Senior Machine Learing Engineer on Databricks (m/w/d)

Senior Machine Learing Engineer on Databricks (m/w/d) Let’s do IT! You usually find a solution to every problem? Or do the solutions even find you? Either way - you enjoy tackling technical challenges, have a keen eye for details, and bring creative ideas to the table? Then we’ve got some exciting tasks waiting for you. You: implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux. consult and enable cross functional teams to build efficient and scalable big-data- and data-science-projects and take over production responsibility to ensure continuous business value. improve standard processes and best practices for services and projects on our platform and help to reduce costs for them. write clean, maintainable, and efficient code following best practices and coding standards and perform unit testing and debugging to ensure high-quality software delivery. work with adjacent teams on topics such as governance, infrastructure (on AWS, GCP and Azure), data provisioning and scheduling, CI/CD and data engineering. stay up-to-date with related industry trends and technologies, and apply them to enhance our software and service offerings. Bring IT on! You make the keys smoke when you code? Perfect - we’ve got solid equipment waiting for you, so you can bring your skills to the team. You: have at least 2+ years of experience in Machine Learning Engineering on Databricks, including experience with Unity Catalogue, Asset Bundles, Workspace creation, ML Flow, Lakebase and Python. have at least 5+ years experience in working in Software Engineering with at least one additional high level programming language. have solid understanding of SQL and experience working with relational databases (HANA, MS SQL, MySQL). have advanced knowledge about Linux and Operating Systems and about creating, configuring, using and debugging Spark Clusters. offer strong problem-solving skills and the ability to work independently as well as part of a team. have good communication pro rata for part-time) Performance-based bonus and modern work equipment Workation (up to 30 days per year in selected countries) Sabbatical (after 3 years of employment) Comprehensive onboarding day and personalized training program Health and fitness programs (Wellpass, 7Mind, Lifesum, “Fit with Würth”) Fresh fruit days, health days, company sports groups, and running clubs Career and development programs (e.g. via Würth Academy) Flat hierarchies and a culture of appreciation Employee events and corporate benefits program Free hot and cold beverages at most locations Employee referral program (“Employees recruit employees”) Loyalty bonuses, anniversary gifts, birth and wedding allowances Relocation cost reimbursement (under certain conditions) JobRad (company bike) and JobTicket (public transport subsidy) Access to Würth company health insurance