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Trainee Data Engineer
Haeger Consulting. Systematically deepen your knowledge of Python, SQL, data modeling, and modern, highly scalable cloud technologies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python, SQL, and data modeling while gaining hands-on experience with cloud technologies and data architecture. Proficient in data analysis, transformation, and visualization, with strong communication skills in both German and English.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData AnalysisCloud TechnologiesData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLData AnalysisData TransformationData VisualizationData ModelingUnit TestingREST APIsGitJupyter Notebooks
Soft Skills
Team-OrientedEager to LearnKnowledge SharingPresentation SkillsCoaching Skills
Tools & Technologies
Cloud PlatformsAWSAzureGCPLinuxBash
Industry Keywords
Data EngineeringData ArchitectureLakehouse TechnologiesContainer TechnologiesModern Software Development Practices
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformJavaLinuxPythonScalaSQL
About the role
Key responsibilities & impact- Systematically deepen your knowledge of Python, SQL, data modeling, and modern, highly scalable cloud technologies
- Develop into a professional Data Engineer
- Prepare for your first customer project as part of the trainee program
- Gain hands-on experience with cloud infrastructure, databases, lakehouse technologies, and container technologies
- Explore data architecture and modern architectural principles in realistic project scenarios
- Participate in code reviews, pair programming sessions, and structured feedback rounds
- Write clean, maintainable code
- Lead short knowledge-sharing sessions for trainees or colleagues in Skill Factories
- Develop your presentation and coaching skills
- Acquire knowledge of AI and cloud technologies as well as modern software development practices
Requirements
What you’ll need- Completed degree or nearing completion of a degree in IT or a data-related field
- Initial hands-on experience with Python and/or SQL, for example through projects, internships, or working student positions
- Experience with data analysis, data transformation, or data visualization
- Interest in data engineering, cloud technologies, and modern data architectures
- Team-oriented, eager to learn, and enthusiastic about sharing knowledge
- Native-level German proficiency
- Comfortable communicating in English
- Ideally, experience with relational databases, Git, or Jupyter Notebooks
- Ideally, basic knowledge of Linux/Bash
- Ideally, initial exposure to cloud platforms such as AWS, Azure, or GCP
- Ideally, knowledge of additional programming languages, such as Java or Scala
- Ideally, experience with unit testing, data modeling, or REST APIs
Benefits
Comp & perks- Option to work from home and flexible working hours
- Practical, hands-on training
- Personal support from experienced coaches
- Regular feedback
- Permanent employment contract
- Collaborative team
- Weekly “active break” at the office or from home
- Corporate benefits
- JobRad bicycle leasing program
- Urban Sports Club membership by individual arrangement
- Regular team events such as after-work get-togethers, game nights, New Year kickoff events, and summer parties