DATA ENGINEER WITH A DEVOPS MINDSET

• A challenging work environment;
• Functional programming as core business;
• Money, profit -sharing and 27 vacationdays to spend it;
• An employment contract for an indefinite period of time, a nice car, laptop and phone;
• Relaxation and fun! We organize social events including a weekend in the Ardennes, training weekends, sailing with the whole club, amusement park trips, etc.;
• Room for entrepreneurship and own initiatives;
• A strong focus on knowledge sharing, innovation continuous learning;

• M.Sc. or Ph.D. in Computer Science, Mathematics;
• Experience with frameworks from the big data ecosystem’s (Spark, Kafka);
• Strong ability to communicate and negotiate designs of dat pipelines with Data Architects and Data Scientists;

You will be working on advanced applications where you will analyse and optimize the performance of the production process. You will develop solutions that improve the accuracy of performance metrics (such as overlay, focus, critical dimension).

The data you’ll manage is retrieved from various sources. You determine how to structure the data the best way in order to provide data in a ready-to-use format to data analysts for predictive & prescriptive analytics through machine learning.You will design and implement robust scalable data pipelines. 

• If you like building the best software applications with great developers around you;
• You prefer to work in an informal company culture;
• You have the opportunity to attend (inter)national summits and code camps;

• You love to write high quality, maintainable and robust code;
• You think in solutions and how to improve the way of working;
• You like to cooperate with other teams;
• You have a curious mind;
• You find it import to have some fun together;

At Codestar, we love our job: writing clean code that works. Because at the end of the day, only the code counts. We program in Scala, in TypeScript, JavaScript and sometimes in Haskell. We are multilingual and not afraid to learn new languages.  

We enjoy working at clients and in addition we meet every Friday to exchange knowledge and keep in touch. At those times we are working on projects, but also on R&D.