
11 - 50 employees
📋 Compliance
⚡ Energy
🏛️ Government
Compliance • Energy • Government
VIDA is a company that provides map-based software to assess the location risks of infrastructure, such as wind farms, power grids, data centers, transportation sites, and more. With access to over 50 global data layers, VIDA simplifies the evaluation of climate, ESG, demand, and accessibility risks globally. The platform facilitates teamwork by allowing project sharing with team members and external partners, enabling them to contribute comments, notes, and supporting documents. VIDA is used by infrastructure funds, banks, multinationals, and governments in over 40 countries to perform due diligence and manage climate risks, automate ESG reporting, and assess impact. The company supports data-based decision making and ensures seamless progression from initial assessment to comprehensive due diligence.
🔥 37 minutes ago
🇩🇪 Germany – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
🚰 Data Engineer
🚫👨🎓 No degree required
👻 Ghost score 12%
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
📋 Compliance
⚡ Energy
🏛️ Government
Compliance • Energy • Government
VIDA is a company that provides map-based software to assess the location risks of infrastructure, such as wind farms, power grids, data centers, transportation sites, and more. With access to over 50 global data layers, VIDA simplifies the evaluation of climate, ESG, demand, and accessibility risks globally. The platform facilitates teamwork by allowing project sharing with team members and external partners, enabling them to contribute comments, notes, and supporting documents. VIDA is used by infrastructure funds, banks, multinationals, and governments in over 40 countries to perform due diligence and manage climate risks, automate ESG reporting, and assess impact. The company supports data-based decision making and ensures seamless progression from initial assessment to comprehensive due diligence.
• Apply and customize geospatial methodologies across sectors at scale. • Work with geospatial, climate, satellite imagery, and other datasets. • Contribute to project deliverables including analytical outputs, documentation, and reports. • Engage in customer-facing project discussions alongside a project manager. • Work with VIDA’s software platform as part of project delivery. • Extend agentic AI capabilities for internal and client-facing use alongside the senior ML engineer.
• Degree and/or professional experience in geospatial data engineering, data science, computer science, AI, or a related technical or scientific field. • 2–5 years combining software/data engineering with geospatial applications. • Ideally, experience in climate, energy, and/or infrastructure. • Proficiency in Python. • Experience in software engineering, including latest developments in agentic development, and geospatial data engineering. • Genuine enthusiasm for using and building with AI tools. • Some experience delivering technical work within client projects and adapting to shifting priorities and timelines. • Comfortable communicating technical concepts to non-technical stakeholders and contributing to client discussions and deliverables. • Comfortable moving between projects across sectors and broader technical development as priorities shift. • Bonus: GCP, geospatial tools, climate / natural hazard modelling experience, extended knowledge in one of VIDA’s core sectors, and broader software/data engineering skills.
• Mission & impact: Create tangible real-world impact, and shape our success story and culture from the ground up. • Diversity: 15+ nationalities on the team, spread across the globe. • VSOP program: All team members share in VIDA's success. • Remote & flexible: Autonomy over where you work remotely (+/- 4h to Germany’s time zone). • Offices in Nairobi and Munich. • 500€/year for learning/wellbeing. • 500€ for equipment setup. • 28 vacation days + public holidays in your country of residence.
Apply Now🔥 1 hour ago
Data Engineer building scalable AWS data pipelines and platforms for INTERSPORT’s e-commerce operations. Enabling company-wide analytics, reporting, and data-driven decisions.
🗣️🇩🇪 German Required
Airflow
AWS
BigQuery
Cloud
ETL
Python
SQL
Terraform
🕒 Yesterday
Analytics Engineer improving observability, tooling, and pipelines for Emma, a global direct-to-consumer sleep brand. Building reliable data infrastructure across Redshift, dbt, AWS, and lakehouse systems.
Airflow
Amazon Redshift
Apache
AWS
Python
SQL
Switching
Terraform
🕒 Yesterday
Data Engineer building scalable Azure and Databricks pipelines for Redcare Pharmacy, Europe’s leading e-pharmacy. Supporting data architecture, analytics, performance, and quality.
Apache
Azure
Cloud
Java
Python
Scala
Spark
SQL
🕒 August 10
Data Engineer maintaining JobLeads’ global remote data platform with SQL Server, Airflow, Python, and AI tooling. Ensuring reliable overnight processing, data quality, warehouse modeling, and production-ready automation.
Airflow
AWS
Azure
Linux
MS SQL Server
Python
SQL
🕒 August 5
Data Engineer building reliable data lakes and telemetry pipelines for R3 Robotics’ AI-powered EV dismantling platform. Administering cloud infrastructure, data quality, monitoring, and analytics systems.
AWS
Azure
Cloud
Docker
ETL
Grafana
Linux
MongoDB
Node.js
Postgres
Prometheus
Python
SQL
Tableau