Data Platform Engineer Working Student (m/w/d)
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Position Overview & Specifications
YOUR TASKS
- You support the design and development of Databricks-native data platforms and lakehouse architectures for internal projects and client engagements.
- You contribute to implementing medallion architectures (Bronze, Silver, and Gold), including Auto Loader-based data ingestion.
- You support the development of data governance concepts using tools such as Unity Catalog, including access control and permission models.
- You help automate deployments using Databricks Asset Bundles (DAB) and CI/CD pipelines.
- You contribute to developing data quality frameworks and monitoring solutions for production data platforms.
- You support the technical documentation of platform architectures and internal best practices.
- You contribute to internal tooling and demonstrator projects, actively helping shape and strengthen our Data Platform practice.
YOUR PROFIL
- You are currently enrolled in an IT-related degree programme, such as Computer Science, Business Information Systems, Data Engineering, Data Science, or a related discipline.
- You have good knowledge of Python and SQL.
- Initial experience with Databricks and/or cloud data platforms such as Azure, AWS, or GCP is an advantage.
- You are interested in topics such as data lakehouses, data governance, Infrastructure as Code, and CI/CD.
- You have a basic understanding of data modelling and data integration processes (ETL/ELT).
- Experience with Git and version control is desirable.
- You work independently and in a structured manner and demonstrate strong teamwork and communication skills.
- You have excellent German and English language skills (at least C1 level in both languages).
- You are able to work from our Cologne or Munich office at least 50% of the time
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 Platform 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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