Junior Data Engineer in WBAA

ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and in business. We are one of the largest banks in Europe and we continuously evolve to become one of the most innovative companies in the banking sector.  

ING Analytics 

ING Analytics is a major driving force in ING’s transformation, aimed at helping us to become a data-driven digital leader and creating tangible value for ING and its customers through world-class analytics models, products, and services.  

The Analytics Engineering team is a team of 50+ engineers (and growing rapidly) that has the mission to enable this transformation. 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 are dedicated to bringing out the best in both each other and our projects. 

Job Description 

You will work as an engineer in our Domino project within the ING Analytics Wholesale Bank Tribe. Domino is a platform which focusses on understanding and predicting business client behavior. Advanced analytics include use of the “Possible Private Individual” Algorithm, allowing us to be fully GDPR compliant and “Entity Matching” giving us a competitive advantage allowing us to see customers transaction network at other banks. 

What will you do? 

Your passion is to work with the latest and greatest technologies in the field of Data Engineering. You will work as an engineer and will design and build the data pipelines that support the Domino initiative and collaborate with data analysts, data scientists and UX designers to create the best user experience for our customers. 

Do you recognize yourself in the following profile? 

Must have: 

• Hands-on experience building data pipelines 

• Basic knowledge of data manipulation and transformation 

• Experience with Apache Airflow, Spark, Python 

• Experience working with SQL databases 

• Basic understanding of deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD) 

 Nice to have: 

• Experience with monitoring and observability (ELK stack) 

• Bash scripting and Linux systems

• Agile way of working

• Comfortable working in the international and cross-functional teams. 

What do we offer? 

Working at ING means working in a dynamic and international setting. Individual development of our employees is particularly important and that is why ING offers excellent courses and programs. You will become a member of the ING Analytics team, a prestigious, no-nonsense, and high-output data science team. You will work on the most innovative projects within ING. In addition, we offer: 

• An opportunity to become part of an international and ambitious team of highly skilled, talented people who love working collaboratively.

• A full-time position (40 hours/week).

• Permanent contract from day one.

• An excellent package including 13th month, holiday allowance, and personal choice budget.

• ​A very stimulating intellectual environment as part of the ING Analytics community. 

• Exciting, impactful, and highly visible projects in a global organization where advanced analytics are a strategic priority.

• Ample training and education possibilities.

• Allowance for home office setup, work mobile and your choice of developer workstation.

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