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- Tasks: Drive impactful data initiatives and build reliable data pipelines for marketing teams.
- Company: Join Depop's innovative AdTech team focused on data-driven marketing solutions.
- Benefits: Enjoy flexible working, health benefits, and generous leave policies.
- Why this job: Shape the future of marketing with high-quality data and cutting-edge tools.
- Qualifications: Experience in SQL, Python, and modern data tools is essential.
- Other info: Collaborative environment with opportunities for professional growth and mentorship.
The predicted salary is between 36000 - 60000 £ per year.
Depop's AdTech team is a product enablement team within Depop that focuses on the backend, infrastructure, and data that primarily support our paid marketing teams. Our goal is to provide a robust, scalable, and efficient foundation for the use of data in marketing services and to act as an accelerator for the paid marketing team's ability to acquire new users and drive GMV for Depop. As a Data Engineer, you'll play a pivotal role in shaping our data roadmap, empowering marketing teams with reliable, high-quality data. You'll also contribute to a vibrant data culture, fostering self-service capabilities and impactful insights.
What you'll do:
- Drive significant impact - Take ownership of highly impactful and complex marketing data initiatives, contribute to the team's long term roadmap, and see projects through to successful delivery.
- Shape our data foundations - Build and maintain central data marketing models that power insights, marketing pipelines, and machine learning applications.
- Deliver reliable pipelines - Design, develop, and run production-ready data pipelines that ensure high-quality, trusted data for marketing and insights teams.
- Work with modern tools - Use our stack to create scalable models and workflows that support decision-making across the business.
What we're looking for:
- Proven delivery skills - You've taken projects from idea to production, partnering with business teams, scoping requirements, and owning solutions end-to-end.
- Strong technical toolkit - You're confident with SQL, Python, and modern data tools (e.g., AWS, Databricks, Airflow, dbt, Looker), and you know how to design scalable, cost-effective, and well-governed pipelines.
- Collaboration & communication - You document clearly, plan effectively, and work closely with other engineers, analysts, and marketers to make data accessible and impactful.
- MarTech & customer data experience - You've worked with event streams, customer journeys, and marketing/advertising platforms and technologies (e.g., Google Ads, Meta CAPI, CDPs and CMPs), with an eye on attribution, privacy, and compliance.
- Engineering mindset - You value CI/CD, observability, and integration across the stack, and you're curious about real-time processing (Kafka, Kinesis, etc.) as a bonus.
Additional information:
- Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidised counselling and coaching with Self Space.
- 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, and fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop.
- Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options.
- 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!
Data Engineer employer: Depop
Contact Detail:
Depop Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those at Depop. Attend meetups or webinars related to data engineering and don’t be shy to slide into DMs on LinkedIn. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and data pipelines. Share it during interviews or even on your LinkedIn profile. It’s a great way to demonstrate your hands-on experience and technical toolkit.
✨Tip Number 3
Prepare for those interviews by brushing up on your collaboration and communication skills. Be ready to discuss how you've worked with teams in the past and how you can make data accessible and impactful. Practice explaining complex concepts in simple terms!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team. So, get that application in and let’s make some data magic happen together!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical toolkit in your application. We want to see your confidence with SQL, Python, and any modern data tools you've used. Don't just list them; give us examples of how you've applied these skills in real projects!
Tell Your Story: When you describe your experience, focus on the journey from idea to production. We love hearing about how you've partnered with teams, scoped requirements, and delivered solutions. Make it personal and engaging – we want to know what drives you!
Be Clear and Concise: Communication is key! Document your experiences clearly and plan your application effectively. Use straightforward language to explain complex concepts, so we can easily understand your thought process and contributions.
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 don’t miss out on any important updates. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at Depop
✨Know Your Data Tools
Make sure you’re well-versed in SQL, Python, and any modern data tools mentioned in the job description, like AWS or Databricks. Be ready to discuss how you've used these tools in past projects, as this will show your technical prowess and ability to deliver results.
✨Showcase Your Project Experience
Prepare to talk about specific projects where you took ownership from start to finish. Highlight how you scoped requirements, collaborated with teams, and delivered solutions. This will demonstrate your proven delivery skills and your understanding of the end-to-end process.
✨Communicate Clearly
Since collaboration is key, practice explaining complex data concepts in simple terms. Be prepared to discuss how you document your work and plan effectively, as clear communication will be crucial when working with engineers, analysts, and marketers.
✨Emphasise Your Marketing Knowledge
Familiarise yourself with marketing technologies and customer data experiences, especially those mentioned like Google Ads or CDPs. Be ready to discuss how you’ve worked with event streams and customer journeys, as this will show your alignment with the role's focus on empowering marketing teams.
