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Depop

Data Enablement Engineer

Reposted 13 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England
Mid level
In-Office
London, Greater London, England
Mid level
As a Data Enablement Engineer at Depop, you'll architect and scale data platforms, develop microservices, and enhance product capabilities while collaborating across various teams.
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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 [email protected]. 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. 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 Kafka, 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 mindset.

  • Uphold operational excellence: building scalable services, leading incident response and root cause analysis, and continuously improving the health and performance of our data platform. Champion scalable best practices 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

  • 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

  • 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!

Top Skills

Airflow
Confluent
Databricks
Docker
Flink
Kafka
Python
Scala
Terraform
HQ

Depop London, England Office

20 Farringdon Road, London, United Kingdom, EC1M 3HE

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