Data Engineer (m/f/d)

<p><p><span><span><span>In today's fast-paced digital landscape, data is the foundation of business innovation and competitive edge. To harness its full power, we need more than just storage — we need to transform it into actionable insights. This is where your expertise is invaluable.</span></span></span></p> <p><span><span><span>We're seeking a Data Engineer (m/w/d) with a knack for problem-solving and a passion for technology to join our team. Your mission will be to build and optimize data pipelines, leveraging Databricks to facilitate a seamless, efficient flow of data. Your work will be critical in enabling the Liebherr Group to process and analyze data more effectively, turning complex datasets into valuable insights.</span></span></span></p> <p> </p></p> <h2>Your responsibilities</h2> <ul> <li><span><span><span>Develop and optimize automated data pipelines (batch &amp; streaming)</span></span></span></li> <li><span><span><span>Consolidate, prepare, and stage data from various data sources</span></span></span></li> <li><span><span><span>Improve data reliability, efficiency, and quality</span></span></span></li> <li><span><span><span>Define, develop, and maintain data analytics cloud infrastructure</span></span></span></li> <li><span><span><span>Align cloud infrastructure and applications with business objectives</span></span></span></li> <li><span><span><span>Work agile with data scientists and cloud backend engineers on advanced analytics use cases</span></span></span></li> <li><span><span><span>Operationalize data driven digital products and services</span></span></span></li> </ul> <h2>Your qualifications</h2> <ul> <li><span><span><span>M.Sc. Computer Science or related technical field with a focus on Data Engineering</span></span></span></li> <li><span><span><span>Proficiency in Data Engineering and Databricks / Spark, data lakes as well as SQL- and NoSQL databases</span></span></span></li> <li><span><span><span>Experience with development of distributed systems</span></span></span></li> <li><span><span><span>Experience with cloud providers (e.g. Azure, AWS) and container technologies (e.g. Docker, Kubernetes)</span></span></span></li> <li><span><span><span>Experience with CI/CD (e.g. GitHub Actions) and IaC (e.g. Terraform)</span></span></span></li> <li><span><span><span>Excellent programming skills (e.g. Python)</span></span></span></li> <li><span><span><span>Basic experience with Data Science, MLOps, or Large Language Models (LLMs)</span></span></span></li> <li><span><span><span>Excellent spoken and written communication skills in German &amp; English</span></span></span></li> </ul> <h2>Our offer</h2> <p><span><span><span>If you're ready to take on the challenge of enhancing our data infrastructure and contributing to our AI initiatives, we're looking for you. Join us and become a key contributor to our journey toward a data-driven future.</span></span></span></p> <p>Haben wir Ihr Interesse geweckt? Dann freuen wir uns über Ihre Online-Bewerbung. Bei Fragen kontaktieren Sie bitte Verena Maucher.</p> <p><b>One Passion. Many Opportunities.</b></p> <h2>Das Unternehmen</h2> <p>​<span id="cke_bm_4414S"> </span>Die Liebherr-Digital Development Center GmbH entwickelt am Standort Ulm digitale Lösungen für die gesamte Firmengruppe Liebherr. Unser passioniertes Team aus den Bereichen Software Development, Engineering und Data Science arbeitet gemeinsam an verschiedensten Projekten aus der gesamten Liebherr-Produktwelt. Unsere Mission: einzigartige digitale Erlebnisse schaffen!​<span id="cke_bm_1976S"> </span>   </p> <h2>Standort</h2> <p>Liebherr-Digital Development Center GmbH</p> <p>Konrad-Zuse-Straße 4</p> <p><span>89081</span> <span>Ulm</span></p> <p>Deutschland (DE)</p> <h2>Kontakt</h2> <p>Verena Maucher</p> <p>verena.maucher@liebherr.com</p> <p></p>