Data Engineer
HBK - Hottinger Brüel & Kjær
This job will provide you with an opportunity to further your career alongside some of the best and most passionate technology experts from around the world in a leading company within the test, measurement and data analytics industry. You will be a strong contributor collaborating closely with colleagues from various business functions.
At HBK, we live up to our three values: Be True, Own It and Aim High. We believe in absolute integrity – it’s how we win for stakeholders, the environment and each other. We believe in teamwork and keeping our promises – to ourselves and others. Finally, we believe in being bold and positive. This is how we perform at our best and achieve greater success.
HBK is a leading organization in Testing and measuring environment who are on a journey to ensure that we are utilizing data-driven insights to make strategic business decisions. We are seeking a skilled and experienced Data Engineer to play a crucial role in using SAP DataSphere and SAP Analytical Cloud to build robust data infrastructure and facilitate advanced analytics within our organization. The successful candidate will play a pivotal role in leveraging SAP DataSphere and SAP Analytical Cloud to enhance our data analytics and reporting capabilities. The team is currently rebuilding our data landscape, and this is a real opportunity to drive change within the business area.
Job Summary:
As a Data Engineer, you will be at the forefront of managing, processing, and optimizing data to support the organization's analytical needs. Leveraging your expertise in SAP DataSphere and SAP Analytical Cloud, you will collaborate with cross-functional teams to provide a solid data foundation for advanced analytics and reporting.
If you are a data engineering professional with a passion for leveraging SAP DataSphere and SAP Analytical Cloud to build efficient data infrastructure and support advanced analytics, we encourage you to apply and become an integral part of our dedicated team at HBK. Join us in shaping the future of data-driven decision-making for our organization's success.
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