Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Part Time/Full Time
- Contract Type
- Temporary employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop modern data pipelines and optimize data structures for Public Health Surveillance while ensuring data quality and implementing innovative ETL and data harmonization solutions.
Job Technologies
Your role in the team
- You are responsible for the design, development, and optimization of modern data pipelines, sustainable data structures, and matching processes in the field of Public Health Surveillance.
- In a small team of Data Engineers, you will develop and implement innovative solutions for ETL/ELT processes, data harmonization, data linking, and quality assurance.
- Your responsibilities include, in particular:
- Development and operation of data platforms and data pipelines.
- Optimization, monitoring, and operation of data processes.
- Ensuring data quality and data governance.
- Technical collaboration and requirements management.
This text has been machine translated. Show original
Our expectations of you
Education
- Completed academic university degree (Master's, university diploma) in Computer Science, Data Science, Mathematics, or a comparable field of study.
- Willingness to participate in an extended security clearance in accordance with § 9 of the Security Clearance Act (SÜG) and to successfully complete it.
Qualifications
- Knowledge of SQL and database design (e.g., PostgreSQL; Snowflake).
- Knowledge of Python and data processing libraries (e.g., pandas, sqlalchemy).
- Knowledge of data modeling.
- Language skills (CEFR level): German at least C1, English at least B1.
- Knowledge of containerization (Docker, Kubernetes).
- Knowledge of Data Governance / Data Protection (GDPR).
- Flexibility and a positive attitude towards change and innovation.
- Organizational skills with a well-structured approach to work and an overview of one's own tasks.
- Independence and self-responsible work according to set objectives.
- Communication skills with a confident demeanor and the ability to create a positive conversational atmosphere.
- Ability to cooperate and work in a team, and to develop solutions together with other team members.
- Proof of a recognized severe disability or an equivalent status (§ 2 Abs. 3 SGB IX).
Experience
- Several years of professional experience in Data Engineering, Software Engineering, or a comparable field.
- Experience with ETL tools (e.g., Airflow, Talend, dbt).
- Experience with version control (Git) and CI/CD in collaborative software development processes (Code Reviews, Agile methodologies) as well as in best practices in software development (Testing, Code Quality, Documentation).
- Experience with CI/CD processes (e.g., Jenkins, GitLab CI), sustainable software development, refactoring of larger codebases, and modernization of legacy systems.
- Experience with Machine Learning.
- Experience in handling sensitive data (e.g., in the healthcare sector).
This text has been machine translated. Show original
What we offer
- Flexible working hours with flextime and part-time options.
- Individual training opportunities and a comprehensive training catalog for personal development.
- Germany Ticket job with subsidy.
- Up to 50% remote work possible.
- Sports offerings, such as yoga, running events, collaborations with fitness studios, and much more.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Robert Koch-Institut
Das Robert Koch-Institut (RKI) ist ein Bundesinstitut im Geschäftsbereich des Bundesministeriums für Gesundheit. Das RKI ist die zentrale Einrichtung der Bundesregierung auf dem Gebiet der Krankheitsüberwachung und -prävention und damit auch die zentrale Einrichtung des Bundes auf dem Gebiet der anwendungs- und maßnahmenorientierten biomedizinischen Forschung.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
