1sem
Data Engineer
Beneficios
- Compensation based on experience, discussed transparently during the process plus an annual bonus of up to 10% based on company objectives
- Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients
- Access to our Employee Stock Options Plan
- Private Medical Insurance
- Flexible compensation
- Education stipend
- Remote work stipend
- English classes
- A big vision: to help the world use location-based data to make better decisions. We believe that openness and sustainability are baked into this vision, and we’re sharing it with the world.
- The opportunity to work with leading companies that want to solve challenging localization problems.
Anuncio original
Everything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the "where" and the "why" of their business. CARTO is the world's leading cloud-native spatial analysis platform, built to break down the silos of traditional GIS. Trusted by data scientists, analysts, and developers from global brands such as IKEA, Coca-Cola, T-Mobile, Swiss Re, and AXA, CARTO enables organizations to run scalable spatial analysis directly on their cloud data warehouse. Providing insights for critical use cases like site selection, catastrophe modeling, network planning, and supply chain optimization.
Built by a diverse team of over 150 people across the US, APAC, and Europe, CARTO's cloud-native Agentic GIS platform provides a modern, future-proof alternative to legacy GIS. Offering a powerful suite of tools for visualization, analytics, and application development, our platform is redefining how companies work with location data. CARTO (backed by Insight Partners, Accel Partners, Salesforce Ventures, and Earlybird Ventures, among others) is fundamentally changing the way location data is analyzed, making it an integrated and accessible part of modern business intelligence.
At CARTO, we believe spatial context is one of the most underutilized dimensions in modern data platforms. While companies have become extremely sophisticated at analyzing what and when, very few truly leverage the power of where.
CARTO is the leading cloud-native Location Intelligence platform, built for the modern data stack. Instead of extracting data into legacy GIS systems, we extend the spatial capabilities of today's leading cloud data warehouses - Snowflake, BigQuery, Databricks, and Redshift - enabling organizations to run advanced geospatial analytics directly where their data already lives.
We are redefining what "GIS" means in a warehouse-native world. Our platform provides:
- Advanced spatial SQL functions and geospatial processing
- H3-based large-scale spatial indexing strategies
- Raster analytics for environmental and risk modeling
- Scalable vector tile generation
- Secure, OAuth-enabled API layers
- React-based mapping and visualization libraries
- Deep integration with DBT and modern transformation workflows
But CARTO is not just a product company - our Professional Services team operates at the frontier of spatial data engineering. We design and deliver production-grade geospatial architectures for enterprise customers across insurance, retail, logistics, climate risk, financial services and beyond. We work where data engineering, cloud architecture and geospatial science intersect.
Technically, this means pushing warehouse-native spatial analytics to their limits - optimizing GEOGRAPHY queries, tuning clustering strategies, designing medallion-based DBT pipelines, parallelizing enrichment workflows, and making sure everything scales predictably under real enterprise workloads. If you are excited by:
- Treating SQL as a high-performance analytical language
- Designing systems that compute variables across thousands of geolocated assets
- Building backend services that orchestrate geocoding, raster analysis and data modeling
- Working directly with cloud-native architectures instead of legacy GIS stacks
- Solving spatial problems that most engineers never encounter
Then, CARTO is the place where those challenges are real, daily engineering problems - not academic exercises. We are building the future of spatial analytics inside the modern data stack.
What we are looking for: We are looking for a Data Engineer to help us deliver complex, enterprise-grade geospatial solutions built natively on modern cloud data platforms.. You will collaborate with frontend engineers (React + CARTO libraries), backend engineers, and solution architects to deliver production-ready systems for large customers.
Location: This is a remote-first role, open to candidates based anywhere in Spain. We have offices in Madrid and Seville if you prefer to work in person or want a place to collaborate occasionally, but there's no expectation to use them.
Location: This is a remote-first role, open to candidates based anywhere in Spain. We have offices in Madrid and Seville if you prefer to work in person or want a place to collaborate occasionally, but there's no expectation to use them.
Key Responsibilities
- Warehouse-native geospatial analytics (GEOGRAPHY, H3, search optimization) on Snowflake, BigQuery, and Databricks
- Raster-based enrichment workflows (risk scoring, environmental data)
- High-scale analytical queries for spatial-temporal scenario analysis
- Session-based asset processing pipelines
- Cloud Functions and serverless backends (Python, Node.js)
- CARTO API integrations
- Spatial data pipelines using DBT (medallion architecture: stage → intermediate → marts)
- OAuth-secured APIs integrated with enterprise identity systems
Skills & Expertise
- Initiative, a can-do attitude, and eagerness to learn! Curiosity, energy, and a collaborative mindset (code reviews, pair programming, promote teamwork, succeed together).
- Good knowledge of the GIS industry, 4+ years working in geospatial as a developer, with a mature approach to the job (git, documentation, testing,...).
- Need to be super fluent with SQL and Spatial SQL.
- You've worked before with Python and Typescript (or you're really willing to learn it).
- As the team is mainly based in Europe, the position requires working within our timezone (CET) +- max 3 hours.
- A Bachelor's degree in Computer Science, Engineering, or a related field-or equivalent practical experience.
- Fluency in English and Spanish
Nice to have
- Previous experience with BigQuery, Snowflake, Databricks or Redshift.
- Experience with Google Cloud Platform or AWS
- Experience with AI coding tools (GitHub Copilot, Claude Code, Cursor, or similar)
Candidatura gestionada por CARTO