Stellenbeschreibung
Senior Machine Learing Engineer on Databricks (m/w/d)
Senior Machine Learing Engineer on Databricks (m/w/d)
Berlin
Niedernhall-Waldzimmern
Würzburg
Festanstellung
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 & 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