Data Platform Engineer in Amsterdam

ING is looking for a Data Platform Engineer 

Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to deliver stable and secure services to end users, and where we have a 'no nonsense' getting-things done mentality, please read on and check out this video: https://www.youtube.com/watch?v=drGR0qGFY_U
 

What department?

The Wholesale Banking Advanced Analytics team is a team of 35 people that has the mission to make Wholesale Banking in 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 operates as a technology accelerator/research team, with a much greater degree of agility, flexibility and experimentation than you would expect from a large financial institution.  We work in a fun and creative environment and we’re dedicated to bringing out the best in both each other and our projects.

Job Description
As a Data Platform Engineer, you will be designing and developing our next-generation Data Analytics Platform.  The Data Analytics Platform aims to be a world leading big data environment for financial analytics and research.  The platform will allow ING to scale to new data and user volumes, and will encourage our teams to continually innovate in the latest open source technologies and techniques.

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you’re pro-active in keeping yourself up to date and trying everything out. You also enjoy laying the architectural foundations for the things you’re working on. You combine both thinking of the future and a hands-on, right now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged.

What you will be doing

• Work as an engineer on the Data Analytics Platform Squad, within the Wholesale Banking Advanced Analytics team
• Design and develop the components our self-service analytics cluster, using a wide array of technologies such as Kubernetes, Ceph and Spark
• Contributing extensively to open source projects
• Work within an agile development team

Do you recognize yourself in this profile:

• Knowledge of container technologies, e.g. Kubernetes, Docker
• Knowledge of distributed processing frameworks and how they work “under the hood” e.g. Spark, Kafka, Flink
• Interest in bleeding-edge open source technologies, e.g. Presto, Druid, Superset, RexRay, Prometheus
• Programming in a statically typed language, e.g. Scala
• Programming in scripting languages, e.g. Python
• Deployment and provisioning automation tools e.g. Docker, Kubernetes, Ansible, Openshift, CI/CD
• Bash scripting and Linux systems administration
• Security, authentication and authorisation (LDAP / Kerberos / PAM)
• Affinity with Advanced Analytics, Data Science
• Other programming languages: scripting (Ruby, Groovy, …) or statically typed languages (Java, C++, Go, …)
• Experience in setting up both SQL as well as noSQL databases

What do we offer?
Working at ING means working in a dynamic and international setting.  Individual development of our employees is very important and that is why ING offers excellent courses and programs. In addition we offer:

• fun!
• excellent salary
• a thirteenth month
• life-course savings scheme
• extensive trainings and education
• public transport season ticket (NS Business Card)
• great career possibilities
• full time position (40 hour week)

  Are you keen to know more or apply?
  For further inquiries, please contact Pawel Debosz at
  We are looking forward to getting to know you!