Staff Backend Engineer - Data Platform
Staff Backend Engineer - Data Platform
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Job Description
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 out more at
Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome no matter who they are or where theyre 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. Were 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. Were 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.
Role
Were looking for a Staff Backend Engineer Data Platform to be a key technical leader within the teams responsible for Depops data platform. Youll drive the technical vision and implementation for our foundational data platform from experimentation event ingestion pipelines to our data lake governance frameworks and data observability and real-time analytics capabilities.
You will work closely with data scientists machine learning engineers backend teams and product leaders providing deep technical expertise to ensure our data systems are scalable secure observable and enable innovation across the company.
Responsibilities
Partner with stakeholders across Product Data and Engineering to translate strategic goals into well-architected scalable platform capabilities.
Drive the technical design and implementation of core data platform components providing hands-on coding and architectural leadership.
Define and evolve the technical roadmap for Depops modern data platform ensuring reliable and scalable analytics.
Champion engineering excellence setting high technical standards and advocating for best practices in system design maintainability performance and privacy.
Lead efforts in data observability governance and privacy-by-design principles ensuring their robust implementation across the organization.
Mentor and coach engineers elevating the technical capabilities of the team and fostering a culture of technical excellence.
Identify and address complex technical challenges and bottlenecks proposing and implementing effective solutions.
Qualifications
Proven experience as a Staff Engineer or equivalent senior technical leadership role in data infrastructure or platform at scale ideally in a consumer or marketplace environment.
Deep understanding of distributed systems and modern data ecosystems including extensive experience with Databricks Apache Spark Apache Kafka Apache Flink Apache Beam and DBT.
Demonstrated success in designing building and operating data platforms at scale encompassing both batch processing and real-time streaming architectures.
Expertise in data warehousing concepts advanced ETL/ELT processes and analytics engineering best practices.
Exceptional programming skills particularly in Python Scala or Java and deep expertise with cloud platforms (AWS GCP or Azure).
Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks.
A strong technical background with a track record of hands-on architecture and development of complex data systems.
Ability to think strategically and pragmatically: you can define long-term technical strategies and execute rapidly.
Excellent communication and collaboration skills; youre comfortable influencing technical direction and aligning diverse stakeholders across the organization.
Bonus points:
Experience with machine learning infrastructure or ML Ops practices.
Familiarity with event-driven architectures in a mobile-first product environment.
Prior work in fashion marketplaces or sustainability-driven tech.
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!
Required Experience:
Staff IC
Employment Type
Full-Time
