Senior Data Engineer Advanced Analytics in Amsterdam

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 Analytics Engineering team is a team of 100+ people (and growing rapidly) that 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. 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 Operations Tribe. With this team, you will be building new capabilities for ING Analytics 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 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
• Experience with Apache Airflow
• Experience in setting up both SQL as well as noSQL databases
• Experience with monitoring and observability (ELK stack)
• 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)
• System design and architecture
• Affinity with Advanced Analytics, Data Science, NLP

Nice to have:

• Being a committer to Open Source projects is a strong plus
• Programming in a statically typed language, e.g. Scala
• Experience with building distributed, large scale and secure applications
• Experience working in cloud environment (e.g. GCP)
• Good understanding of databases including RDBMS, non-SQL and time-series databases
• Knowledge of MLOps tools and practices
• Understanding systems design
• Knowledge of Contact Center domain
• Experience with working in an agile/scrum way

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 ING 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!