Data Engineer

Job Description

Job description

A real go-getter who is passionate about his profession

You are a professional who never stops learning. You do not limit yourself to a few specific tools and methodologies. You have sufficient understanding and insight of different concepts. This allows you to apply what is most needed at that moment.

You are a team player. Although you will execute projects independently, we work together to achieve a great result. You think along with your colleagues, advise during projects and answer questions from customers.

You dare to take initiative, using the opportunities you see, and you give solicited and unsolicited advice. Deadlines are not a risk to you, but a challenge.

About Us

A unique environment where passion, innovation and development are paramount.

Your colleagues are overflowing with passion for their field. They are happy to share this knowledge with you and vice versa. Your new work environment is very enterprising. There is continuous innovation with room to continue to develop yourself.

You work as an employee with the earnings, responsibilities and freedom of a self-employed entrepreneur.

The salary is above average based on our unique MaximumDeal reward model. You have maximum control over your employment conditions, which you can adjust in consultation with your colleagues.

Your vision and ideas and your (unsolicited) feedback are highly valued in our flat organization. Naturally, you will be given the space to implement your ideas directly.

Job requirements

An experienced data engineer with ambition

You have experience with some of the following tools:

• Azure Data Factory
• Databricks
• Microsoft SQL & SSIS
• snowflake
• Computer Science Powercenter

You have experience with some of the following environments:

• Javascript, SQL, Python, R, Scala, PowerShell, Spark and NiFi.
• You have experience with developing within a NoSQL environment such as MarkLogic, Hadoop or MongoDB
• You have knowledge of data warehouse concepts and well-known data modeling methodologies
• You have experience with the scrum / agile methodology

The icing on the cake:

Affinity for sports? You can beat your colleagues in our “This Is Keihard Werken” pool where we predict the results of football matches, GP races, tennis tournaments, cycling classics, etc. This can be done with the help of AI 😉