Würth IT GmbH

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

Stellenbeschreibung:

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 part of a team.
  • have good communication & presentation skills in English and at least basic skills in German.

Get IT and be happy!

In addition to ever-new keyboards, a great team, and a secure workplace, we offer you a wide range of benefits:

  • Permanent employment contract
  • Flexible working hours and mobile working (usually 3 days per week)
  • 30 days of annual vacation (full-time; pro rata for part-time)
  • Performance-based bonus and company car option
  • Company smartphone 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
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    25 Nov 2025
  • Standort:

    Berlin

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