Supply Chain Data Engineer

It takes nothing less than the extraordinary to satisfy people with the highest standards. Since our establishment in 1899, we have reached this very goal with our enduring brand promise, ’Immer Besser.’. We achieve inspiring results and redefine excellence every day with our strong brand, pioneering products, and award-winning services. This is why Miele is one of the most trusted and desirable premium brands in the world today.

For our new established center Miele Global Services we are looking for Candidates who can join Miele Family. On this position:

Duties:

• being involved in multiple analytics use cases and projects and drive delivery of the data architecture to achieve the objective of these reporting and analytics uses cases;
• operating on Microsoft Azure and SAP technology ranging from Azure Databricks, Azure Data Factory and Azure SQL to SAP BW and related components;
• working in a data-oriented team with combined practices of Scrum and other agile methodologies;
• understanding the data requirements to answer the business questions, assessing the complexity of these and translating them into tasks;
• taking part in each step of development – from requirements gathering until deployment to production. Ensuring the solution that is build is properly designed and implemented adhering to functional requirements.

We expect:

• at least 2 years of experience in a similar role / a complex international environment / manufacturing industry in developing BI solutions;
• B2 level of English language;
• strong experience in Python programming;
• strong problem-solving and analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy;
• expert knowledge of SQL orchestration tools like Azure Data Factory (building and maintaining data pipelines);
• strong SQL skills for querying and creation of views / tables, functions and stored procedures;
• interest in the area of logistics data and supply chain and willingness to develop knowledge in this area;
• experience in parallel data processing using Azure Databricks (pySpark);
• experience in using code versioning tools, such as Git;
• Bachelor or equivalent / higher education; M.C.S. in Mathematics, Economics, Computer Science, Information Management or Statistics.

We offer:

• extensive benefit package (including private healthcare and Multisport card);
• attractive location;
• work based on work-life balance concept;
• friendly and supportive working atmosphere;
• opportunity to grow and develop in a team of professionals;
• possibility of being involved in local initiatives and social action projects.