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.
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.
Perks of working at this company
As a rapidly expanding technology start-up, working here is both exciting and demanding. It’s also great fun. Being part of this dynamic team and a critical part of its success will be personally rewarding as well as offering great career progression in the future organization as it evolves.
We have operations in both UK and North America and plans to expand further over the coming 2 years, offering many opportunities for the right candidates as we grow. We fully expect extraordinary candidates for this role to become our company's leaders in the future.
Flexible working has been a necessity over the past 12 months in many industries. However, we have always, and will always embrace flexible working. We have a “work hard, play hard” attitude to the business, and the personal benefits this flexible working brings to our employees.
Additional notes
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Created on 16/07/2025 by TN United Kingdom
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