Data Engineer

Do you like tackling? Make the difference with data. Do you want to help level the playing field by means of data, visualizations and the latest technologies? Do you want to work with the latest and greatest tech and ready to actually make an impact? Stop looking any further, we are looking for you!

Job description:
As our Data Engineer you will play a key role in the FFA-team and our clients whilst working in close collaboration with our data & analytics consultants. You will grow into the person that will make our client’s desire for insights become a reality by leveraging next gen technology.

Your excellent technical engineering capabilities form the basis for the Food For Analytics platform. We are constantly innovating and collaborating on internal projects and innovations that will accelerate digital transformation and data centric programs for companies within the food-industry. You also help implement our platform at the customer, and ensure a successful delivery according to the customer's wishes. All this in an open, friendly environment and a great team. We need your analytical and technical skills to help us build the solution, deploy it and continue to challenge us.

Who are we?

Since Sjors & Gert-Jan started working together, they have been inseparable. When they noticed that many food companies lacked data insight, they took the next step. Together, they founded Food For Analytics. Both are completely different, but jointly strive to combat waste in the food industry. In a time of economic uncertainty, we want to create impact within the food industry through Data & Analytics. Level the playing field for everyone! Big or small. Be able to do more with less. And create a more efficient business process! That's what every food company wants!

 To achieve this, we have developed our own data & analytics platform: Titan. This allows us to quickly create valuable insights. To put this on the market, we need you! Our team currently consists of 5 employees (excluding external HR Advisor and Virtual Assistant). All specialized in different disciplines. We are enthusiastic and create an environment to learn from each other. A cool place to work is important. Above all, everyone should be able to do their job. Without hassle. Without any problems. And with the right technology. We take care of it!

Your role

  • Design, build, and implement generic data extraction, preparation, and consumption-patterns at scale for data from a variety of sources into our standardized products / client projects. Preferable in an automated fashion!
  • Design and implement product features into our standardized products and client projects 
  • Anticipate, identify, and solve issues concerning data management to improve data quality 
  • Analyze and profile data for the purpose of designing scalable, flexible and robust solutions 
  • Be able to work independent and proactively to resolve any potential product- and /or operational issues and be eager to learn new techniques. 
  • Craft and maintain documentation of all Food For Analytics data & analytics initiatives.  
  • Support and maintain the implemented solutions to ensure availability, compliant to the requirements set for the standardized products / client projects. 

Must haves for role

  • Perseverance, drive and a deep feeling of ownership.
  • The ability and willingness to learn new things and thereby continuously evolve yourself.
  • Analytical and technical problem-solving mindset.
  • MSc or BSc degree in Computing Science, Information Science or Econometrics, or similar.
  • 1- 3-years' experience of project experience in Data Engineering roles.
  • 1- 3-years' experience and understanding in the Apache Big Data stack and / or Microsoft BI / Azure stack.
  • Understanding of data modelling (Imnon, Kimball, Data Vault, Anchor Modeling, big data).
  • Understanding of data structures and filetypes such as Avro, Parquet, Json, CSV, TSV.
  • Able to communicate effectively both verbally and written, with team members and our stakeholders.
  • Experience with programming languages such as SQL, C#, Python.
  • Experience with source control tools such as GitHub and related engineering processes.

Nice to haves for the role

  • Experience of automation and provisioning approaches (Infrastructure as Code), using tools such as AWS Cloud Formation, Terraform, Ansible, Packer etc. 
  • Fundamental knowledge of security best practices in cloud engineering.
  • Knowledge of data- and cloud- and solution-architecture principles for delivering scalable, flexible and robust data platforms.
  • Experience as a business analyst.
  • Knowledge of Continuous Integration and Continuous Delivery. 
  • Knowledge of Docker-containers. 
  • Experience in automated testing. 

What do you get in return?

  • An instructive and pleasant working environment with nice colleagues.
  • Various practical project experiences.
  • A market-based compensation of 40 hours (full-time).
  • Learn from the best.
  • And moreover: fun, coffee, chicken sandwich on Friday and great memories!


Reach out to us through and include your resume and motivation. We will get back to you asap!