Data Engineer Specialist

Data Engineer Specialist | Data Science District

Imagine working with vast amounts of data from various sources and transforming it into beautiful analytical products. As a Data Engineer, you have the opportunity to make a difference by collecting, modeling, and structuring complex data sets. Your expertise in developing data pipelines enables you to handle these tasks efficiently. Working in project teams, you contribute to designing end-to-end solutions for data products. Your skills extend to both on-premise and cloud environments, and you are comfortable with coding. You are familiar with Agile methodologies, CI/CD practices, and Infrastructure-as-Code. At our company, you will collaborate with multidisciplinary teams consisting of business consultants, professional developers, and technical specialists. We strive for excellence and high-quality results, delivering solutions that truly make a difference and satisfy our clients and end-users. We are seeking individuals with a passion for IT and technology, strong communication and analytical skills, and a drive for continuous learning.

Minimum 2 years of experience as a Data Engineer.

Strong teamwork, communication, and analytical skills.

Experience with Cloud platforms such as Azure, AWS, IBM Cloud.

Preferred experience in SQL, Python, data pipelines, API access, Agile, Scrum, DevOps, data architecture, data storytelling, Infrastructure-as-Code.

2 days per week at the office, 3 days remote.

In short, we are a no-nonsense consulting firm focused on delivering value consulting services to our clients. Our team consists of driven IT professionals with in-depth technology expertise. We work with more than 1000 enthusiastic colleagues in North-Western Europe, serving clients such as Heineken, Alliander, ABN AMRO, and Axcel. Our core values are Can-do, Together, Curiosity, Integrity, and Joy.

The Team: The team consists of 20 people who primarily communicate in English.

Setting up cloud OTAP environments for platforms such as Azure, AWS, DataBricks: 10 hrs.

Developing Analytical end products using tools like PowerBI, Cognos: 15 hrs.

Training and guiding business consultants and junior developers in the application of cloud technology: 5 hrs.

Co-developing Valcon’s Cloud proposition: 5 hrs.

Building and maintaining a relevant network with current and new customers: 5 hrs.