Analytics 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
Analytics Engineers at Depop help the business understand how its performing and what to do next. We work across all data domains to support our internal partners in building high-quality, analysis-ready datasets. As a member of the team, you’ll work with engineers, data scientists, analysts and product managers who are passionate about building high quality products.
You will help bridge the gap between Engineering and the business to build sources of truth for our business definitions and core datasets. You will use tooling such as Airflow, dbt, Looker and Databricks to develop these models. You will also help to set standards and guidelines so that we have improved productivity for our internal users.
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
Design and build data models for Business Insights and Data Science.
Work with data consumers to understand their needs and deliver solutions that meet their needs.
Develop tooling and services to help develop our Looker instance.
Support BI users and developers in developing self-serve models.
Identify areas of improvement of our data practices to improve the developer experience.
Seek feedback on existing data models and work with consumers to improve them
Promote best practices in developing cost and time efficient models and self-serve analytics.
Requirements
Proficiency in SQL using cloud data warehouses (e.g. Databricks, BigQuery, Athena) and comfortable building performant queries.
Experience designing ELT pipelines using dbt or similar.
Knowledge of data modelling and warehousing best practices.
Experience with engineering best practices such as testing, standards, reviews and automation.
Comfortable working in a fast paced environment and able to respond to change.
Passion for learning new things and keeping on top of the latest developments in data engineering.
Experience in working with version control (e.g. Git).
Bonus points if you have some of the following:
Experience using Looker and LookML.
Experience using Airflow or Databricks.
Experience using shell scripting or working with APIs.
Domain knowledge in either commercial reporting, product analytics, adtech or marketing analytics.
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.