Senior Data Engineer Azure

Discover Your Impact as a Senior Data Engineer Azure at Rabobank

This is what we offer you:

• Thirteenth month's salary and 8% holiday allowance
• 10% Employee Benefit Budget
• EUR 1,400 development budget per year
• Hybrid working: balance between home and office work (possible for most roles)
• A pension, for which you can set the maximum amount of your personal contribution

Make an impact as a Data Engineer at Rabobank. Help shape the future of data, work with the latest technologies, and see the results of your work directly in our organisation. Read on and apply!

You & your role

Develop innovative data solutions that contribute to Rabobank’s digital transformation. As a Data Engineer, you work on challenging projects where you and your team make data accessible and optimise processes. You are responsible for designing, building, and maintaining data pipelines and ensuring data quality.

You have a couple of years of experience in using the following concepts/components in a production environment:

• Databricks
• Python
• Data modelling and SQL
• Airflow
• Scripting (either PowerShell or bash)
• Preliminary knowledge of Java/Scala
• Azure Data Lake Storage
• Azure Functions
• Build and deploy with Azure DevOps (CICD)
• Set up data quality and monitoring
• Develop unit tests (TDD)

Top 3 responsibilities:

• Develop and maintain scalable data pipelines for various business units, using Azure and Databricks to efficiently process large volumes of data.
• Implement data quality and monitoring, ensuring the reliability of our data and directly contributing to the optimisation of business processes.
• Automate deployment processes with Azure DevOps (CICD), so new solutions can be quickly and securely put into production.

Design and realise innovative data solutions that directly contribute to Rabobank’s digital transformation. You work in a multidisciplinary team and have plenty of room for initiative.

Together we achieve more than alone

We believe in the power of differences. By combining the differences between people, we become an even better bank. We are curious about what you will add to our team.

Collaboration is our way of working; as one data-minded team within Rabobank.

‘I work in a team where learning is encouraged, support is genuine, and the drive to deliver is shared. It's a place where I feel safe to grow, surrounded by modern technology and great people.’
Victor Geerdink, Data Engineer

Work on yourself & the world around you

For us, your development and that of society go hand in hand. That’s why we want to invest in you and work together for a better world. We summarise this in one sentence: at Rabobank, you work on yourself & the world around you at the same time.

You’ll see this reflected in your personal development budget, our hybrid working environment, and a good balance between work and home. You can work on banking matters for our private and business customers, but also on social issues such as food and energy transitions.

You & your talent

• Eager to learn new techniques
• Enjoy to teach and share knowledge
• Good communication skills
• Strong collaboration with other roles in the Scrum team
• Drive to continuously improve
• Take ownership of the build, run and change process

Assessment Questions

To ensure that we assess all candidates equally for suitability for this position, we do not require a cover letter. Instead, we ask all candidates the same three questions to see how your profile matches the position. Pay sufficient attention to answering these questions and explaining your answers; this, together with your CV, is the only information we will use to evaluate you in this round. You can draw on your work, volunteer work, education, private life, and so on. Use a maximum of 200 words per question and provide no more than two examples. Below are the questions:

• You’ve had an intake session with the BA and been assigned to build a data product. During the session, you realize that both functional and non-functional requirements are unclear. What would you do next?
• How do you envision AI influencing the future of data engineering workflows and/or data product development?
• Can you share an example of a time when your contribution led to a noticeable improvement in how data was processed within your organization?

To be considered for this position, you must be located in the Netherlands and have the legal right to work in the Netherlands. We are unable to consider candidates requiring relocation from another country.