Data Engineer (Dutch Speaking) [F/M/X]

Netherlands
Dutch

Who are we?

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:   

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you! 

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.   

As you know, every person is different and so is every role in a company.  That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience. 
We look forward to meeting you!

Job description

Position Overview:

We are recruiting for several Data Engineer positions across the Netherlands, specifically in North Brabant and The Randstad. We are looking for skilled and proactive talents to join our growing teams. The ideal candidates will be responsible for building, optimizing, and maintaining data pipelines, data architectures, and complex data processing systems to support our business intelligence and analytics initiatives.

Key Responsibilities:

  • Design, develop, and maintain scalable and reliable data pipelines and ETL processes.

  • Build, manage, and optimize data storage solutions (data lakes, data warehouses, databases).

  • Ensure data quality, integrity, and security across all systems.

  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.

  • Integrate data from multiple sources, including APIs, internal databases, and third-party platforms.

  • Implement data governance and ensure compliance with data privacy regulations (GDPR).

  • Troubleshoot and resolve data issues, ensuring system reliability and optimal performance.

  • Develop and maintain technical documentation for data solutions and processes.

  • Participate in Agile/Scrum ceremonies and cross-functional projects.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.

  • 2-5 years of experience in data engineering, data architecture, or a similar role.

  • Fluency in Dutch and English (written and spoken) is required.

  • Strong experience with data pipeline tools and ETL frameworks.

  • Proficiency with cloud platforms (e.g., AWS, Azure, Google Cloud) and related services.

  • Solid programming skills in Python, SQL, or similar languages.

  • Experience with big data technologies (e.g., Spark, Kafka, Hadoop) is a plus.

  • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).

  • Knowledge of data modeling, data governance, and GDPR compliance.

Preferred Qualifications:

  • Experience with CI/CD pipelines and version control systems.

  • Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.

  • Experience working in an Agile/Scrum environment.

  • Data engineering or cloud certifications are a plus.

Interested in this job?

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