Climate Analytics is a global climate science and policy institute seeking a Data Engineer for its international and diverse Climate Policy Team (CPT) in Berlin. The team works on climate change mitigation, including energy system transformation, the 1.5°C global warming limit and the evaluation of national climate action, through flagship projects such as the Climate Action Tracker and the National Pathways Explorer. As a Data Engineer you will play a critical role in designing, building and maintaining the data infrastructure that ensures efficient and accurate data processing, storage and retrieval.
Responsibilities:
- Help build and maintain a data platform for advanced analytics and climate modelling, spanning data science and data engineering work.
- Contribute to the full lifecycle of data platform development, from design and deployment to continuous improvement.
- Strengthen the reliability, observability and automation of data pipelines through code and tooling improvements.
- Collaborate with data scientists and researchers to define data processing requirements.
- Support AI/LLM initiatives across the organisation from a data and infrastructure perspective.
- Help develop backend data services and APIs that expose curated datasets to internal and external consumers and applications.
- Monitor, anticipate and resolve operational or data quality issues in data pipelines.
Required skills: Python, SQL, PostgreSQL, object storage (S3/Minio), containers (Docker), Git, CI/CD principles. Nice to have: Pandas/Polars/DuckDB, Conda, monitoring tools (Prometheus, Grafana, Elasticsearch), infrastructure-as-code (Terraform, Ansible), AI-driven productivity tools.
Profile: Bachelor's or master's degree in computer science, ideally with a specialization in Data Engineering or DevOps, or a related field; initial experience as a Data Engineer in a production environment; foundations in data modelling, data structures, algorithms and design patterns; basic understanding of data pipelines, APIs or backend services; exposure to data engineering in the context of AI/ML or BI; passion for the intersection of climate science and data engineering; strong communication skills in English and the ability to work in an international, interdisciplinary team.
Conditions: Full-time, fixed-term contract of 12 months with the perspective of extension based on performance and funding; start as soon as possible; salary EUR 4,363 to EUR 4,810 per month depending on experience; 29 days paid annual leave; hybrid office policy and flexible start time; Germany-wide public transport ticket; Urban Sports Club contribution; free German language classes.
HOW TO APPLY:
Apply with your CV and a cover letter addressing essential criteria, a list of three references, your earliest start date and salary expectations. Please use PDF format exclusively via the online application form. Applications by email or by post cannot be processed.
https://climate.jobs.personio.de/job/2765202/apply