Be prepared to discuss how your values align with theirs and how you can contribute to their goals, especially in terms of innovation and diversity.
