Data Engineer (f/m/d)

Climate; Berlin; On-site; EUR 49,000 - 54,000; Full time

Benefits offered by this job

Hybrid office policy

Germany-wide public transport ticket

Urban Sports Club membership

Online mental health platform

Free German language classes

Bike rental discount

Company pension plan

Job summary

United States Digital Space LLC in Berlin seeks a Data Engineer to design, build, and maintain a data platform supporting advanced analytics and modelling. You will contribute to end-to-end data infrastructure, from design to deployment, and collaborate with researchers to define data processing requirements.

The role involves strengthening pipelines, improving automation, and supporting AI-driven initiatives. You will work in a diverse, international team, contributing to impactful projects.

Qualifications

• Bachelor's or Master's in Computer Science or related field.
• Initial experience as a Data Engineer in a production environment.
• Foundational data modeling, structures, algorithms and design patterns.
• Familiarity with data pipelines, APIs, or backend services.
• Experience with Agentic/Generative AI, ML, or BI contexts is a plus.

Responsibilities

• Design, build and maintain data infrastructure for analytics and modelling.
• Develop end-to-end data platform from design to deployment.
• Strengthen data pipelines reliability, observability, and automation.
• Collaborate with data scientists to define processing requirements.
• Support AI/LLM initiatives from a data perspective.
• Develop backend data services and APIs exposing curated datasets.
• Monitor data quality and resolve operational issues.

Skills

Python

SQL

PostgreSQL

Object storage

Containers

Git

CI/CD

Education

Bachelor's or Master's in Computer Science

Tools

Pandas

DuckDB

Prometheus

Job description

Job descriptionWe are currently seeking aData Engineerfor our international and diverse the company Policy Team (CPT). The team is engaged in various projects on the company change mitigation, in particular on energy system transformation, the 1.5°C global warming limit and the evaluation of national the company action. This includes flagship projects, such as the the company 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 the company 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/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 the company 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 the company 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.

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