Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Berlin, Dessau-Roßlau, Leipzig
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data architectures and infrastructural processes for preparing and analyzing environmental data, lead data science projects, and optimize ETL frameworks.
Job Technologies
Your role in the team
- For our application laboratory for Artificial Intelligence and Big Data, we are looking for a Data Engineering Specialist.
- This is a maternity leave cover with 100% of the regular weekly working hours.
- An extension of the employment relationship for the duration of parental leave is being sought.
- For the Application Laboratory for Artificial Intelligence and Big Data (KILab) with up to 30 employees in Leipzig, Berlin, or Dessau-Roßlau, 1 Specialist (m/f/d) as Data Engineer is sought.
- The lab is part of the BMUKN's Environmental Policy Digital Agenda and serves as an innovation, experimentation, and testing space.
- Scientific processing, consolidation, and provision of hard-to-access, complex, and heterogeneous environmental data.
- Design of architectures, infrastructures, and processes for data preparation, analysis, and dissemination.
- Implementation and optimization of these processes.
- Project (sub)management for data science or data engineering research and development projects.
- Ensuring science communication.
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Our expectations of you
Education
- Completed academic university degree (Master's, Diplom) or university studies (Bachelor, FH), preferably in the STEM field, such as Computer Science, Business Informatics, Mathematics, Statistics, Data Science, Data or Software Engineering, Business Intelligence, or a comparable discipline, as well as experience in Data Science, Data Engineering, and/or Machine Learning, or a completed vocational training as an IT specialist with relevant professional experience.
Qualifications
- Knowledge of state-of-the-art statistical methods, Data Mining, Machine Learning techniques (e.g., Predictive Maintenance, Image Processing, Anomaly Detection, Natural Language Processing, Text Mining).
- Excellent knowledge of script-based languages (e.g., Python, Matlab, Stata) and advanced SQL programming.
- Strong team and communication skills, analytical thinking, creativity, empathy, problem-solving ability, and gender competence.
- Excellent German and English language skills, both written and spoken.
- Knowledge of trustworthy AI (robustness, transparency, security arguments).
Experience
- Practical experience with common database technologies.
- Experience with ETL/ELT tools, design principles, tuning, and monitoring measures.
- Experience in agile work environments, Continuous Integration/Deployment, code reviews.
- Experience in processing Big Data.
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What we offer
- Look forward to: the flexibility of a modern workplace - options for mobile work, flexible working hours, part-time opportunities, and work-life balance.
- The security of public service - collectively agreed salary including performance-based pay/pension scheme/annual special payment.
- A health-promoting work environment - within an open, communicative, and diversity-driven work culture.
- Personal growth - diverse personal and professional development opportunities.
- An onboarding process with a motivated and creative team as well as through diverse training options.
- Option to acquire a job ticket.
- In professional tasks: scope for creativity and socially relevant responsibility - interdisciplinary collaboration in future-oriented areas of work within the context of socio-economic transformation, sustainability, climate protection, and digitalization.
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Topics You Will Work On
Job Locations
About Your Employer
Umweltbundesamt
Seit seiner Gründung im Jahr 1974 ist das Umweltbundesamt Deutschlands zentrale Umweltbehörde. Als Deutschlands zentrale Umweltbehörde kümmern wir uns darum, dass es in Deutschland eine gesunde Umwelt gibt, in der Menschen so weit wie möglich vor schädlichen Umwelteinwirkungen, wie Schadstoffen in Luft oder Wasser, geschützt leben können.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Public Service, Unions, Power Sector, Economy
Data Engineering Specialist
- Location
- Berlin, Dessau-Roßlau, Leipzig
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
