Data Engineer (f/m/d)

Climate Analytics; Berlin; Hybrid; EUR 49.000 - 54.000; Vollzeit

Benefits dieser Stelle

Hybrid office policy

Germany-wide public transport ticket

Urban Sports Club contribution

Online mental health platform

German language classes

Bike rental discount

Optional company pension plan

Zusammenfassung

Climate Analytics in Berlin seeks a Data Engineer to design, build, and maintain a data platform for advanced analytics and climate modelling. You will work with a diverse international team on projects like Climate Action Tracker and National Pathways Explorer.

You will enable data pipelines, APIs, and data services, while collaborating with researchers to meet data requirements and ensure reliability in a production setting.

Qualifikationen

• You have a Bachelor’s or Master’s in CS, preferably with Data Eng/DevOps specialization.
• You have initial Data Engineer experience in a production environment.
• Foundational data modeling, data structures, algorithms, and design patterns.
• Familiarity with the listed tech skills and basic data pipelines, APIs, or backend services.
• You are excited about AI/Generative AI, ML, BI contexts and climate data.

Aufgaben

• Build and maintain a data platform for analytics and climate modelling.
• Contribute to the full lifecycle of data platform development from design to deployment.
• Improve pipeline reliability, observability, and automation.
• Collaborate with data scientists to define data processing requirements.
• Support AI/LLM initiatives from a data perspective.
• Develop backend data services and APIs exposing datasets to users.
• Monitor and resolve data quality issues across pipelines.

Kenntnisse

Python

SQL

PostgreSQL

Object storage

Docker

Git

CI/CD

Ausbildung

Bachelor's or Master's in Computer Science (Data Eng/DevOps)

Tools

Pandas/Polar/DuckDB

Conda

Prometheus/Grafana/Elasticsearch

Terraform/Ansible

AI-driven productivity tools

Jobbeschreibung

Job description

We are currently seeking aData Engineerfor 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 aData Engineeryou 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.

• Python
• SQL
• PostgreSQL
• Object storage (like S3/Minio)
• Containers (like Docker)
• Git
• CI/CDprinciples

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.

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.