Senior Data Engineer in Amsterdam

ING is looking for a passionate Data 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 with lots of freedom to innovate, 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!

What department?

The Wholesale Banking Advanced Analytics team is a team of 120 people (and growing rapidly) 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. 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

Your passion is to work with the latest and greatest technologies in the field of Data Engineering. You will work as an engineer on different projects within the ING Analytics WB team. With this team, you will be building new capabilities for ING Analytics WB on the data Engineering part. You will help to launch new initiatives within ING and support teams and their projects within ING. At ING Analytics WB we always work with agile techniques.

Do you recognize yourself in this profile:

• Knowledge of data manipulation and transformation, e.g. SQL
• Hands-on experience building complex data pipelines e.g. ETL
• 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)
• Programming in scripting languages, e.g. Python
• Programming in a statically typed language, e.g. Scala
• Experience in setting up both SQL as well as noSQL databases
• Deployment and provisioning automation tools e.g. Docker, Kubernetes, 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, …)

Nice to have:

• Being a committer to Open Source projects is a strong plus;
• Experience with building distributed, large scale and secure applications
• Knowledge of machine learning, or at least strong affinity with it;
• Good understanding of databases including RDBMS, non-SQL and time-series databases;
• Experience in building 0-downtime applications/components;
• Experience with working in an agile/scrum way, but at least you should have a strong willingness to do so;

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. You will become a member of the Wholesale Banking Advanced Analytics team, a prestigious, no-nonsense and high-output data-science team. Diva behaviour is not tolerated, neither is underperformance. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING. In addition we offer:

• Fun!
• A competitive salary
• Working with highly skilled people
• Working in an area which is of great importance to the strategy of ING
• A relaxed and fun team
• An International atmosphere
• A full time position (40 hour week)
• Great training and education opportunities

Are you keen to know more or apply? We are looking forward to getting to know you!