Senior Data Platform Engineer

Depop - London, United Kingdom

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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.

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. You’ll 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).
 

You’ll 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 Depop’s bold growth ambitions, you’ll 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 - https://engineering.depop.com/
 

What You’ll 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 You’ll 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 involving lakehouse / 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!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Azure Big Data CI/CD Databricks Data governance Data pipelines Data quality dbt DevOps Docker ECS Engineering Flink GCP Jenkins Kafka Kubernetes Machine Learning Microservices MLOps Monte Carlo Parquet Pipelines Privacy Python Scala Spark Streaming Terraform Testing

Perks/benefits: Career development Conferences Equity / stock options Flex hours Flex vacation Insurance Paid sabbatical Parental leave Pet friendly Startup environment

Region: Europe
Country: United Kingdom

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