Data Warehouse Engineer

Data Warehouse Engineer

Are you passionate about building scalable data solutions in the cloud? Do you want to work on a modern analytics platform that powers data-driven insights for millions of users?

We’re looking for a Datawarehouse Engineer to help evolve a state-of-the-art data platform on AWS. You’ll work with Snowflake, dbt, Python, Data Vault 2.0, and modern CI/CD practices to turn diverse datasets into meaningful, actionable information used across the organization.

💡 Why Join Us?

✔ Shape, optimize, and operate a modern Snowflake-based data warehouse in AWS

✔ Work with dbt and Data Vault 2.0/Kimball to deliver trusted data models and data marts

✔ Build robust, automated ELT/ETL pipelines and manage CI/CD workflows for efficiency

✔ Collaborate with cross-functional teams to deliver high-quality data for analytics and reporting

✔ Grow in a culture that values continuous learning, innovation, and collaboration — with sprints, PI planning, hackathons, and knowledge-sharing events

🚀 What You’ll Be Doing

As a Datawarehouse Engineer, you’ll play a key role in enabling data-driven decision-making.

🔹 Design, build, and tune SQL transformations in Snowflake using dbt

🔹 Model data using Data Vault 2.0 and/or Kimball, ensuring clear data lineage

🔹 Develop and maintain automated pipelines and CI/CD processes

🔹 Monitor and optimize platform performance, security, and cost efficiency

🔹 Partner with analytics and product teams to deliver reliable, well-structured data models

👨 💻 Who You Are

You’re a hands-on engineer who loves clean models, reliable pipelines, and scalable architecture.

✅ Strong SQL skills (complex queries, optimization, performance tuning)

✅ Experience with dbt or similar code-based ELT/ETL frameworks

✅ Familiarity with CI/CD pipelines and automation tools

✅ Knowledge of data modeling (Data Vault 2.0, Kimball) and data lineage principles

✅ Proficient in Python for data engineering tasks

✅ Experience with cloud environments (AWS preferred)

🎁 What We Offer

• Impact at scale: contribute to a modern, data-driven organization
• A cutting-edge tech stack: Snowflake, dbt, Python, AWS, Data Vault 2.0
• A collaborative and learning-oriented culture with room for ownership and growth
• Regular team events, innovation days, and opportunities to experiment and improve
• Hybrid working setup for flexibility and balance (once a week office day / once a week trainingsday)

📩 Ready to Take the Next Step?

We’d love to meet you!

Apply with your CV and a short note about your experience with Snowflake, dbt, and data modeling.

📋 Hiring Process

1. Introductory call with Recruitment: Samantha Goncalves ([email protected])
2. Technical interview (SQL, dbt, data modeling, cloud)
3. Team conversation & culture fit
4. Offer & onboarding