Data Platform Engineer
Team: Engineering & Data
Location: Depop - London
Company Description
Life is about creating. That's why we're home to over 30 million artists, stylists, designers, sneakerheads — and you? We're the community-powered, circular-minded marketplace changing the world of online fashion. Now it's time to get inspired at Depop.
Responsibilities
The Role:
We are seeking an experienced Data Platform Engineer to join our Data Infrastructure team. You will play a key role in building and enhancing our data platform to support analytics, machine learning, marketing, and other critical functions.
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? Visit our blog where we write about technology, people and smart engineering right here - https://engineering.depop.com/
Responsibilities:
You will collaborate with teams across Depop, including Insights, Analytics Engineers, Data Scientists, MLOps, MarTech, and Data Engineering, to address our growing information needs and complex business challenges. Your role will involve building and promoting self-service tools and data best practices, as well as managing our data transformation and overseeing our Datalake.
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.
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:
Experience with a high-level programming language (e.g. Python, Scala).
Proficient with Software engineering best practices, such as testing, clean coding standards, code reviews, pair programming, automation-first mindset.
Strong data domain background - have worked closely to enable advanced data users; data scientists, analysts or analytics engineers and have a good grasp of their needs and how they operate.
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.
Comfortable working in a fast-paced environment and able to respond to change or uncertainty with a positive attitude and a willingness to learn.
A strong sense of ownership, autonomy and a highly organised nature.
You have a passion for learning new things and keeping on top of the latest developments and technologies in our field.
Nice to haves:
Experience working on Datalake ingestion platforms
Experience managing and integrating tools such as Airflow, Databricks, dbt or similar.
Knowledge of systems design within a modern cloud-based environment (AWS, GCP).
Good understanding of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi.
Previous experience working with Spark.
Experience working with containerisation technologies - Docker, Kubernetes.
DevOps experience building CI/CD pipelines (Jenkins), IaC (Terraform), observability, and technical documentation authoring.
Experience with event-driven architectures, preferably using RabbitMQ or Kafka
An understanding of modern data-warehouses (such as BigQuery, Snowflake), data modelling best practices and data pipelines optimization - query performance and monitoring.
Shell scripting and related tooling.
How we work
MyMode is our new hybrid-working model, designed to empower our employees to choose a working mode that works for them.
MyMode is composed of 3 working modes: Flex, Office Based and Remote.
Flex (Default)
Tell me more +Show me less -Flex is our default working mode, meaning all employees will automatically enrol in this mode and there is no application required to enter this mode. Flex employees will be expected to work from the office at least 4 days per month. Teams will determine whether there are set weekly or monthly in-office days based on their operating rhythms and practices. You will need to work with your manager to determine your in-office schedule for your team.
Office Based
Tell me more +Show me less -This option is for employees who are committing to work from the office for a minimum of 4 days per week. As part of taking on the Office Based working mode you will be able to apply for a permanent desk in the office if you need one, but you won’t need to apply to become an Office Based employee.
Remote
Tell me more +Show me less -Under the Remote working mode you are able to work anywhere within the country you are employed in. This mode requires around 2- 4 days per year in the office, depending on organisational guidance. You will be able to expense travel if you are asked to attend the office, but not for office attendance by your choice.
*Remote working is not applicable for all roles at Depop, please check with our Talent Team.
Application Process
Our DNA encompasses the central reasons that people are proud to work at Depop and unites us with a shared language and sense of community.
It guides our daily interactions and empowers individuals, teams, departments and our company as a whole to have a greater impact and achieve our mission.
Show up for the community
Tell me more +Show me less -We go above and beyond. When they succeed, we succeed.
We’re changing how millions of people buy, sell and explore their style, so we do everything we can to create a safe space in a community where you can learn, grow and succeed on your own terms.
Have each other's backs
Tell me more +Show me less -We empower each other with kindness and respect our differences.
Everyone at Depop is seen, heard, valued and encouraged. Our genius is born from our diversity of thought, so we celebrate our wins together and hold each other up when things get tough.
Act with purpose
Tell me more +Show me less -We take conscious risks, deliver efficiently and learn from our mistakes.
Our mission is to be the world’s most diverse and progressive home of fashion. We have the conviction to succeed, the patience to learn and the confidence to fail and try again - being open all the way.
Think thrift
Tell me more +Show me less -We’re resourceful, seek out opportunities and we hustle.
We’re powering a future that is more thoughtful, circular and better for people and planet. To do it, we stay curious, savvy, resourceful and empowered to get the job done – effectively and responsibly.