Associate Data Platform Engineer

Depop • Full-time • London, GB • 1d ago

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.

We are looking for a Data Platform Engineer to join our Data Infrastructure team, and help us build our data platform for analytics, machine learning, marketing and much more.

You will work closely with people from a wide variety of domains within Depop, as well as our Insights, Analytics Engineers, Data Scientists, MLOps, MarTech and other Data Engineering teams. You will help manage our growing information 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 and batch infrastructure and exploration tools (Databricks, Airflow, dbt) and look after our Datalake (ingestion, storage, governance, privacy).

We’re building scalable and robust systems to harvest, process and analyse the vast data within our tech ecosystem. With an increasing demand to service other areas of the business, and ultimately our users, you’ll be at the forefront of pioneering Data-as-a-Service.

Want to find out more about Depop & our engineering team?

We write about technology, people and smart engineering right here - https://engineering.depop.com/

Responsibilities

As a Data Platform Engineer within this team, you can expect to:

Play an integral role in owning initiatives for our Data Platform - working closely with our data scientists, analysts, analytics engineers and other engineers to support their deployment speed and productivity needs with self-serve data transformation and processing tools (dbt, Databricks, Airflow).
Successful end-to-end delivery of your team’s projects; from scoping and translating business requirements into plans, to design, implementation and maintenance, whilst coordinating with other teams (technical and non-technical users).
Proactively identify ways to improve data processes, discovery and ownership, navigating complex challenges as our data grows and becomes an integral piece of our business and product operations.
Embrace agile methodologies
Engage in a culture of continuous improvement by attending events such as blameless post-mortems, architecture reviews etc.
Engage in health and performance improvements of our data platform and work towards promoting company-wide best practices to allow for their scalable growth by striving for automation, writing clear documentation, tutorials and hosting training sessions.
Hold high standards for operational excellence; from running your own services to testing, monitoring, maintenance and reacting to production issues.
Adding to a strong engineering culture, orientated on technical innovation, and professional development.

Requirements

A strong sense of ownership, autonomy and a highly organised nature.
Excellent written and spoken English communication skills
Comfortable working in a fast-paced environment and able to respond to change or uncertainty with a positive attitude and a willingness to learn.
Familiarity with a high-level programming language (e.g. Python, Scala).
You have had some experience using version control such as Git, or similar.
Passionate about working on a self-service data platform and playing an integral role in designing and creating tools to increase user productivity and velocity across our data organisation.
You have 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!).

What You’ll Learn

Manage the infrastructure and integrate workflow management and data processing tools such as Airflow, Databricks, dbt or similar.
Become an expert in managing datalake ingestion platforms, focusing on optimising and monitoring the ingestion flows, compute, storage, governance, privacy and more.
You’ll upskill in the data domain - working closely to enable advanced data users; data scientists, analysts or analytics engineers and have a good grasp of their needs and how they operate.
Python/Scala
DevOps methodologies - building CI/CD pipelines (Jenkins), IaC (Terraform), observability, technical documentation authoring.
Understand the inner workings and tradeoffs of Data Lake table/file formats such as Delta Lake and Parquet.
Gain experience working with distributed data processing technologies such as Spark.
Software engineering best practices, such as testing, clean coding standards, code reviews, pair programming, automation-first mindset.
Containerisation technologies - Docker, Kubernetes
Knowledge of systems design within a modern cloud-based environment (AWS)
Data pipelines optimization - query performance, monitoring
Shell scripting and related tooling

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