Data Engineer in Amsterdam

ING is looking for a passionate Data Engineer

As a Data Engineer you will further develop and maintain our Data products and further develop the architecture of our platform and create new architectures for incoming projects.

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 are always searching for new ways to discover new technologies. 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.

A day in the life of a Data Engineer

As a Data Engineer you are the single most important part of the team. You are able to combine Software Engineering with Machine Learning. Without your work, nothing moves, data sits idle and useless in a DB. You are the one combining these sources in real-time, distributed systems to handle large amounts of data loads in no-time. You work on the APIs that deliver personal and relevant insights to the customer. Data scientists, analysts, business users, CEO’s are continuously praising you, thanking you, worshipping you….

Which department?

The 1:1 Analytics IT Area  is a team that has the mission to make the customer's interaction extremely personal and relevant. We do this by combining Big Data technology with Data Science to deliver high value solutions and products for our organisation. 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. With this team, you will be building new capabilities, help to launch new initiatives within ING and support teams and their projects within ING.

Our Stack

Within the 1:1 Analytics Tribe we mainly use the following technologies and frameworks:

• Scala
• Python
• Kafka
• Spark
• Flink
• REST Api
• Cassandra (and other noSQL DBs)
• Airflow (nice to have)
• Docker / Kubernetes / Openshift
• Polymer (nice to have)

• Do you recognize yourself in this profile:

• Master or bachelor degree in Information Technology

• Your currently working as a Data Engineer or a Data Scientist

• 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 (Hadoop/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 authorization (LDAP / Kerberos / PAM)
• Affinity with Predictive Analytics, Data Science

  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 1:1 Analytics Tribe, a prestigious, no-nonsense and high-output data driven department. Diva behavior 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