Senior Data Engineer - Analytics Engineering

Company Description

Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new.

Founded in 2011, Depop’s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it.

Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com

We aim 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.

AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human.

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.

Role:

The Analytics Engineering team works across all data domains to support our internal partners in building high-quality, ready-to-use datasets. As a Senior Data Engineer, you'll play a pivotal role in shaping our data landscape, empowering teams across the organization with reliable, high-quality data. You'll contribute to a vibrant data culture, fostering self-service capabilities and driving impactful insights.

Responsibilities:

As a Senior Data Engineer, you can expect to:

• Build and champion central data models that are used in Insights, ML and Search pipelines.

• Design and deliver robust and production ready data pipelines that deliver high-quality data for partner teams, such as insights, finance, ML, and operations.

• Build data models using our data stack, including Databricks, AWS, dbt, Airflow and Looker.

• 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.

• 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.

Qualifications:

• Consistent track record of successful end-to-end delivery of production ready projects; from partnering with business teams, scoping requirements, to implementation and maintenance.

• Experience aligning analytics engineering initiatives to a broader vision and to business objectives.

• Strong stakeholder management and communications, including documentation, planning and delivery management.

• Passionate about sharing knowledge and mentoring less experienced engineers, fostering their growth and skill development.

• Strong programming skills in SQL and Python, with experience in services and platforms like Databricks, Airflow, dbt and Looker.

• Proficient with data engineering best practices, data warehousing and data design, including performance and cost optimisation, observability, governance and monitoring.

• Experience working with and integrating different parts of the data stack.

• You've leveraged BI tools, such as Looker, in a platform engineering capacity, helping to enable data scientists to build data models and self-serve analytics to business consumers.

• Experience developing CI/CD pipelines using Github Actions or Jenkins.

• Experience using Terraform.

• A genuine curiosity about AI and a willingness to explore how it can enhance your day-to-day work

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 of annual leave with the option to carry over up to 5 days
• Impact hours: Up to 2 days of 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-dependent
• All offices are dog-friendly
  

Family Life:

• For birth parent: 20 weeks of paid parental leave for full-time regular employees
• For non-birth parents: 12 weeks of paid parental leave for full-time regular employees 
• IVF leave, shared parental leave, and paid emergency parent/carer leave

Learn + Grow:

• Twice-yearly development chats and yearly performance reviews
• Learning budget
• Upskilling our employees with company-wide training workshops, materials and resources

Your Future:

• Life Insurance (financial compensation of 3x your salary)
• Pension matching up to 6% of full base salary with Aviva

Depop Extras:

• In-office Depop Shop (that’s free!) and a packing station with free delivery.
• Special milestones are celebrated with gifts and rewards!