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.
Data is at the heart of what we do.
Depop is looking for a Data Enablement Engineer to help architect build and scale our data platform empowering teams with self-serve capabilities. Youll combine hands-on technical expertise with strategic thinking to shape the foundation that supports our products and customers enabling teams own process query and manage their data with efficiency and ease
You will work closely with people from a wide variety of domains as well as our Insights Analytics Engineers Data Scientists MLOps MarTech and other Data Engineering teams. You will help manage our growing data needs and support increasingly complex business problems by building and promoting self-service tools and data best practices that will be used across the organisation including taking ownership of our data transformation and orchestration tooling; batch and streaming infrastructure and exploration tools (Databricks Airflow dbt) and look after our Datalake (ingestion storage governance privacy).
Youll work with a modern cutting-edge data stack and play a key role in shaping data-as-a-product practices. As we scale to meet Depops bold growth ambitions youll help introduce the next generation of data capabilities.
What Youll Bring
Streaming Knowledge : Experience with Kafka / Flink / Confluent or other streaming ecosystems with a solid understanding of their components
Advanced knowledge in a high-level programming language (e.g. Python Scala) with solid foundation in software engineering best practices - testing clean coding standards code reviews pair programming automation-first mindset
Experience delivering data governance compliance privacy and data quality monitoring solutions ensuring that we uphold data subject rights for our customers
Proven experience designing building and scaling data platforms and backend infrastructure in production environments - have worked to enable advanced data users : ML Engineers analysts analytics engineers and have a strong grasp of their needs and how they operate
Big data technologies with expertise in tools & platforms such as Airflow Kafka Databricks and data observability & catalogue) solutions (e.g. Monte Carlo Atlan Datahub)
A passion for learning new things and keeping on top of the latest developments and technologies in our field. We take pride in our learning and make sure to have dedicated time set aside for our growth and development (we offer personal development time and other platforms to share knowledge with your peers)
Nice To Have
Knowledge of systems design within a modern cloud-based environment
Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table / file formats : Delta Lake Parquet Iceberg Hudi
Experience working with lakehouse / medallion architectures in Databricks
Experience with experimentation support tooling (such as Optimizely)
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!
Key Skills
* Apache Hive
* S3
* Hadoop
* Redshift
* Spark
* AWS
* Apache Pig
* NoSQL
* Big Data
* Data Warehouse
* Kafka
* Scala
Employment Type : Full-Time
Experience : years
Vacancy : 1
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