> Markdown version of [/jobs/ext/1414348-data-engineer-aws-snowflake](https://www.wearedevelopers.com/jobs/ext/1414348-data-engineer-aws-snowflake). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer AWS Snowflake - **Company:** Tamarind Intelligence - **Location:** Madrid, Spain - **Salary:** €72,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Data as a Services, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Cloud Services, SQL Databases, Cloud Platform System, Snowflake, Git, Data Pipelines - **Published:** July 24, 2026 - **Apply:** https://www.jobleads.com/es/job/eeb9022009b3419a178422bedfe7d5b6f ## About the Role * Strong experience with Python and SQL. * Hands-on experience with AWS data services, Snowflake, dbt, and Apache Airflow. * Knowledge of data warehousing, data modeling, and cloud-based architectures. * Experience working with Git and CI/CD practices. * Experience building and maintaining ETL/ELT pipelines. ## Description Join our expert team to work on a Data & Analytics project, contributing to the development of scalable cloud data platforms and modern data pipelines. You will apply your knowledge of AWS, Snowflake, dbt, Apache Airflow, Python and SQL to deliver high-quality data solutions that support analytics initiatives., You will be responsible for designing, developing and maintaining scalable ETL and ELT pipelines using AWS services, building reliable workflows with Apache Airflow, optimizing data models in Snowflake and dbt, implementing data quality and monitoring practices, and collaborating with analysts and data teams to deliver trusted datasets for analytics and business intelligence. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)