Data Engineer – Snowflake (Remote)

About the role

As a Data Engineer specializing in Snowflake, you will build and maintain scalable ELT pipelines and data models that turn raw data into actionable insights. This fully remote position lets you work with cutting‑edge technologies and collaborate with a global team of top‑tier engineers.

Key responsibilities

• Design, implement, and optimise robust ELT workflows using Snowflake and dbt for large‑scale datasets.
• Develop and maintain modular data models, applying software‑engineering best practices such as version control and automated testing.
• Orchestrate pipeline dependencies and schedules with Apache Airflow to ensure data freshness and reliability.
• Write and tune high‑performance SQL queries to leverage Snowflake’s architecture.
• Collaborate with stakeholders to define data requirements, schema designs, and quality standards.
• Monitor pipeline health, identify bottlenecks, and ensure continuous data delivery.

Required profile

• 4+ years of experience in data engineering, focusing on modern data‑stack technologies.
• Proven expertise building and optimising ELT pipelines and data models with Snowflake.
• Proficiency with dbt for data transformation and complex model management.
• Hands‑on experience using Apache Airflow for workflow orchestration.
• Advanced skill in writing and optimising complex SQL queries.
• Strong command of English.

Required skills

• Snowflake
• dbt
• Apache Airflow
• SQL

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Provided hardware and software setup for home office.
• Flexible scheduling to create your own work hours.
• Paid parental leave, vacation days, and national holidays.
• Innovative, multicultural environment with global top‑talent collaboration.
• Mentorship, promotion pathways, skill‑development programs, and diverse growth opportunities.