Senior Machine Learning / Big Data Engineer (m/f/d) for the Internal IT Department of a Market Leader (No consulting, 3–4 days home office per week)

Job Description We are seeking an experienced Machine Learning Engineer who will design, implement and operate ML solutions on the Databricks Big Data platform, support teams across the organization, and bring a strong software engineering background as well as excellent English skills. Ready to create impact? With us, you will actively shape the future of Data & AI. In this role, you will:develop and deploy ML-based services on our Databricks platformprimarily work with technologies such as Python, SQL and Linuxsupport teams from various business units in successfully building and implementing scalable Big Data and Data Science solutionsoptimize processes and standard procedures on the platform – with the goal of increasing quality and reducing costswrite performant, well-structured code – including unit tests and debugging to ensure high software qualitywork closely with experts from other IT and business functions, e.g. in the areas of cloud infrastructure (AWS, GCP, Azure), master data, data engineering and continuous integration/continuous deliveryincorporate new trends and technologies into your project work in order to continuously enhance our solutions You should have an excellent command of English, both written and spoken, and be able to communicate in German at around A2 level. Enjoy a performance-related bonus scheme, workation options, company car option, smartphone and a modern working environment at a financially stable, crisis-proof company. Our client guarantees comprehensive onboarding and individual training opportunities. Health and fitness programs as well as a variety of employee events are also part of the familiar, medium-sized corporate culture. You can choose between several locations: Berlin, Würzburg and the Heilbronn–Schwäbisch Hall region, combined with 3–4 days of mobile/remote work per week. About the employerAs the internal IT organization of a globally active industrial company, our client is driving the digitalization and automation of the group forward. This IT division is responsible for providing and further developing IT infrastructures, data and cloud platforms, as well as digital solutions for all business units. With its international orientation and the use of state-of-the-art technologies, the company offers experts the opportunity to design high-impact solutions and actively shape the digital transformation within a stable and economically successful corporate environment. EducationA successfully completed degree in Computer Science (or a related field), or a completed IT-related vocational training that provides an equivalent level of knowledge. SkillsVery good skills in software development with at least one high-level programming language (e.g. Python, Java, Scala or similar)Ideally, experience with Unity Catalogue, Asset Bundles, workspace creation, MLflow, LakebaseGood knowledge of SQL & databases and experience with relational databases (e.g. HANA, MS SQL, MySQL)Advanced knowledge of Linux / operating systems, including configuration, usage and troubleshootingStrong analytical skills and the ability to solve problems independentlyYou enjoy working independently and responsibly within a team structureYou have good communication and presentation skills and are able to convey technical concepts appropriately to different target audiences ExperienceAt least 2 years of experience in Machine Learning Engineering on DatabricksExperience in building efficient and scalable Big Data and Data Science projectsExperience in the productive operation of ML/Data servicesExperience in process optimization, improving standard processes and best practicesExperience in developing clean, maintainable and efficient code according to best practices, including unit testing and debuggingExperience working in cross-functional teams LocationYou can choose your primary work location between Berlin, Würzburg or the Heilbronn–Schwäbisch Hall region, combined with approximately 3–4 days of home office per week.If you are an experienced engineer and live outside these regions, you also have the option to work on-site 3–4 consecutive days per month. How to applyYou can expect a highly interesting and varied role at a very successful company with a long-standing tradition.If you feel ready to take on this challenge and meet most of the required skills, we look forward to hearing from you.If you have any questions in advance, please feel free to contact Mr. Manfred Wenzel at +49 (0)711 4560584.Please send your application, referring to this job advertisement, directly by e-mail to [email protected], ideally including:A short cover letter outlining your suitability for this positionA concise CV, preferably with photo, clearly highlighting your experience, skills and achievementsReferences/certificates, preferably as PDF file(s)Your earliest possible starting dateYour approximate salary expectationsI look forward to receiving your application!