Data Engineer (f/m/d)

Climate · Berlin HQjunior

In short

▸Diseñar y mantener plataformas de datos para análisis climático y modelos de mitigación.
▸Trabajar con científicos de datos y modelos de IA, desarrollando pipelines y APIs de datos fiables.
▸Destacado: trabajo con impacto real en la política climática global, como el Climate Action Tracker.

Good communication skills in English

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓Título universitario en Ciencias de la Computación o campo relacionado.
✓Experiencia inicial como Data Engineer en entorno de producción.
✓Conocimientos básicos de modelado de datos, algoritmos y diseño de sistemas.
✓Habilidades en Python, SQL, PostgreSQL, contenedores (Docker) y Git.
✓Capacidad de trabajar autónomamente con buena gestión del tiempo.
✓Inglés fluido para comunicación en equipo internacional.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonSQLPostgreSQLObject storage (S3/Minio)Containers (Docker)GitCI/CD principlesPandas/Polar/DuckDBCondaPrometheus

Who should you write to at Climate?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Job description We are currently seeking a Data Engineer for our international and diverse Climate Policy Team (CPT). The team is engaged in various projects on climate change mitigation, in particular on energy system transformation, the 1.5°C global warming limit and the evaluation of national climate action. This includes flagship projects, such as the Climate Action Tracker and the National Pathways Explorer, for which data is being processed and analysed in-house and then published on the respective project websites. As a Data Engineer you will play a critical role in designing, building and maintaining our data infrastructure, ensuring efficient and accurate data processing, storage and retrieval. Responsibilities You will help to 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 data pipelines reliability, observability, and automation 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. Ensure data reliability. Tech Skills Please note that this list is non exhaustive and that if you don’t have experience on some of those you should still apply. Required: Py thon SQL PostgreSQL Object storage (like S3/Minio) Containers (like Docker) Git CI/CD princip les Nice to have: Pandas/Polar/DuckDB or other framework for data processing Conda Monitoring tools (like Prometheus, Grafana and Elasticsearch) Infrastructure as code tool (like Terraform or Ansible) AI‑driven productivity tools Your profile You will ideally have the following qualifications and skills: You have a bachelor's or master's degree in computer science, ideally with a specialization in Data Engineering or DevOps, or a related field. You have gained initial experience as a Data Engineer in a production environment. Foundational notions in data modeling, data structures, algorithms, design patterns, optimization. Familiarity with the relevant tech skills mentioned above. Basic understanding of data pipelines, APIs, or backend services. Exposure to data engineering in the context of Agentic AI, Generative AI, Machine Learning, or Business Intelligence across different types of data formats (structured vs unstructured) and processing methods. ). A problem solver, a fixer, and a creative technologist. We believe coding is a talent and a passion, not just a skill. A strong communicator and a team player who can work efficiently with others, in a diverse, interdisciplinary and international team. Exceptional time management in a complex and largely autonomous work environment. Good communication skills in English Our offer A job with a purpose. You will work in an international team of highly engaged people and contribute to our work in the field of climate change mitigation A positive and inspiring working atmosphere in an international team. Our Berlin office is located near Moritzplatz in the heart of Kreuzberg Hybrid office policy and flexible start time Fully funded Germany-wide public transport ticket 40 € monthly company contribution to Urban Sports Club membership Online mental health and wellbeing platform Free German language classes Bike rental discount Optional company pension plan Conditions Application deadline : Open until filled Start date : As soon as possible Duration : We are looking for a long-term collaboration.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.