Data DevOps Engineer Amsterdam • IF Solutions

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As the number one network supplier in the Netherlands, we work with passion on our safe, secure, and future-proof networks and services. Our goal is to ensure that anything and everyone remains connected at all times to create a better and cleaner world.

As the future-proof Data DevOps Engineer, you will play a vital role in making KPN a fully data-driven company. The Data & AI Office (DAO) is part of the Technology and Digital Office (TDO) within KPN. DAO is responsible for enabling a digital data-driven KPN.

Do you have ambitions in the field of Business Intelligence and a passion for working with large telecom data? Would you like to participate in a team focused on making KPN's customer interaction data-driven? If so, you might be the new colleague we are looking for!

You will work in a multidisciplinary team dedicated to providing insights that will enhance customer experience. As an applicant for this role, we expect you to be highly motivated to contribute to these values.

• You are a (big) data enthusiast.
• You strive for 100% automation and the highest quality, effectivity, and efficiency.
• Teamwork is your core value; you embrace a "we build it, we own it" mindset.
• You challenge the status quo and are not afraid to speak up!
• You are willing to embrace change by learning and exploring new technologies.
• You ensure adherence to data policy and compliance rules in your daily work.
• You aim to create value for stakeholders, businesses, and customers.

Position: Data DevOps Engineer
Start Date: 10-11-2025
End Date: 30-12-2026
Hours: 32-36 hours per week
Location: Amsterdam (office on Tuesdays and Thursdays)

Gevraagd

You are familiar with a range of technical skills, including:

• SQL
• Teradata
• Informatica/Azure Data Factory/Azure Synapse
• PowerBI
• Python
• Kafka/Streaming Data
• UNIX/LINUX
• Jenkins
• GIT
• Airflow
• JIRA/Confluence
• Slack

You recognize yourself in the following:

• You have at least 3 years of experience working with Enterprise Data Warehouse and Data Mart.
• At least 2 years of experience in Data Modelling.
• Good working experience in Python or any other programming language.
• Experience in working with Big Data.
• Some experience working with any cloud environment, preferably Azure.
• You love to design and write maintainable code and can cover it with valuable tests.
• Knowledge of Linux, but also familiar with Windows.
• Experience in creating automation of data pipelines using CICD.
• You understand the value of writing unit tests as part of your coding cycle.

Alongside your technical expertise, you also possess essential soft skills:

• Analytical
• Attention to detail
• Open-minded
• Result-oriented
• Accountable
• Empathy
• Team Player

Keep embracing your strengths and continue to grow in your journey!