Data Warehouse Engineer
Posted: 5 days ago
Job Description
Data Warehouse EngineerAre 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 DoingAs 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 AreYou’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 OfferImpact at scale: contribute to a modern, data-driven organizationA cutting-edge tech stack: Snowflake, dbt, Python, AWS, Data Vault 2.0A collaborative and learning-oriented culture with room for ownership and growthRegular team events, innovation days, and opportunities to experiment and improveHybrid 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 ProcessIntroductory call with Recruitment: Samantha Goncalves (sgoncalves@xccelerated.io)Technical interview (SQL, dbt, data modeling, cloud)Team conversation & culture fitOffer & onboarding
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