Overview

Join to apply for the Senior Data Enablement Engineer role at Depop

Depop is a community-powered circular fashion marketplace with over 35 million users, headquartered in London with offices in New York and Manchester. Depop became a wholly-owned subsidiary of Etsy in 2021. Learn more at www.depop.com. Depop is an equal opportunity employer that values diversity and inclusion; we provide 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 are open to accommodating needs during the recruitment process.

What You’ll Do

• Pave a path for data as a 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 to enable teams to work with data efficiently and securely, using modern tooling such as Kafka, Terraform, Docker, and cloud-native patterns
• Lead Technological Initiatives: lead initiatives with end users (data scientists, ML engineers, analytics engineers, product engineers and beyond) to enable, support and accelerate data needs, embracing a platform-as-product mindset
• Uphold operational excellence: build scalable services, lead incident response and root cause analysis, and continuously improve health and performance of the data platform; promote scalable best practices through automation and documentation
• Stakeholder Collaboration: work with technical and non-technical stakeholders to design and implement Data Platform solutions; build trusted relationships
• Invest in others’ growth: mentor and share knowledge to elevate technical standards
• Build on engineering culture: actively contribute to improving the engineering culture at Depop

What You’ll Bring

• Streaming Knowledge: experience with Kafka/Flink/Confluent or other streaming ecosystems
• Advanced programming: Python or Scala with solid software engineering practices
• Experience delivering data compliance and privacy solutions
• Experience building data governance and observability stacks with data lineage, contracts, SLA/SLO, tagging and data quality monitoring
• Proven experience designing, building, and scaling data platforms and backend infrastructure for advanced data users
• Big data technologies: Airflow, dbt, Kafka, Databricks and data observability/catalog solutions (e.g., Monte Carlo, Atlan, Datahub)
• Cloud platform proficiency: AWS, GCP, or Azure with hands-on data solutions experience
• Desire to learn new technologies; dedicated time for growth and development

Nice To Have

• Knowledge of systems design in a modern cloud-based environment
• Experience with Delta Lake, Parquet, Iceberg, or Hudi formats
• Experience with lakehouse/medallion architectures in Databricks
• Experience with experimentation tooling (e.g., Optimizely)

Additional Information

• Health + Mental Wellbeing: healthcare with Bupa, counselling/coaching subsidies, EAP, etc.
• Work/Life Balance: 25 days annual leave, quarterly company-wide day off, volunteering leave, sabbatical after 5 years, hybrid options, dog-friendly offices, ability to work abroad up to 4 weeks/year
• Family Life: 18 weeks paid parental leave, IVF leave, shared parental leave, and paid emergency parent/carer leave
• Learn + Grow: budgets for conferences and learning subscriptions; mentorship programs
• Your Future: life insurance (3x salary), pension matching up to 6%
• Depop Extras: free shipping on Depop sales within the UK; celebrations with gifts and rewards

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Software Development

Referrals increase your chances of interviewing at Depop. Get notified about new Senior Data Engineer jobs in London, England, United Kingdom.