Senior Data Platform Engineer
Senior Data Platform Engineer
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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.
Data is at the heart of what we do.
Depop is looking for a Senior Data Platform 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.
Want to find out more about Depop & our engineering team
We write about technology people and smart engineering right here - Youll Do
Pave a path for data as product: Champion data as a first-class citizen by introducing robust data observability and governance tooling into the platform
Software Engineering: Develop microservices libraries data pipelines
Technical Design: implement and evolve platform services that enable teams to work with data efficiently and securely using modern tooling such as Terraform Docker and cloud-native patterns
Lead Technological Initiatives: Lead initiatives working with end users: data scientists ML engineers analytics engineers product engineers and beyond to enable support and accelerate their data needs embracing a platform as product attitude.
Uphold operational excellence: Automating infrastructure and monitoring leading incident response and root cause analysis and continuously improving the health and performance of our data platform. Champion scalable standard processes through automation clear documentation and knowledge sharing via tutorials and training sessions.
Stakeholder Collaboration: Work closely with both technical and non-technical stakeholders to define design and implement solutions within our Data Platform. Trusted relationship will be key for success
Invest in others growth: Mentoring and sharing knowledge helping elevate technical standards and fostering a culture of continuous improvement.
Build on engineering culture You take an active role in improving the engineering culture at Depop and encourage others around you to follow these values
What Youll Bring
Advanced knowledge in a high-level programming language (e.g. Python Scala) with proven foundation in software engineering best practices - testing clean coding standards code reviews pair programming automation-first mindset
Experience delivering data compliance & privacy solutions ensuring that we uphold data subject rights for our customers
Experience introducing a data governance & observability stack enabling rich data lineage data contracts SLA/SLO tagging and data quality monitoring capabilities both on our own platform but also for data owners
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 dbt Kafka Databricks and data observability & catalogue) solutions (e.g. Monte Carlo Atlan Datahub)
Cloud Platform Proficiency: Familiarity with AWS GCP or Microsoft Azure with hands-on experience building scalable reliable data solutions on cloud platforms
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 (AWS GCP) including AWS primitives such as IAM S3 RDS EMR ECS and more
Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake Parquet Iceberg Hudi
Previous hands-on expertise with Spark
Experience working with containerisation technologies - Docker Kubernetes
Streaming Knowledge: Experience with Kafka/Flink or other streaming ecosystems with a solid understanding of their components
DevOps experience building CI/CD pipelines (Jenkins) IaC (Terraform)
Direct experience contributing to projects involvinglakehouse / medallion architectures in Databricks
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:
Senior IC
Employment Type
Full-Time
