Senior Data Engineer

Are you our new Senior Data Engineer?

Are you interested in the practical applications of data storage and data processing? Do you get excited about deploying developed machine-learning solutions into production? Do you have the skills and ambition to be involved in efficiently storing and scalable processing of data, as well as the set up of a complete data analysis pipeline and the maintenance of data science solutions? Then this role as a data engineer at Bright Cape is really something for you! Within our multidisciplinary teams, you are constantly working on optimizing processes by means of the latest data applications and techniques. In this way, you create value for both our customers and our internal products.

At Bright Cape, we strive to meet our client’s challenges across the full data science spectrum.

Some of the topics our data engineers have been working on over the past year include:

  • Training and maintaining machine learning algorithms in the cloud;
  • Setting up data pipelines that ensure that the daily financial reports can run;
  • Develop a network management monitor tool and integrate it into the customer’s Azure data science landscape;
  • Creating an approval workflow for approving the financial accounting;
  • Advising the customer with regard to setting up a data science platform

We have open positions in Eindhoven and Amsterdam, so choose the location that suits you best!

You are responsible for

  • Deploy machine learning models developed by Bright Cape into production for the customer in order to create value and optimize processes;
  • Find out together with the customer how the various data sources can best be connected;
  • Defining and setting up the data architecture and infrastructure of projects to facilitate optimal data load and processing
  • Collaborate with data science colleagues to develop data platforms and (streaming) data pipelines to deploy production-ready solutions;
  • Help to determine the direction of data engineering within Bright Cape

We offer

  • An open and entrepreneurial environment where team spirit is high and we have fun!
  • A 3-month buddy program, where a dedicated Bright Caper will guide and support you from day one and introduce you to our way of working;
  • Coaching & training, in order to provide continuous development and to boost your impact! An allocated budget for external training & courses next to Bright Academy, our internal training & development plan;  
  • Bright Cape Foundation which we are so proud of! We do better by supporting societal and environmental projects with knowledge (in-kind) and additional donations; 
  • E-Mobility Plan offering everybody a shuttle pass for public transport (OV), car- and bicycle sharing, parking, etc.; 
  • Competitive salary and performance bonus;
  • Flexible working hours; you plan your own schedule in consultation with your client; 
  • In addition to the usual vacation days, we also offer more than a good pension scheme;
  • Mobile phone allowance and of course a company laptop; 
  • Sustainability committee, to make sure we make the right and sustainable choices for a Bright future; 
  • Culture committee, for all our fun (online) events and the legendary Ski-trip! (Because we take pleasure in our work very seriously) 

You are

  • Communicative
  • Creative
  • Entrepreneurial
  • Analytical
  • A team player

You have

  • Completed technical academic degree, preferably Computer Science, Informatics, Mathematics, Econometrics, or a related field;
  • +/- 2 years of working experience
  • Programming experience in one or more scripting/programming languages: Python, Java(Script), PHP, C++;
  • Knowledge of data manipulation and transformation with querying languages such as SQL;
  • Experience in setting up and optimizing data pipelines and architectures. Both in batch and real-time data integration;
  • Experience in setting up both SQL and NoSQL databases;
  • Experience with deployment and working in a DevOps environment: Docker, Kubernetes, CI/CD, Azure DevOps;
  • Experience with microservices, REST APIs and/or custom data connections;
  • Affinity with advanced analytics & data science;
  • An entrepreneur with a commercial attitude;
  • You communicate easily in Dutch and English (both written and spoken)
  • Drive to learn more

It is a bonus if you have:

  • Experience with cloud computing (Microsoft Azure, AWS);
  • Knowledge of Apache Hadoop and Apache Spark;
  • Experience with deploying and maintaining data science solutions in production

    Contact us

    Challenge accepted? Then we would like to meet you! Click on the apply button right away and leave us your motivation and resume. We will contact you soon!

    Contact persons: Lindsey van der Lans or Bart Geerts, recruiter. 
    Email: or

    Who we are?

    We are a data consultancy firm located in Eindhoven & Amsterdam with a European reach. We use data science and human-centered design to achieve operational excellence for our customers. Explore, Extract, Embed, and Educate is what we do. Explore our customers’ data maturity, extract value out of our customers’ data, embed (Bright Cape proprietary) solutions into our customer’s processes & governance, and educate them to get familiar with data analytics and our solutions. Our main strengths lie in the manufacturing, logistics & warehousing, finance, and banking industries.

    Bottom line: We help companies increase their revenue, diminish their costs, and increase their process efficiency through Data Analytics & Science, Human-Centered Design, and Process Mining. Besides, we are constantly working on various astonishing Europe-wide innovation projects which have led to several innovative products.

    Bright Cape employees are very diverse but share their excitement for new opportunities and a positive way of thinking. We also greatly value our quarterly team outings, monthly ‘VrijMiBo’s’, Christmas party, heritage days, knowledge shares, and most of all our yearly ski trip.

    Our job application process

    After sending out your application, you can expect the next steps:

    1. Review and if selected, an introductory interview.
    2. We have a click? Then we will proceed with a knowledge interview.
    3. Presentation of your favorite/coolest/ most interesting project, of your reference.
    4. We match? Job offer!

    Do you have any questions about this vacancy? Get in touch.

    Lindsey van der Lans

    Bart Geerts (recruiter)

    We would like to meet you!

    Press 'apply' and share your motivation and resume. We will get in contact with you soon!