Data Engineer (Snowflake)

Computacenter PLC; City of Westminster; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading IT services organization in the UK is seeking a Data Engineer to join a collaborative team. You will be responsible for designing and implementing data solutions using Snowflake on cloud platforms like Azure and AWS. The ideal candidate should have proven experience in data warehouse solutions, strong ETL and data integration skills, and familiarity with Agile methodologies. This position offers the opportunity to work on cutting-edge data solutions for major customers in a dynamic environment.

Qualifications

• Proven experience with enterprise‑scale data warehouse solutions using Snowflake.
• Strong experience in ETL development and data integration.
• Hands-on experience with Azure and AWS cloud environments.

Responsibilities

• Design and implement data solutions using Snowflake across cloud platforms.
• Build and maintain scalable data pipelines and ETL processes.
• Collaborate with teams to define and deliver robust data solutions.

Skills

Snowflake architecture

ETL development

Data modelling

SQL

Python

Java

Azure cloud

AWS cloud

Agile methodologies

Infrastructure automation

Education

Relevant certifications (e.g., SnowPro Core)

Tools

Terraform

CloudFormation

Job description

As a Data Engineer, you'll be part of a collaborative, high‑performing team that values continuous learning, professional excellence, and technical innovation. You'll contribute to major customer programmes and benefit from the support of a well‑established knowledge‑sharing community.

Responsibilities

• Design and implement data solutions using Snowflake across cloud platforms (Azure and AWS)
• Build and maintain scalable data pipelines and ETL processes
• Optimise data models, storage, and performance for analytics and reporting
• Ensure data integrity, security, and best practice compliance
• Serve as a subject matter expert in Snowflake engineering efforts within delivery teams
• Collaborate with internal teams and customer stakeholders to define and deliver robust data solutions
• Participate in customer meetings to present and discuss technical solutions
• Identify and escape technical risks where necessary

Qualifications

• Proven experience designing and delivering enterprise‑scale data warehouse solutions using Snowflake
• In‑depth understanding of Snowflake architecture, performance optimisation, and best practices
• Strong experience in ETL development, data modelling, and data integration
• Proficient in SQL, Python, and/or Java for data processing
• Hands‑on experience with Azure and AWS cloud environments
• Familiarity with Agile methodologies such as Scrum, Kanban, or Lean
• Excellent communication skills – able to articulate complex technical topics to diverse audiences
• Ability to troubleshoot data issues and ensure data reliability and consistency
• Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) and DevOps practices is a plus
• Relevant certifications such as SnowPro Core, AWS Certified Data Engineer – Associate, or Azure Data Engineer are highly desirable

Company Overview

At Computacenter, you'll join one of the most respected and capable IT services organisations in Europe. Group Professional Services (GPS) is a thriving division made up of over 1,000 expert consultants and engineers across the UK, Germany, France, and India. We work with leading global clients to deliver cutting‑edge infrastructure, cloud, and data solutions that shape the digital future. Computacenter is a leading independent technology and services provider, trusted by large corporate and public sector organisations. We are a responsible business that believes in winning together for our people and our planet.

We help our customers to source, transform and manage their technology infrastructure to deliver digital transformation, enabling people and their business. Computacenter plc is a public company quoted on the London FTSE 250 (CCC.L) and employs over 20,000 people worldwide.