Data Engineer

Role Overview

We are looking for a talented Data Engineer to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.

What You Will Do

Build, maintain, and optimize data pipelines for batch and streaming workloads. Develop reliable data models and transformations to support analytics, reporting, and operational use cases. Integrate new data sources, APIs, and event streams into the platform.

Why It Might Be a Fit

2–5+ years of experience as a Data Engineer or similar role. Hands-on experience with Snowflake (mandatory)—including SQL, modeling, and basic optimization. Experience with dbt (or similar)—model development, tests, documentation, and version control workflows.

Requirements

• 2–5+ years of experience as a Data Engineer or similar role
• Hands-on experience with Snowflake (mandatory)—including SQL, modeling, and basic optimization
• Experience with dbt (or similar)—model development, tests, documentation, and version control workflows
• Strong SQL skills for data modeling and analysis
• Proficiency with Python for pipeline development and automation
• Experience working with orchestration tools (Airflow, Dagster, Prefect, or equivalent)
• Understanding of ETL/ELT design patterns, data lifecycle, and data modeling best practices
• Familiarity with cloud environments (AWS, GCP, or Azure)
• Knowledge of data quality, observability, or monitoring concepts
• Good communication skills and the ability to collaborate with cross-functional teams

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion