Senior Data Engineer AI (all genders)

Berlin - Germany

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

TeamViewer provides a leading Digital Workplace platform that connects people with technologyenabling improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.

We believe that our diverse teams and strong company culture are key to the success of our products and technologies that hundreds of millions of users around the world and around 645000 customers across all industries rely on. With more than 1900 employees worldwide we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact

Responsibilities

Design build and optimize data pipelines and AI/ML infrastructure to support automation and AI projects across multiple domains.
Develop and deploy LLM-driven applications and automation solutions focusing on process automation workflow orchestration and enterprise integrations.
Support data preparation curation and fine-tuning for large language models and ML workflows.
Ensure reliability scalability and efficiency of AI applications within TeamViewers ecosystem.
Collaborate with both internal and external stakeholders to identify automation opportunities and consult on AI/ML technologies.
Participate in technology evaluations and feasibility studies for new AI/ML tools and frameworks.
Promote best practices in data engineering machine learning and responsible AI usage.

Requirements

University degree in computer science data engineering machine learning or a related field.
3 years of professional experience in data engineering or ML engineering.
Strong experience with Python (pandas SQLAlchemy FastAPI etc.) and data frameworks.
Knowledge of vector databases (e.g. Pinecone Weaviate Milvus pgvector).
Practical experience with LLMs (fine-tuning RAG prompt engineering evaluation).
Understanding of LangChain / LangGraph (or willingness to learn).
Proficiency in SQL and experience working with relational databases and data warehouses.
Familiarity with MCP (Model Context Protocol) and orchestration frameworks.
Experience with machine learning pipelines and model lifecycle management.
Familiarity with enterprise automation frameworks (e.g. Airflow Prefect Dagster) and integration platforms.
Fluency in English is mandatory; German is a plus.
Nice to Have: Hands-on experience with cloud platforms (AWS GCP Azure) and containerization (Docker Kubernetes).
Nice to Haves: Background in MLOps tools (MLflow Weights & Biases Kubeflow) knowledge of data governance security and compliance for AI solutions and experience in front-end integration of AI tools (e.g. Streamlit Gradio or React for prototypes).

What we offer

Onsite Onboarding in our HQ office for an optimal start
Great compensation and benefits packages including company achievement bonus or sales bonus company stocks and regular salary reviews
Premiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewer
Public transport friendly offices
Option to lease an e-bike (Germany only)
Special terms for local gyms
Access to Corporate Benefits platform with many discounts
Regular Team events and company-wide celebrations
Open door policy no dress code rules frequent all Hands and Leadership Lunches
Hybrid and Flexible work time with up to 50% home office
Work From Abroad Program allowing up to 40 days of work outside your contracting country
We celebrate diversity as one of core values join and drive one of the c-a-r-e initiatives together with us!

TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse values-driven culture makes us stronger. As we continue to grow as a company we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender civil or family status sexual orientation religion age disability education level or race.

Responsibilities

Design build and optimize data pipelines and AI/ML infrastructure to support automation and AI projects across multiple domains.
Develop and deploy LLM-driven applications and automation solutions focusing on process automation workflow orchestration and enterprise integrations.
Support data preparation curation and fine-tuning for large language models and ML workflows.
Ensure reliability scalability and efficiency of AI applications within TeamViewers ecosystem.
Collaborate with both internal and external stakeholders to identify automation opportunities and consult on AI/ML technologies.
Participate in technology evaluations and feasibility studies for new AI/ML tools and frameworks.
Promote best practices in data engineering machine learning and responsible AI usage.

Requirements

University degree in computer science data engineering machine learning or a related field.
3 years of professional experience in data engineering or ML engineering.
Strong experience with Python (pandas SQLAlchemy FastAPI etc.) and data frameworks.
Knowledge of vector databases (e.g. Pinecone Weaviate Milvus pgvector).
Practical experience with LLMs (fine-tuning RAG prompt engineering evaluation).
Understanding of LangChain / LangGraph (or willingness to learn).
Proficiency in SQL and experience working with relational databases and data warehouses.
Familiarity with MCP (Model Context Protocol) and orchestration frameworks.
Experience with machine learning pipelines and model lifecycle management.
Familiarity with enterprise automation frameworks (e.g. Airflow Prefect Dagster) and integration platforms.
Fluency in English is mandatory; German is a plus.
Nice to Have: Hands-on experience with cloud platforms (AWS GCP Azure) and containerization (Docker Kubernetes).
Nice to Haves: Background in MLOps tools (MLflow Weights & Biases Kubeflow) knowledge of data governance security and compliance for AI solutions and experience in front-end integration of AI tools (e.g. Streamlit Gradio or React for prototypes).

What we offer

Onsite Onboarding in our HQ office for an optimal start
Great compensation and benefits packages including company achievement bonus or sales bonus company stocks and regular salary reviews
Premiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewer
Public transport friendly offices
Option to lease an e-bike (Germany only)
Special terms for local gyms
Access to Corporate Benefits platform with many discounts
Regular Team events and company-wide celebrations
Open door policy no dress code rules frequent all Hands and Leadership Lunches
Hybrid and Flexible work time with up to 50% home office
Work From Abroad Program allowing up to 40 days of work outside your contracting country
We celebrate diversity as one of core values join and drive one of the c-a-r-e initiatives together with us!