Senior Data Engineer AI (all genders)

TeamViewer; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A technology company in Berlin is seeking a Senior Data Engineer AI to join their new AI team. This role involves designing and deploying AI solutions while collaborating with various teams on ML technologies. Candidates should have strong Python skills, experience with data engineering, and the ability to work hybridly. The position offers competitive benefits and innovative projects driving business impact.

Leistungen

Great compensation and benefits packages

Hybrid and flexible work time

Work From Abroad Program

Access to Corporate Benefits platform with discounts

Onsite onboarding in HQ office

Qualifikationen

• 3+ years of professional experience in data engineering or ML engineering.
• Strong understanding of data pipelines and AI / ML infrastructure.
• Fluent in English; German is a plus.

Aufgaben

• Design, build, and optimize data pipelines and AI / ML infrastructure.
• Develop and deploy LLM-driven applications and automation solutions.
• Collaborate with stakeholders to identify automation opportunities.

Kenntnisse

Python (pandas, SQLAlchemy, FastAPI, etc.)

Data frameworks

Large language models (LLMs)

SQL

Cloud platforms (AWS, GCP, Azure)

Docker

Ausbildung

University degree in computer science, data engineering, machine learning, or related field

Tools

MLflow

Docker

Kubernetes

Airflow

Jobbeschreibung

Responsibilities

We are looking for a Senior Data Engineer AI to actively contribute to the design, development, and deployment of AI- and ML-powered solutions at TeamViewer. You will be part of our newly established AI team whose mission is to consult, build, and deploy automation and AI solutions for both internal and external projects. You will also collaborate with other teams experimenting with LLMs and ML to align on technologies and best practices. This position will report to the AI Team Lead and provides an excellent opportunity to create measurable business impact and drive innovation in an agile, modern environment.

• 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 TeamViewer’s 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 Have : Background in MLOps tools (MLflow, Weights & Biases, Kubeflow). Nice to Have : Knowledge of data governance, security, and compliance for AI solutions. Nice to Have : 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 and stock-based options, regular salary reviews
• Premiums for the private pension plan (BAV) up to the maximum amount are topped up byTeamViewer
• Public transport friendly offices
• Option to lease an e-bike
• Special terms for local gyms
• Access toCorporateBenefitsplatformwith 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 60% home office
• Work From Abroad Program allowing up to 40 days of work outside your contracting country
• We celebrate diversity as one of our core values, join and drive one of the c-a-r-e initiatives together with us!