Data Engineer

The Summit Group; London; Remote; GBP 55,000 - 75,000; Full time

Job summary

A leading company in consumer goods optimization seeks a Data Engineer to join their Technical Customer Operations team. This role focuses on ETL processes, data modeling, and cloud solutions with tools like Snowflake and Power BI. Ideal candidates will possess strong analytical and problem-solving skills and have a solid background in data engineering. The position offers the flexibility of remote work while contributing to impactful data solutions for retail clients.

Qualifications

• Experience in Data Engineering, focusing on data modeling and ETL.
• Proficiency in Snowflake, Azure Data Factory, and Power BI.
• Advanced SQL skills and excellent problem-solving abilities.

Responsibilities

• Design and optimize ETL pipelines using Snowflake and Azure Data Factory.
• Build semantic data models in Snowflake and Power BI.
• Ensure data integrity and accessibility for effective data warehousing.

Skills

Data modeling

ETL processes

Snowflake

Azure

Power BI

Python

SQL

Problem-Solving

Education

Bachelors degree in Computer Science

Masters degree in Computer Science

Job description

Reporting to: Head of Platform & Operations

Main Purpose of Role

This position is a key member of the Technical Customer Operations team. We are looking for a Data Engineer, specializing in data modeling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, and Power BI, with a strong focus on building semantic models and supporting analytics.

Company Description

We work with consumer goods companies to optimize their data sources, drive growth, and deliver actionable insights. Our technology platform 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.

Key Responsibilities:

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

Qualifications:

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.

• Experience:Strong background in Data Engineering, focusing on data modeling, ETL, and Snowflake.
• Skills: Proficiency in Snowflake for data warehousing, including semantic modeling and Python-based stored procedures.
• Azure: Experience with Azure Data Factory and related Azure services.
• Power BI: Hands-on experience with Power BI for creating and managing semantic models to enable business intelligence.
• SQL: Advanced SQL skills, with expertise in query optimization and complex data transformations.
• Problem-Solving:Excellent problem-solving and analytical skills, with the ability to work independently in a remote environment.
• Education:Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Desirable:Experience working in the retail domain and handling retail data models.

Other Requirements:

• Be the best you can be every day.
• Operate in-line with our workplace behaviors and values.
• Take personal responsibility to comply with Health & Safety Regulations.
• Take responsibility for your own personal development and ensure all mandatory training is completed on time.
• Adhere to all General Data Protection Rules and policies (GDPR).
• Regularly read and follow company policies and procedures at all times.
• Duration: Full Time
• Location: UK-based (Remote)
• Work Eligibility:Candidate must possess necessary work permit for the UK