CAREERS

Our portfolio companies are always looking for great people. Apply to the opportunities below or send us your profile.

Python Software Engineer at Revolut
London, GB
A LITTLE ABOUT US ๐Ÿค”
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.
 
OUR CULTURE ๐Ÿ‘ซ
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.
 
WHAT WE NEED ๐Ÿš€
We are looking for Python Engineers for our Core Data Infrastructure to push our teams to new heights and has combination of laziness, unwillingness to write overcomplicated code and pathological desire to automate everything.
 
WHAT YOU’LL BE DOING โœ๏ธ
Enforcing consistent quality by incorporating tests and performing code reviews with data scientists and data engineers
Explore and experiment new tools, libraries and technologies to improve our solutions
Support and train new and existing users of the platform
Taking ownership of certain parts of the automation and abstraction framework dealing recurring etl tasks, ensuring monitoring, reliability and scaling up of data both in volumes and variety
Creating and maintaining company-wide repository of metadata and related artefacts
Collaborating with product owners, engineers and data scientists to implement a seamless data platform
Coming up with and enforcing best practises regarding everything - coding, testing, deployment, etc.
 
WHAT SKILLS YOU’LL NEED ๐Ÿ“–
Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering)
Fluency in SQL, Python, Unix/bash scripting.
Ability to write easily understandable and maintainable code in multiple programming languages
 
Databases:
- SQL {Redshift, Vertica, Exasol, PostgreSQL, MySQL, BigQuery}
- NoSQL {DataStore, CouchDB, Redis}
- Understanding their strengths and weaknesses
 
Big data: 
- Experience using, configuring, and tweaking one of Kafka, Spark, Flink, etc
Productionizing: 
- Docker, K8s, Ansible/Puppet, Teamcity/Jenkins, monitoring and alerting
Versioning: 
- GIT, Jira, or similar
 
Preferred*:  
- Interest in data analysis/data visualisation (D3 is a plus)
- Experience with prototyping and sketching
- Side projects or open source contributions
- Cloud: GCP
- Java, Javascript, GO, etc.
 
DOMAIN KNOWLEDGE
If you have expertise in one of the following, awesome!
- Fraud Detection
- AML/CTF Risk
- Monetization
- Engagement and User Activation
- Credit and Operational Risk Modelling
- Productionizing models
- Code generation



Stay in touch with Balderton

Sign up for our newsletter to stay up to date on news from Balderton, and our portfolio.