Senior Data Engineer

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

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

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 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

Depop Extras:

• Employees enjoy free shipping on their Depop sales within the UK.

• Special milestones are celebrated with gifts and rewards!