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London, UK, United Kingdom
Hybrid
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.
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.
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.
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.
Additional Information
Health + Mental Wellbeing
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