Values

The ad says“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.”
The ad says“AI‑driven productivity tools”
The ad says“Foundational notions in data modeling, data structures, algorithms, design patterns, optimization.”
The ad says“Infrastructure as code tool (like Terraform or Ansible)”
The ad says“Basic understanding of data pipelines, APIs, or backend services.”
The ad says“Basic understanding of data pipelines, APIs, or backend services.”
The ad says“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.”
The ad says“Conda”
The ad says“Foundational notions in data modeling, data structures, algorithms, design patterns, optimization.”
The ad says“Basic understanding of data pipelines, APIs, or backend services.”
The ad says“Foundational notions in data modeling, data structures, algorithms, design patterns, optimization.”
The ad says“Foundational notions in data modeling, data structures, algorithms, design patterns, optimization.”
The ad says“Pandas/Polar/DuckDB or other framework for data processing”
The ad says“Monitoring tools (like Prometheus, Grafana and Elasticsearch)”
The ad says“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.”
The ad says“Monitoring tools (like Prometheus, Grafana and Elasticsearch)”
The ad says“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.”
The ad says“Foundational notions in data modeling, data structures, algorithms, design patterns, optimization.”
The ad says“Pandas/Polar/DuckDB or other framework for data processing”
The ad says“Pandas/Polar/DuckDB or other framework for data processing”
The ad says“Monitoring tools (like Prometheus, Grafana and Elasticsearch)”
The ad says“Infrastructure as code tool (like Terraform or Ansible)”

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.

Your 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.

Relevant 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:

Python
SQL
PostgreSQL
Object storage (like S3/Minio)
Containers (like Docker)
Git
CI/CD principles

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.
Passionate about working at the intersection of Climate Science and Data Engineering (tell us about relevant projects you’ve worked on!).
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. Currently we can offer a fixed term contract for 12 months with the perspective of extension based on performance and funding.
Remuneration: The range is EUR 4,363 (Masters plus 5+ relevant years outside of university studies) to EUR 4,810 (9+ years relevant experience outside of Masters'), in accordance with level 4 steps 1 to 3 of our remuneration scales
Vacation: 29 days paid annual leave for each year worked (pro rata) + one day gifted around Christmas.

Please apply with your CV and a cover letter addressing essential criteria, listing of three references, and include your earliest start date and salary expectations. Please use PDF format exclusively using the application form. Applications by email or by post can unfortunately not be processed.

We are a diverse and inclusive team and welcome your application regardless of your gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect that makes you unique.