SECUSTAFF GmbH
10115 Berlin - Deutschland
Fachinformatiker/in - Anwendungsentwicklung
Arbeit
Vollzeit
ab 24.11.2025
Beschreibung
We are currently looking for a
**Senior Machine Learning Engineer on Databricks (m/f/d)**
**Responsibilities**
- Implementation and production readiness of ML-based services on our AI and big data platform Databricks using Python, SQL and Linux.
- Advising and supporting cross-functional teams in setting up efficient and scalable big data and data science projects, as well as taking on production responsibility to ensure continuous business value.
- Improving standard processes and best practices for services and projects on our platform and helping to reduce costs for these.
- Write clean, maintainable, and efficient code following best practices and coding standards, and perform unit testing and debugging to ensure high quality software delivery.
- Collaborate with neighbouring teams on topics such as governance, infrastructure (on AWS, GCP, and Azure), data provisioning and planning, CI/CD, and data engineering.
- Staying up to date with relevant industry trends and technologies and applying them to improve our software and service offerings.
**Qualifications**
- 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 of experience working in software engineering with at least one additional high-level programming language.
- Have a solid understanding of SQL and experience working with relational databases (HANA, MS SQL, MySQL).
- Have advanced knowledge of Linux and operating systems and of 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 and presentation skills in English and at least basic skills in German.
**Benefits**
- 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
- Fresh fruit days, health days, company sports groups, and running clubs
- Career and development programs
- 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)
**Reference**: 25-1113
**Location**: Berlin or Waldzimmern/Würzburg
**Workload**: Full-time
**Start**: As soon as possible
**Duration**: Permanent
**Type of contract**: Permanent position
Could this position be of interest to you? If so, please email your current CV to anne.loth@secustaff.com. I am, of course, available at any time to answer questions or provide further information. Thank you and best regards,
Anne-Katrin Loth
Senior Recruitment Consultant | Team Lead
SECUSTAFF GmbH
Phone +49-4131-92777-30
anne.loth@secustaff.com
SECUSTAFF
Secure Staffing.
**Senior Machine Learning Engineer on Databricks (m/f/d)**
**Responsibilities**
- Implementation and production readiness of ML-based services on our AI and big data platform Databricks using Python, SQL and Linux.
- Advising and supporting cross-functional teams in setting up efficient and scalable big data and data science projects, as well as taking on production responsibility to ensure continuous business value.
- Improving standard processes and best practices for services and projects on our platform and helping to reduce costs for these.
- Write clean, maintainable, and efficient code following best practices and coding standards, and perform unit testing and debugging to ensure high quality software delivery.
- Collaborate with neighbouring teams on topics such as governance, infrastructure (on AWS, GCP, and Azure), data provisioning and planning, CI/CD, and data engineering.
- Staying up to date with relevant industry trends and technologies and applying them to improve our software and service offerings.
**Qualifications**
- 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 of experience working in software engineering with at least one additional high-level programming language.
- Have a solid understanding of SQL and experience working with relational databases (HANA, MS SQL, MySQL).
- Have advanced knowledge of Linux and operating systems and of 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 and presentation skills in English and at least basic skills in German.
**Benefits**
- 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
- Fresh fruit days, health days, company sports groups, and running clubs
- Career and development programs
- 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)
**Reference**: 25-1113
**Location**: Berlin or Waldzimmern/Würzburg
**Workload**: Full-time
**Start**: As soon as possible
**Duration**: Permanent
**Type of contract**: Permanent position
Could this position be of interest to you? If so, please email your current CV to anne.loth@secustaff.com. I am, of course, available at any time to answer questions or provide further information. Thank you and best regards,
Anne-Katrin Loth
Senior Recruitment Consultant | Team Lead
SECUSTAFF GmbH
Phone +49-4131-92777-30
anne.loth@secustaff.com
SECUSTAFF
Secure Staffing.
Quelle: Bundesagentur für Arbeit - Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
Ref-Nr.: 0a5414726b8ac13f6754ad3f5ed2f51a
Letztes Update:
16.12.2025
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