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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering and Machine Learning Engineering, with a strong focus on building scalable data infrastructure and transitioning AI use cases into production. Proficient in Python, SQL, and PySpark, with experience in cloud environments and orchestration tools.
Highest-signal resume keywords
Data EngineeringMachine Learning EngineeringPython ProgrammingCloud Environments (AWS/Azure/GCP)Orchestration (Airflow)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringMachine Learning EngineeringPython ProgrammingSQLPySparkAPIsCI/CDMLOpsData InfrastructureAI Use Cases
Soft Skills
LeadershipCoachingTeam Development
Tools & Technologies
AirflowAWSAzureGCP
Industry Keywords
Data & AI ProjectsScalable Data InfrastructureProduction Transition
Tech Stack
Tools & technologiesAirflowAWSAzureCloudGoogle Cloud PlatformPySparkPythonSQL
About the role
Key responsibilities & impact- Technical implementation of our Data & AI projects end-to-end
- Build scalable data infrastructure
- Transition AI use cases into production
- Hands-on engineering (Python, SQL, PySpark, APIs)
- Lead, coach and develop an interdisciplinary team
Requirements
What you’ll need- Several years of experience in Data Engineering and/or ML Engineering
- Initial leadership or team lead experience
- Proficient with Python, SQL, PySpark, and cloud environments (AWS/Azure/GCP)
- Experience with orchestration (e.g., Airflow), CI/CD and ideally MLOps
- Fluent German (C1+); strong English skills are a plus
Benefits
Comp & perks- Learning & development budget
- Mentoring & individual career paths
- Modern working models with remote options (one fixed office day per week)
- Subsidy for public transit pass and Urban Sports Club membership
