Python Software Engineer


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Seniority: Junior-Mid
Location: Remote from Portugal
A little about us… When Revolut was founded in 2015, we had a vision to build a sustainable, digital alternative to traditional big banks. Our mission now is to help our customers improve their financial health, empower them to have more control, and promote financial cohesion across the communities in which we operate. Launching into 2021 with 16 million Personal customers and over a quarter of a million Business customers only reinforced our belief in the vast need across the world for better financial services. As our customer base has boomed in the last year, we’ve expanded our team to match that growth. We started 2019 with several hundred employees; now we are 2600+.
What we’re looking for…Revolut is being scaled up by people all around the world who share our vision. We’re looking for people who align with our five core values: we believe that we Get it Done because we Think Deeper and are strongly rooted in the Dream Team. We Never Settle hence why we always Deliver Wow. You want to join a community forward thinking people - we are here for you. We believe in empowering our Revoluters in their work, giving them autonomy and ownership of what they do. We want everyone at Revolut to own their story and their successes - working with us means you’re not just another cog in the machine.
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:
-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.
-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
- 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
- Docker, K8s, Ansible/Puppet, Teamcity/Jenkins, monitoring and alerting
- 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
- Cloud: GCP
- Java, Javascript, GO, etc.
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
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