Job
- Level
- Junior
- Location
- Berlin, Nuremberg, Munich, Frankfurt, Essen, Leipzig
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop scalable Data & AI platforms, optimize ETL/ELT pipelines using Python and SQL, and implement LLM applications for automating business processes.
Job Technologies
Your role in the team
- Participation in the design and further development of scalable Data & AI platforms using technologies such as Azure, Databricks, or Snowflake according to common architectural principles such as Data Lakehouse.
- Development, automation, and optimization of data pipelines (ETL/ELT) using Python and SQL with frameworks such as Spark or Polars.
- Development of LLM-based applications (e.g., RAG systems) for specific business requirements.
- Development and integration of AI agents for automating complex processes.
- Development, integration, and deployment of machine learning models.
- Opportunity to contribute to a variety of other technical topics, such as cloud and infrastructure, DevOps, API, frontend, and UI development.
- Consulting and communication with our clients.
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Our expectations of you
Education
- Successfully completed studies in (Business) Informatics, Computer Science, Data Science, Data Engineering, or a comparable qualification.
Qualifications
- Excellent Python and SQL skills.
- Strong written and verbal communication skills in German and English.
- Initial exposure to modern Data & AI platforms, ideally Databricks or Snowflake.
- Knowledge of Git, CI/CD (e.g., GitLab CI, GitHub Actions, Azure DevOps), as well as Docker and/or Kubernetes, is desirable.
- Willingness to travel within the scope of consulting activities.
Experience
- Initial professional experience as a Software Engineer, Software Developer, Data Engineer, Data Scientist, or in a similar professional field.
- Initial practical experience with cloud technologies, ideally Azure or AWS.
- First experience with Machine Learning or LLM-based applications.
- Ideally, initial experience with Spark.
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What we offer
- Trust-based working hours with flexible working time arrangements, hybrid work model, workation - take advantage of the opportunity to work from the EU abroad.
- Unique team atmosphere, flat hierarchies with our CEO Alex, and an open feedback culture, annual team workshops at our Data.Castle in the Zillertal, lived Data.Musketeer principle - "one for all, all for one!", our [at] Buddy program for better networking, regular professional and leisure events, dog-friendly offices.
- Intensive onboarding and training process, personal development plan, and individual training opportunities, a diverse range of workshops and training sessions within Data.Academy conducted by our experienced Data.Musketeers as well as external providers, leadership, project management, and expert career paths.
- Childcare allowance, company pension scheme with 20% subsidy, numerous corporate benefits & employee offers (e.g., for events and travel), starting credit in our internal merchandise shop, competitive salary with variable components.
- Mental health & wellbeing support as well as coaching and meditation through nilo.health, fitness and yoga rooms in the Munich office, regular employee surveys, EGYM Well Pass membership with Plus1 option, bicycle leasing via Jobrad after the probation period, internal groups for sports activities, free hot and cold beverages as well as fresh fruit in the office, rooftop terrace (grill).
- Subsidy for the Deutschlandticket, central location of the offices, good connection to public transportation, possibility to work from other locations.
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Benefits
Work-Life-Integration
- 🏖️Workation
- 🍼Day Care for Kids
- 🚌Excellent Traffic Connections
- 🐕Animals Welcome
- 🏠Home Office
- ⏰Flexible Working Hours
Health, Fitness & Fun
Higher Take-Home Pay
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Alexander Thamm GmbH
We're the pioneering data science consulting firm in the German speaking region. Our Munich-based company, founded by Alexander Thamm in 2012, was the first to exclusively specialize in analytics, data science and big data. We help our clients gain a competitive edge and added value through big data.
Description
- Founding Year
- 2012
- Company Type
- Digital Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)4.1
Engineering
3.8Workingconditions
4.0Career Growth
4.4Culture
4.5
Data & AI Engineer
- Location
- Berlin, Nuremberg, Munich, Frankfurt, Essen, Leipzig
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
