Job Description: Data Engineer (Snowflake & dbt)

Role Overview

We are looking for an execution-focused Data Engineer to build and maintain modular data pipelines. You will use Snowflake and dbt to transform raw data into scalable, analytics-ready assets, working under the guidance of our Lead Data Architect within an agile data engineering pod to support the BI team.

Key Responsibilities

• Pipeline Development: Build and maintain modular ELT pipelines using Snowflake and dbt across staging, intermediate, and mart layers.
• Model Implementation: Translate architectural blueprints into physical Snowflake tables and views using clean dbt SQL logic.
• Code Execution: Write clean, modular, and standards-compliant SQL and dbt code following established team guidelines.
• Data Quality: Implement automated dbt data tests, schema validations, and maintain documentation.
• Git Workflow: Participate in code reviews (PRs) and CI/CD deployment workflows.

Qualifications

• 3–5 years of hands-on data engineering experience.
• Deep expertise in Snowflake (Warehouse configurations, Time Travel, Tasks/Streams).
• Strong dbt proficiency (Macros, incremental models, packages).
• Advanced SQL skills (Query profiling, complex window functions, analytical queries).
• Strong Git skills and experience with structured PR workflows.
• Snowflake or dbt certifications are a major plus.

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Diversity, equity and inclusion | Sustainability | Tieto