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๐Ÿค“ Data Engineer

18 000 - 25 000 PLN gross

๐ŸŒ Revolut | Podium Park, Krakรณw

๐Ÿ–ฅ https://www.revolut.com/pl-en/

๐Ÿ‘‰ Requirements:

  • Python ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ
  • SQL ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ
  • Docker ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ
  • Kubernetes ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ
  • Django ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ
  • Flask ๐Ÿ”ธ๐Ÿ”ธ๐Ÿ”ธ
  • ๐Ÿ‘‰ Nice to have:

  • Google Cloud Platform ๐Ÿ”ธ
  • Bash ๐Ÿ”ธ
  • ABOUT THE TEAM
    Data sits at the heart of Revolut and plays a uniquely crucial role in what we do. With data we build intelligent real-time systems to personalise our product, tackle financial crime, automate reporting, track team performances and enhance customer experiences.
    Fundamentally, data underpins all operations at Revolut and being part of the team gives you the chance to have a major impact across the company โ€“ apply today to join our world class data department.

    ABOUT THE ROLE
    We are looking for Data Engineers and https://www.revolut.com/en-PL/careers/department/data#data-engineer-a1d2f627-b44e-429b-a761-183a083ed011Python 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.

    WHAT SKILLS YOUโ€™LL NEED
    -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

    Desired:  
    - 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