Data Engineer (32-40 hrs)

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                      Data Engineer                     (32-40 hrs)


We are looking for a data engineer to take on the challenges in the field of data together with us. Are you enthusiastic about the combination of data, architecture and integration? Join the team! 

The Bencom Group provides consumers, institutions and companies with independent and objective information about services and rates in the field of telecom, internet, digital television, energy, insurance and hotel accommodation. 

About the job

As a Data Engineer at the Bencom Group, you work on further developing and maintaining the data infrastructure that forms the basis for all data science, analytics, automation and visualization projects. You ensure that the various internal and external data sources are integrated reliably and efficiently into our central storage system in Azure. 

You are responsible for creating, improving and monitoring a large number of data pipelines. It’s required to have experience with Azure Cloud, and specifically with Azure Data Lake and Azure Synapse; or you need to be able to master this very quickly. This because you must be able to do ETL (Extract-Transform-Load of data) using the language Pyspark on Azure Synapse notebooks. In this process you are responsible fort he data security of every data ETL that you might build.

Within this role you work closely with your colleagues (Julio, Nadim and Ronny). You will join daily stand-up meetings about project progress, challenges and possible solutions. In addition, it is important that you are aware of the latest technologies and concepts and implement them when they have added value. Continuous learning is important, as it is essential to stay ahead in the ever-evolving data landscape. 

Working as a data engineer: The day typically kicks off with a thorough review of data pipelines and ETL (Extract, Transform, Load) processes to ensure seamless data flow. Troubleshooting and optimizing existing pipelines are integral, requiring a keen eye for identifying bottlenecks and implementing enhancements. You will spend most of your time designing, developing and maintaining robust data infrastructure. Whether it's integrating new data sources, managing data storage solutions or implementing data security architectures; the work demands a meticulous approach to maintain data accuracy, integrity and security. The day culminates with a reflection on accomplishments and planning for the next steps which can be done in our organizational board. 

Before we continue

Diversity is important to us! We explicitly encourage candidates of all genders and of any race, color, religion, sexual orientation, gender identity, national origin, veteran or disability status to apply for this position.

What we are looking for

You will join a driven and informal team, where you have a lot of freedom to work independently. 

  • You have completed a relevant HBO or WO education, such as information science or computer science;

  • You have knowledge of and experience with the following programs:

    • ETL/ELT (required); 

    • SQL, Python and data modeling (required); 

    • Azure Cloud and Azure Synapse (advantage); 

    • PySpark (advantage); 

  • You have analytical skills and are able to work independently;

  • You have a strategic view on data science;

  • You are flexible in your work and can make quick adjustments to follow the dynamic workfield. 

What we offer

You will work within a motivated and informal team, where you will have a lot of freedom to work independently. 

  • Lots of room for your own input;

  • Employment with varied and challenging projects;

  • Opportunity to develop yourself;

  • Market-based salary (depending on experience) and bonus opportunities;

  • Pension contribution;

  • Joining frequent staff outings.


We would like to receive your cover letter and resume. The letter should be addressed for the attention of Ms. J.E. (Jeanet) Woldring-Droper. 

For questions about the application procedure or the job content, please send an email to or call us on +31 (0) 595 425859 and ask for Marleen. 

No agencies please.