Mediahuis is looking for ...

An experienced Data Engineer to strengthen the Data & Insights Team within Technology & Product Studio (TPS).  We’re looking for someone with a knack for setting up and managing robust solutions. If that’s you, read on!

Because we need,

 a specialist with a can-do mentality and a passion for data. Someone who takes ownership of various GenAI solutions at operational level, but with an eye for the broader picture.

Does this sound like you? Then please read on carefully, because it only gets better!   

 Here's a summary of what the job entails: 

As a Data Engineer, your role focuses on productizing and maintaining our GenAI solutions. You’ll play a key part in bridging infrastructure and machine learning. You’ll work closely with data scientists and ML engineers to bring GenAI models into production, while ensuring the underlying systems are secure, scalable, and efficient. Your work will directly contribute to the operational success of advanced AI solutions.

Key responsibilities include:

• Designing and maintaining CI/CD pipelines and cloud infrastructure (Azure) using Terraform, with a strong focus on reliability, security, and scalability.
• Managing containerized ML applications with Docker; familiarity with Kubernetes is a plus.
• Supporting the full ML lifecycle by monitoring model performance, optimizing infrastructure, and sharing best practices across the team to foster continuous improvement.

 

 What's about to become your second home? 

You will join the GenAI team, which is a multidisciplinary team consisting of data engineers, data scientists and developers. The team builds generative AI solutions for the newsrooms, B2B and B2C departments of the Mediahuis group; think of generated headlines suggestions or an internal RAG for journalists.

What’s on your CV,

You have strong problem-solving skills, a proactive and pragmatic attitude, and a collaborative mindset. You also have affinity with machine learning workflows – you don’t need to be an ML expert, but you understand how to take a model from notebook to production.

 

 

 Here’s what we’re looking for:

• 3-5 years of experience as a data engineer, DevOps engineer or in a similar role.
• Programming expertise in Python in a machine learning or data context.
• Strong knowledge of Docker and cloud infrastructure; experience with Azure is a plus. And experience with Terraform; experience with Kubernetes (K8s) is a plus.
• Experience in a data engineering context is a plus, though heavy ETL is not the focus. Familiarity with cloud environments (Azure and GCP) and open-source tools like Airflow.
• English fluency is essential; knowledge of Dutch is a plus.

Bonus points for:

• Experience with MLOps tools (such as MLflow, Weights & Biases, or Azure ML).
• Knowledge of security best practices in cloud-based ML environments.
• Interest in or experience with GenAI, LLMs, or prompt engineering.

 

What do you get in return?

Just as we believe in the uniqueness of all our brands, we also believe in the uniqueness and personality of all our people. At Mediahuis it is not merely about your job, but also about your growth and career opportunities. In addition to the basics (a good salary, fringe benefits, etc.) we mainly focus on a pleasant work environment, flexible work arrangements (teleworking, flexible hours) and continuous training opportunities. Mediahuis is more than an employer, just as you are more than the words on your CV. Further information about our assets can be found here. You can get an idea of our company culture and atmosphere on various social media channels.

As a data engineer, you will get the opportunity to leave your mark on the Mediahuis data and AI landscape, and to take the organization to a higher level of AI adoption. Thereby, shaping the future of Mediahuis. It is a varied job with the freedom to unleash your creativity, surrounded by a great team of experts who are eager to share their knowledge with you.

 It’s up to you now!

Will you take your chance or continue to daydream? If the Data Engineer position fits you like a glove, please apply via the button below. Getting acquainted can’t hurt.   

You do not fully match this profile, but you are motivated to take the next step in your career? Come talk to us!