Data Engineer [rekrutacja online]
Miejsce pracy: Warszawa
Numer referencyjny: /MB/GRMT/PEN/PEN/SP11069
Must have:
  • You have great programming skills in a statically typed language, e.g. Scala or Java,
  • You have hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3/Spark and/or Kafka/Flink),
  • You have knowledge of data manipulation and transformation,
  • You have hands-on experience building complex data pipelines.
Nice to have:
  • You have great skills in interpreted languages, e.g. Python,
  • You have experience in setting up both SQL as well as noSQL databases,
  • You have experience with using deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD,
  • You are familiar with Bash scripting and Linux systems administration,
  • You have good knowledge of security, authentication and authorisation (LDAP / Kerberos / PAM),
  • You have affinity with Advanced Analytics, Data Science,
  • You know other programming languages: scripting (Ruby, Groovy, …) or statically typed languages (C++, Go, …).
How we work


Our ambition is to “Catch the bad guys!”, those trying to launder money using ING and the banking system. We want ING to become the most trustworthy bank in the world! For this we are building a real-time anti-money-laundering and other KYC products. We are bringing together domain expertise, top-notch user-experience, massive amounts of data (internal and external), cutting edge data science, robust software engineering and strong product management.


The KYC teams in ING Tech Poland in Warsaw works closely with ING Wholesale Banking Advanced Analytics. The WBAA team has the mission to make ING data driven. We do this by combining Big Data technology with Data Science to deliver high value solutions and products for our organization. WBAA works in a fun and creative environment and we’re dedicated to bringing out the best in both each other and our projects.


At ING Tech Poland we follow the Agile approach, using flexible frameworks like Scrum and Kanban at our everyday work.We are innovative and we trust people we work with. The broad autonomy our employees have, stimulates motivation and creativity what allows us to adapt to the changing requirements of business partners.Small units called squads are the core of our organization. They have clear vision of products, overcome challenges autonomously and based on team cooperation, work out the most flexible and effective way of working.


  • contract of employment
    type of contract
  • 8:00-16:00
    work hours
  • Zajęcza 15, Warsaw
    this is the location of our office
Zakres obowiązków
50%- Developing data pipelines
50%- Data engineering
Other requirements
  • You have a learning attitude. Not only to master new algorithms and technologies, but also on the interpersonal level,
  • You feel at home in a high-performing team and you make the other team members feel at home as well. You have the independence to speak up when needed,
  • You have exceptional problem-solving capabilities. You understand that understanding the problem is at least 90% of the solution. You have displayed creativity and tenacity in cracking the problem and finding a solution to it.
Your development
  • professional development
  • certificates and knowledge development
  • training budget
  • access to the newest technologies
  • international projects
  • free English courses
Your health, well-being and family
  • provate medical care
  • 50% funded Multisport Card
  • bicycle parking
  • chillout rooms
  • integration events and Stay Fit program
Working conditiions
  • stability of employement
  • fully equipped workstations
  • kitchen
Uprzejmie informujemy, iż skontaktujemy się z wybranymi kandydatami.

Jeżeli w przyszłości, chciałbyś/chciałabyś brać udział w innych rekrutacjach prowadzonych przez ING Business Shared Services B.V. sp. z o.o. Oddział w Polsce z siedzibą w Katowicach, potrzebujemy Twojej dodatkowej zgody: „Wyrażam zgodę na przetwarzanie moich danych osobowych na potrzeby przeprowadzenia przyszłych rekrutacji.”

W przypadku wyrażenia zgody na przetwarzanie Twoich danych osobowych na potrzeby przyszłych rekrutacji informujemy, że będą one wykorzystywane przez okres 2 lat. Wszystkie informacje dotyczące przetwarzania Twoich danych osobowych znajdziesz tutaj.

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