Data Engineer

Data – Product · Data
From clunky apps to hidden fees, banking is broken. So we decided to build a company from the ground that would challenge the bigger players and reinvent how people interact with their money — for the better.
Traditional banks are slow and expensive. Realistically, you’re nothing but a number to them with dollar signs attached. So, one continent at a time, we plan on changing this.

To put it bluntly — it’s about getting shit done and owning what you do. We don’t hide behind fancy job titles or set up bureaucratic processes. Instead we treat our people equally, fairly and give them a ton of freedom and autonomy to create something awesome.
We make mistakes, we learn from them and we back everything up with data and logic.
In three years, we’ve grown to over 700 people and we’re adding around 30 new additions each month. From engineers to marketers, we’re on the hunt for exceptional talent to help us scale our business and get Revolut in the hands of millions of people everywhere.

We are looking for Data Engineers in two functions: Core Infrastructure and Algorithms & ML to push our teams to new heights.

Enforcing consistent quality by incorporating tests and performing code reviews with data scientists and data engineers
Experimenting and exploring new tools, libraries and technologies to improve our solutions
Supporting and training new and existing users of the platform
Core Infrastructure:
Delivering real impact to all employees by researching and implementing productionised architecture for core data infrastructure
Collaborating with product owners, engineers and data scientists to implement a seamless data platform
Algorithms & ML:
Delivering real impact to products and services by liaising with data scientists to implement productionised systems for quantitative models (with or without machine learning)
Collaborating with engineers and data scientists to accelerate speed of deployment

Bachelor’s/Master’s/PhD in STEM (Mathematics, Computer Science, Physics, Engineering)
Fluency in SQL, Python, Unix/bash scripting. Bonus: {Java, Go, Javascript, etc.}
Ability to write easily understandable and maintainable code in many languages
Big picture thinking - how to productionize research and what problem are you solving?
Cloud: GCP
SQL {Redshift, Vertica, Exasol, PostgreSQL, MySQL, BigQuery}
NoSQL {DataStore, CouchDB, Redis}
Understanding their strengths and weaknesses
Production: Docker, K8s, multi-threading
Versioning: GIT, Jira, or similar
Interest in data analysis/data visualisation (D3 is a plus)
Experience with prototyping and sketching
Side projects or open source contributions

You’ll get to work in one of the hottest and fastest growing tech startups in the world right now
We’ll arm you with all of the latest tech equipment
Competitive salary & equity
Private pension plan
Free Revolut Metal subscription
Free dinners with Deliveroo
Fresh juice & soda all day long