About this role
<p><span id="cke_bm_465S" style="display:none"> </span></p> <p>Req ID 88309 | Budapest, Hungary, ZF Hungária Ipari és Kereskedelmi Korlátolt Felelősségű Társaság</p> <p> </p> <div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About the Team: </b></H2> </div><div><p>IT Center Hungary - 300 professionals based in Eger & Budapest and also working remotely from Hungary, developing and supporting the global IT infrastructure, applications and processes of ZF Group on a global scale. We are working with a wide range of technologies and platforms including SAP, the Microsoft Power Stack and cloud computing services just to name a few.</p> <p> </p> <p><strong>What you can look forward to as Process Mining Data Engineer:</strong></p> <ul> <li>Build data pipelines to create data foundation for Process Mining tools to identify bottlenecks, inefficiencies, conformance deviations, and potentials for process standardization, improvement, and automation in cooperation with process owners and process experts</li> <li>Understand business needs around data integration, data engineering, and data operations to build end-to-end data pipelines for analytical purposes</li> <li>Manage and troubleshoot data pipelines in Azure, Databricks and Datasphere environments</li> <li>Work together with Process Mining experts to support analysis of processes</li> </ul> <p> </p> <p><strong>Your profile as Process Mining Data Engineer:</strong></p> <ul> <li>Bachelor's degree or higher in a related field (e.g. Computer Science, Data Science)</li> <li>Minimum 1-3 years of professional experience</li> <li>Solid communication skills in English</li> <li>Sound knowledge of Data Warehousing concepts, ETL/ELT, data lake environment(s)</li> <li>Proven experience in a coding language like SQL and/or Python</li> <li>Data modelling experience</li> <li>SAP background knowledge</li> <li>Analytical mindset, ability to work in a structured way and quickly analyze problems</li> <li>Open and solution focused mindset, willingness to continuously learn and improve</li> </ul> <p> </p> <p><strong>Advantages:</strong></p> <ul> <li>Experience in Databricks and Azure environments</li> <li>Process Mining Tool knowledge e.g. QPR, UiPath, Signavio, Celonis</li> <li>Deep SAP module knowledge</li> <li>Experience with Business Intelligence (BI) tools</li> <li>Experience in Machine Learning, AI tools</li> </ul> <p><br><strong>Why you should choose ZF in Eger/Budapest?</strong></p> <ul> <li>Stable company background and long-term working possibility</li> <li>Full of challenges and high-level professional activities at an international company</li> <li>Participation in international projects and commission to foreign countries</li> <li>Career opportunities, continuous training program and language courses</li> <li>Competitive salary and performance-related bonus </li> <li>Cafeteria with optional elements</li> <li>School start support</li> </ul></div></div></div><p> </p> <p>Be part of our ZF team as Process Mining Data Engineer and apply now!</p> <p>Contact</p> <p>Fruzsina Barta</p> <p></p>