Snowflake Data Engineer

Inspiring Search; England; Remote; GBP 40,000 - 60,000; Full time

Job summary

A dynamic technology start-up is seeking 2 Data Engineers to optimize data processes and support retail operations. Candidates should excel in data modelling, ETL, and tools like Snowflake and Azure to drive impactful analytics. This remote role offers flexibility, a rewarding work environment, and significant career progression opportunities.

Benefits

Flexible working conditions

Career progression opportunities

Dynamic team environment

Qualifications

• Strong experience in data engineering focusing on data modelling and ETL.
• Proficiency in Snowflake, Python for data workflows.
• Hands-on experience with Power BI for analytics.

Responsibilities

• Design and optimize ETL pipelines in Snowflake and Azure.
• Develop Snowflake stored procedures using Python.
• Collaborate with teams to align data models with business goals.

Skills

Data modelling

ETL processes

Python

Power BI

Advanced SQL

Education

Bachelor’s degree in Computer Science

Master’s degree in a related field

Tools

Snowflake

Azure Data Factory

Job description

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This range is provided by Inspiring Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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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.

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

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 handing 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.

What are the perks of working at this company?

As a rapidly expanding technology start-up, working here is both exciting and demanding. Its 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. Indeed, we fully expect extraordinary candidates for this role, to become our companies 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.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Retail and Transportation, Logistics, Supply Chain and Storage

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