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About the Role We are looking for a Snowflake Data Engineer to help build and maintain their cloud data warehouse and pipelines. This is a hands on role that involves taking ownership of moderately complex data engineering tasks, working closely with senior engineers on architecture decisions and partnering with analysts and data scientists to deliver reliable, well modelled data. Key Responsibilities Design, build and maintain ETL/ELT pipelines feeding into Snowflake Develop and optimise Snowflake data models, including star and snowflake schemas and staging/curated layers Write efficient SQL and use Snowflake features such as Streams, Tasks and Snowpipe for automation Manage data ingestion from APIs, files and databases using tools such as Fivetran, Airbyte or custom scripts Implement transformation logic using dbt or similar frameworks Monitor and optimise warehouse performance, query efficiency and credit/cost usage Implement data quality checks and basic monitoring/alerting for pipeline health Support role based access control, data governance and security within Snowflake Participate in code reviews, follow CI/CD practices and maintain version control via Git Troubleshoot pipeline failures and data quality issues, escalating complex problems as needed Document pipelines, data models and processes for team and stakeholder reference Collaborate with analysts and data scientists to understand data requirements and deliver fit for purpose datasets Technical Skills Required 5 to 7 years of experience in data engineering, including at least 2 to 3 years working directly with Snowflake Strong SQL skills and experience with relational or cloud data warehouses Understanding of dimensional data modelling and ETL/ELT design principles Experience with at least one ELT/transformation tool, dbt preferred Familiarity with a cloud platform (AWS, Azure or GCP) that Snowflake runs on Experience with Git based version control and basic CI/CD workflows Working knowledge of Python or another scripting language for automation Desirable Skills SnowPro Core Certification Experience with Snowflake native features including Streams, Tasks, Snowpipe, Time Travel and Zero Copy Cloning Familiarity with orchestration tools such as Airflow, Dagster or Snowflake Tasks Exposure to data ingestion tools such as Fivetran, Airbyte or Matillion Basic understanding of streaming data concepts Rate Depending on experience, open to discussing with you directly.

What you’ll do

Design, build, and maintain ETL/ELT pipelines and data models within Snowflake to deliver reliable datasets. Monitor warehouse performance and collaborate with analysts and data scientists to meet data requirements.

Requirements

Requires 5 to 7 years of data engineering experience, with at least 2 to 3 years specifically using Snowflake. Proficiency in SQL, dimensional modeling, and transformation tools like dbt is essential.

Listed skills

• Microsoft Azure · Preferred
• SQL · Preferred
• CI/CD · Preferred
• Amazon Web Services · Preferred
• Google Cloud · Preferred
• Git · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Snowflake
• SQL
• ETL/ELT
• dbt
• Python
• Data Modeling
• Git
• CI/CD
• Fivetran
• Airbyte
• AWS
• Azure
• GCP
• Snowpipe
• Airflow
• Data Governance

Job areas

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting