Job Description

Apeldoorn | Hybrid | €4500 - €5800 | 32 - 40 hours | 36 leave days

The Challenge
Are you passionate about data and eager to grow your career in Data Engineering? Do you enjoy turning complex data into reliable and valuable information? And would you like to contribute to a more sustainable food chain? Then we would like to meet you!

At Royal Agrifirm Group, we're looking for a Junior or Medior Data Engineer to help develop and maintain our Azure Data Platform Working alongside an experienced team of Data Engineers, you will build data pipelines, transform data into trusted datasets, and contribute to solutions that support data-driven decision making across our business. As a Data Engineer, you will help build and maintain the data products that power reporting, analytics and advanced data use cases across Agrifirm.

Together with your colleagues, you will work on our Azure data platform, where data from various internal and external sources, structured and unstructured, is collected, processed and made available to business users, analysts and data scientists.This is an excellent opportunity for someone who wants to further develop their skills in Azure, Databricks, dbt, SQL, Python and modern data platform technologies.

Responsibilities:

• Build and maintain data pipelines using Azure Data Factory and Databricks
• Transform and model data using dbt.
• Connect new internal and external data sources to the platform.
• Help ensure data quality, consistency and reliability across datasets.
• Collaborate with Data Engineers, BI specialists and Data Scientists.
• Participate in code reviews and contribute to continuous improvements.
• Work according to Agile/Scrum principles.
• Learn and apply best practices in Data Engineering, DevOps and CI/CD.

 
You will be part of the BI & Data Engineering team within Group IT Business Applications and work closely with colleagues from different business domains. You will report to the IT Lead BI & Data Engineering.

  Our offer

• An extensive introduction program;

• A gross monthly salary of €4.500,- up to €5.800,- depending on experience.

• Approx. 36 free days (23 holidays & 13 ATV based on a full-time job);

• Laptop and an iPhone;

• Good secondary employment conditions;

• Extensive development opportunities through our Agrifirm Academy.

What can we find on your CV?

• At least 1-3 years of working experience in Data Engineering, Analytics Engineering or a related field;
• Must-have tooling experience: Azure, Databricks, SQL, python;
• Nice-to-have tooling experience: Azure Data Factory, dbt, git, CI/CD, terraform or infrastructure as code;
• Experience in working in an Agile/Scrum environment;
• At least a Bachelor degree, preferably in IT, Computer Science, Data Analytics, Data Science, Econometrics or a similar discipline;
  
• In addition, you have a strong willingness to learn and develop technical skills. You bring good communication skills and a collaborative mindset.
  
  

Working at Agrifirm
At Royal Agrifirm Group, we strive for an  inclusive culture, in which all of our employees can say:  “I’m a valued member of a winning team, doing meaningful work in an environment of trust.” Embedded in our company culture are our STAR values, representing not only what we value but also how we act;  Sharp,  Together,  Ambitious and  Responsible. We have the reach to bring different players and different worlds together. Combining the ideas, skills and knowledge of all of our employees enables us to be at the forefront of the development of new concepts, products and tools to deliver on our purpose; a responsible food chain for future generations. 

Interested?
At Agrifirm, we are committed to equal opportunities and encourage candidates from diverse backgrounds to apply. Apply though the application button or contact Sela Ford, Corporate Recruiter at  06 13 18 49 76 or s.ford@agrifirm.com.

An online assessment is part of the application procedure.

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Beste recruiter, in de afgelopen jaren heb ik deze vacature altijd zelf kunnen vervullen met een eigen kandidaat, zonder externe hulp. Het is niet zinvol om te bellen om hulp aan te bieden. Dit wordt niet gewaardeerd.