Data Engineer Working Student (m/w/d)
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This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.
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Position Overview & Specifications
YOUR TASKS
- You support the development of databases and data integration processes
- You contribute to the design and implementation of data models and data pipelines for modern data lakes, data warehouses, or lakehouses
- You assist in documenting and structuring data platforms and related processes
- You participate in the development of interactive dashboards and reports, for example in the area of performance metrics and ESG
- You support the application of data analytics methods and tools within project contexts
- You assist users in the utilization and maintenance of data platforms and analytics solutions
YOUR PROFIL
- You are currently enrolled as a student in an IT-related field, such as (Business) Informatics, Software Engineering, Data Science, Data Engineering, or a related discipline
- You have solid knowledge of the programming languages Python and SQL
- You have experience in data visualization and presentation using Power BI and/or Microsoft Fabric.
- Initial experience with Databricks is considered an advantage
- You have a basic understanding of data modeling methods and data integration processes (ETL / ELT)
- You work independently and in a structured manner and demonstrate strong teamwork and communication skills
- You possess excellent German and English language skills (minimum C1 level in both languages)
- You are able to work on-site at least 50% of the time in our office in Cologne or Munich
YOUR BENEFITS
- Supportive Team Culture: Team cohesion is important to us – we support one another and foster a healthy office culture. Our event team organizes regular after-work events to encourage exchange and connection beyond the workplace.
- Early Ownership & Responsibility: From day one, you will take on exciting tasks with real responsibility – whether on your project or by contributing to internal initiatives. You actively help shape our organization.
- Clear Career Development Paths: You will find an environment that supports, challenges, and advances your professional growth. We offer clearly defined career paths and transparent requirements for each level.
- Creative Work Environment: We give you the freedom and time to develop creative solutions and provide the best and most modern hardware (Apple or Windows) to support your work.
- Flexible Working & Vacation Policy: Work remotely and adjust your working hours flexibly to fit around your studies.
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Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United States Work Authorization & Sponsorship Guide
Under United States immigration law (INA § 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:
Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.
Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.
Candidate Preparation Blueprint: Technology
Based on transatlantic hiring benchmarks for Data Engineer Working Student (m/w/d) roles across Trusteq Gmbh's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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