Snowflake Data Engineer

This is a Remote role with a few in-person meetings in shared co-working spaces on an ad hoc basis.

CEO at Inspiring Interns and Inspiring Search

Company Description

Our client works with consumer goods companies to optimize their data sources, drive growth, and deliver actionable insights. Their technology platform, ClearView, is tailored for Consumer Goods professionals, offering flexibility and scalability. We collaborate closely with clients to achieve their desired results, covering Retail, Out of Home, E-Commerce, and Field Sales.

Role Description

We are looking for 2 Data Engineers, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, Python and Power BI, with a strong focus on building semantic models and supporting analytics.

Key Responsibilities:

• Design and optimize ETL pipelines in Snowflake and Azure Data Factory to streamline data integration and transformation.
• Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting.
• Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations.
• Ensure data integrity and accessibility within Snowflake to support effective data warehousing operations.
• Collaborate with analytics and business teams to align data models with reporting needs and business goals.

Qualifications:

• Strong experience in Data Engineering, with a focus on data modelling, ETL, and Snowflake.
• Proficiency in Snowflake for data warehousing, including semantic modelling and Python-based stored procedures.
• Experience with Azure Data Factory and related Azure services.
• Hands-on experience with Power BI for creating and managing semantic models to enable business intelligence.
• Advanced SQL skills, with expertise in query optimization and complex data transformations.
• Excellent problem-solving and analytical skills, with the ability to work independently in a remote environment.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Desirable: Experience working in retail domain and handling retail data models.
• This role is ideal for a self-driven Data Engineer with strong expertise in Snowflake, Azure, Power BI, and Python, ready to support large-scale, retail-focused data initiatives.

Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Industries

Retail and Transportation, Logistics, Supply Chain and Storage