Senior Data Engineer

Job Title: Senior Data Engineer – Databricks & AI
Location: Germany (Hybrid: Berlin / Munich / Remote within Germany)
Employment Type: Full-time, Permanent

About the Role
We are looking for an experienced Data Engineer to join our client’s growing Data & AI team. The successful candidate will be responsible for building and optimizing scalable data pipelines, enabling advanced analytics, and supporting AI/ML initiatives. You will play a key role in shaping the data infrastructure and ensuring smooth collaboration with data scientists, analysts, and business stakeholders.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines on Databricks (PySpark, Delta Lake, SQL).
• Collaborate with Data Scientists to operationalize machine learning models in production.
• Optimize data workflows for performance, scalability, and cost efficiency.
• Work closely with cross-functional teams to define data governance, quality, and security standards.
• Integrate multiple structured and unstructured data sources into a unified lakehouse architecture.
• Support AI/ML model deployment and monitoring.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 3+ years of professional experience as a Data Engineer (preferably in a cloud environment).
• Hands-on experience with Databricks (PySpark, SQL, Delta Lake).
• Strong knowledge of cloud platforms (Azure, AWS, or GCP; Azure preferred).
• Proven experience with AI/ML pipelines and integrating ML models into production.
• Solid programming skills in Python and experience with APIs & automation.
• Familiarity with data governance, CI/CD, and DevOps practices.
• Fluent in English; German proficiency is a strong plus.

Nice to Have

• Experience with MLflow, Feature Stores, and MLOps practices.
• Knowledge of BI tools (Power BI, Tableau).
• Prior experience in financial services, manufacturing, or e-commerce domains.

Benefits

• Competitive salary package + performance bonus.
• Hybrid work model (office presence in Berlin or Munich, flexible remote options).
• Cutting-edge projects in Data, AI, and Cloud.
• Professional development budget & certifications.
• International, diverse, and collaborative work environment.