Senior Data Engineer

New Today

Senior Data Engineer

Team: Engineering & Data

Location: Depop - London

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

Life is about creating. That's why we're home to over 30 million artists, stylists, designers, sneakerheads — and you? We're the community-powered, circular-minded marketplace changing the world of online fashion. Now it's time to get inspired at Depop.

Responsibilities

Job description

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 crafting our data landscape, empowering teams across the organization with reliable, high-quality data. You'll contribute to a vibrant data culture, encouraging self-service capabilities and driving impactful insights.

Responsibilities

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

  • Design and deliver robust 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

  • Lead technical initiatives and be responsible for their success.

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

  • Foster growth and capabilities in our junior engineers through mentoring, and support our data consumers in building their own models

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

    • Requirements

  • Consistent track record of successful end-to-end delivery of 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

  • Good stakeholder management and communications, including documentation, planning and delivery management

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

  • Proficient with data engineering methodologies, data warehousing and data design, including performance and cost optimisation, observability and monitoring

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

  • You've used 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

    • Apply
    Location:
    London
    Job Type:
    FullTime

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