Data Engineer

What’s the role?

In the role of Data Engineer, you will be developing, deploying, and maintaining data pipelines to support analytics and data science for Global Logistics. Embedded in the global Advanced Business Analytics team of Global Logistics you work closely with the enterprise data lake team and leading experts in the field of data engineering and data science. You will interact with key stakeholders from business and across IT teams to integrate and transform required data into the Enterprise Data Platform. You translate business requirements of Global Logistics business owners into technically viable solutions by owning, implementing, and maintaining data provisioning.

What does the role involve?

In the role of a data engineer you retrieve, process and store large sets of data. The target is to utilize the data for analysis work as well as data driven applications for Global Logistics including reporting & automation software. You determine the optimal solution design for these processes while maintaining, implementing, and monitoring them. You integrate data from multiple sources and work closely with other data engineers and data scientists to derive data requirements. You deal with high level of technical complexity and offer integration across various technical platforms. The role will require you to fully understand dataflows on organizational as well as technical level. Working closely together with team members of the global enterprise data lake, you will establish and execute data provisioning, ranging from initial requests to the technical realization of accessing the data. Guaranteeing the seamless, timely and well managed provisioning of data. You maintain high technical skills, share your knowledge across teams and actively enable other data engineers. You maintain strong connections with people in Global Logistics and other functions.

What you need is :

• Bachelor’s degree in Computer Science, Engineering (Computer / Telecommunication) or any related quantitative field; a Master’s Degree is an advantage for this position.
• 2+ Years of experience indistributed computing framework and big data systems, experience with object-oriented coding, proficiency with Hadoop, MapReduce, HDFS, etc.
• Experience with data integration designs within at least one cloud based hyper scaler (Azure) is preferred for this position.
• High-level analytical skills to understand statistical models when collaborating with Data Scientists
• Strong programming skills (Python, Spark) & experience in maintaining cloud applications.
• Experience with PowerBI and MSFT Fabric is preferred for this position.
• Excellent communication ability to share and explain insights and results in simple and powerful terms to non-experts.
• Excellent verbal and written communication skills in English and can engage with stakeholders from different disciplines in all levels of the organization.
• As a strong team player, you can work in a diverse and dynamic global environment.

Why should you apply?

We know you have plenty of choices when it comes to your career. What makes Hilti stand out is our people. We pride ourselves on fostering an inclusive, caring and high-performing culture that embraces diversity in all its forms.

At Hilti, everyone has the opportunity to thrive. We welcome qualified candidates from all backgrounds and provide equal opportunities. What truly sets you apart at Hilti is your passion for teamwork, willingness to learn and grow, and drive to make an impact.

Whether you're in finance, marketing, product development, or any other team, your work directly contributes to advancements that make construction sites safer, more sustainable, and more efficient. Bring your unique perspective to a team that values what makes you. Together, let\'s make construction better and build a better future for everyone, everywhere.

What do we offer?

We really value our people, and we've worked hard to develop a reward package that reflects this, creating your future to be just how you would want it.

Some of our benefits include :

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