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🟒 Actively Hiring Β· Posted Today ⏳ Closes in 60 days US Corridor πŸ›‘οΈ US Work Authorization 🏒 EXPERIENCED

Data Engineer (f/m/d)

🏒 Climate β€’ πŸ“ Berlin HQ β€’ πŸ•’ Oct 8, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package

Career Integrity & Compliance Audit Report

OP-VERIF-32A61C56 βœ“ Passed Inspection

This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified IRS EIN & State Corporate Entity standing confirmed
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Prevailing Wage Benchmark US DOL Fair Labor Standards Act (FLSA) aligned
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Zero-Intermediary Direct Pipeline Direct candidate ATS submission. 100% free with zero recruitment charges.
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Corridor Right-to-Work Match US Work Authorization

Transatlantic Cost of Living & Purchasing Power Benchmark

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Location Base
Berlin HQ
Tier-1 US Economic Zone
Est. Take-Home Pay
72% - 78% (After Federal/State Tax)
Single tax filer baseline
Transatlantic Parity
1.0 USD β‰ˆ Β£0.79 GBP Living Standard
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Position Overview & Specifications


Job description

We are currently seeking aΒ Data EngineerΒ 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 1.5Β°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 aΒ Data EngineerΒ you will play a critical role in designing, building and maintaining our data infrastructure, ensuring efficient and accurate data processing, storage and retrieval.Β 


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/CDΒ 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:Β 

  • 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.

Find more English Speaking Jobs in Germany on Arbeitnow

Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United States Work Authorization & Sponsorship Guide

Corridor Intelligence

Under United States immigration law (INA Β§ 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:

πŸ‡ΊπŸ‡Έ H-1B Specialty Occupation & Cap

Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.

⚑ TN / O-1 / STEM OPT Pathways

Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.

βš–οΈ Official regulatory reference: USCIS Working in the US & US DOL Foreign Labor Certification.

Candidate Preparation Blueprint: Technology

Recruitment Insights

Based on transatlantic hiring benchmarks for Data Engineer (f/m/d) roles across Climate's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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Hiring Organization
Climate

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Location: Berlin HQ
Eligibility: US Work Authorization
Schedule: EXPERIENCED
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