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 vacancies for both our Eindhoven office and our Amsterdam office, so choose the location that suits you best!
This is your dream job if:
- You value the importance that solutions match the strategic goals of a company
- You are interested in optimizing complex processes and products in operations using data insights.
- You want to create user-friendly data solutions that satisfy different stakeholders in the finance, manufacturing, and logistics sector.
- You want to guide clients to solve their challenges and create value together with a multidisciplinary team
- Your ambition is to work with both multinational and medium-sized client
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
- 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
- An entrepreneurial environment where you can contribute to sustainable operations and innovative products
- 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
- 25 vacation days
- 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;
- 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;
- 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 person: Mart Althuizen
Email: m.althuizen@brightcape.nl
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 reach operational excellence for our customers. Explore, Extract, Embed, and Educate is what we do. Explore our customer’s data maturity, Extract value out of our customer’s 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, family day, and most of all our yearly ski trip.
Our job application process
After sending out your application, you can expect the next steps:
- Confirmation of receipt
- Review and if selected, an introductory meeting
- We have a click? Then we will proceed!
- Presentation of your favorite/coolest/ most interesting project, of your preference
- We match? Job offer!