Senior Machine Learning Engineer (m/w/d)

Würth IT GmbH; Niedernhall; Hybrid; EUR 80.000 - 120.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Mobile working

30 days vacation

Performance bonus

JobRad

Relocation support

Health insurance

Zusammenfassung

Würth IT GmbH in Germany is seeking an experienced ML Engineer to implement and productionise data-driven services on Databricks. You will collaborate with cross-functional teams to build scalable big-data and data-science projects, taking production responsibility to ensure continuous business value across cloud platforms (AWS/GCP/Azure).

The role requires strong Python/SQL skills, Linux expertise, and experience with Spark clusters.

Qualifikationen

• 2+ years ML engineering on Databricks (Unity Catalogue, MLflow, Lakebase).
• 5+ years software engineering with another high level language.
• Strong SQL and relational DB experience (HANA, MS SQL, MySQL).
• Advanced Linux knowledge and Spark cluster management.
• Good communication and presentation skills in English; basic German.

Aufgaben

• Implement and productionise ML-based services on Databricks using Python, SQL and Linux.
• Consult cross functional teams to build scalable big-data projects and ensure production value.
• Improve standard processes and best practices to reduce costs.
• Write clean, maintainable code with unit tests and debugging.
• Collaborate with governance, infra (AWS, GCP, Azure), data provisioning, scheduling and CI/CD.
• Stay up-to-date with industry trends and apply them to enhance software offerings.

Kenntnisse

ML Engineering

Databricks

Python

Unity Catalogue

Spark Clusters

SQL

Linux

Teamwork

English

German basics

Tools

AWS

GCP

Azure

CI/CD

HANA

MS SQL

MySQL

Jobbeschreibung

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!

Skills

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 or comparable technologies.
• 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 & 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 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