Data Engineer

6 maanden geleden

Boxmeer, Nederland Marel Voltijd
Pride. You can experience it, too.

To support Business Intelligence team in Global Business Services we are looking for a driven candidate who has the ambition to advance Marel to reach operational excellence and full potential through close partnership with internal stakeholders by improving processes, the use of quality data and supporting IT tools. If you are BI Magician and have strong Data Engineering skills, go and apply for:

Data Engineer/Business Intelligence Engineer

The role

You participate in projects improving our use of BI technology and methods to support fact based decision-making and the use of high-quality information in management. The goal of BI is to enable access and analysis of information to improve and optimize the decision-making and performance of Marel. You furthermore participate in implementing the BI strategy and governance, enable best practices and skills, deliver data sets to the business, and cooperate with Analytics team to setup a future state strong BI and analytics platform.

In your daily work, you will:

Participate in Marel´s transition to Microsoft Azure cloud environment, with a focus on Data Mart modeling, PBI Premium semantic layer modeling, and PBI Golden datasets governance and SDLC. Execute BI projects based on priorities, translating business needs and requirements into objectives with acceptance criteria that are simple, clear, and concise. Participate in promoting and implementing the chosen BI approach and toolset. Participate in mentoring the BI community within Marel as well as advising and monitoring running BI projects. Work closely with team members to make data available for users to create a strong BI platform (via Azure Data Lakehouse or Enterprise Data Warehouse), advancing Marel’s BI maturity.

Who are we?

We are a team of problem-solvers from all over the world. Our mission is to transform the future of food processing by creating a world where quality food is produced sustainably and affordably. Being the world leader in advanced food processing solutions, we’re in a unique position to make this happen – but we need more teammates with diverse perspectives and skills to help us get the most out of this opportunity.

What´s in it for you?

There is nothing like the feeling you get when you do something worthwhile for a living. That said, coming home from work knowing you made a difference is just one of the great things you can experience at Marel. You can also expect:

Freedom to take initiative and make an impact. Recognition for your achievements An environment of trust and respect Opportunities to increase your knowledge.

What kind of a person are you?

We encourage each of our 8,000+ employees to bring their unique self to work and aim to make everyone feel recognized, valued and free to explore their potential. We’re committed to creating an inclusive culture and welcome new colleagues from all walks of life. We are looking for someone with the following qualifications:

Bachelor’s degree in computer or data science, mathematics, statistics, management, or a related field is required. A minimum of 3-5 years of progressively responsible experience in a directly related area, during which professional capabilities have been clearly demonstrated. Proficiency in English knowledge, both written and verbal Knowledge and hands-on experience in Power BI Premium and DAX, Data Modelling using PBI desktop and Tabular Editor, or expertise in Microsoft Analysis Services Tabular model development. Experience with SSMS, Jira, MS Excel, PowerPoint, and related technical platforms Understanding of Kimball's dimensional modeling techniques & solid understanding of key BI & Analytical trends Azure Data Warehousing, Azure DevOps, Databricks, and Python knowledge are a big plus.

Interested?

If you want to experience pride, please let us know by applying for the role. For more information about this position, please contact our Talent Acquisition Specialist: Katarzyna Strzelczyk-Kus: K

#LI-Hybrid

#LI-KS1

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