Snowflake Data Engineer - London (Hybrid) - Snowflake - AWS/Azure/GCP - Up to £60,000
Looking to take your Snowflake career to the next level?
Join a leading Data & AI consultancy delivering large-scale cloud, analytics and AI transformation programmes for some of the world's most recognised organisations. You'll work on complex Snowflake projects, helping businesses modernise their data platforms while building solutions that power advanced analytics, machine learning and AI initiatives.
Working alongside highly experienced Snowflake, Data and Cloud specialists, you'll gain exposure to enterprise-scale projects, cutting-edge technologies and structured career development within a rapidly growing Data & AI practice. If you're looking for an opportunity to deepen your Snowflake expertise, gain exposure to AI-driven initiatives and accelerate your career, this could be the ideal next step.

You Will Work With
Designing and building scalable data solutions on Snowflake
Developing robust ETL/ELT pipelines using SQL, Python and Snowflake-native technologies
Creating trusted, AI-ready data products for analytics and machine learning use cases
Supporting cloud migration and data modernisation programmes
Working with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables
Optimising Snowflake performance, scalability and cost efficiency
Implementing data governance, security and access controls
Contributing to CI/CD, automation and Infrastructure-as-Code initiatives
Collaborating with technical and business stakeholders across the full project lifecycle
Building data platforms that support advanced analytics, AI and business-critical decision making

Benefits

Hybrid working model
Exposure to enterprise-scale Data, Analytics and AI programmes
Work with modern cloud and data technologies
Structured career development and certification support
Opportunity to work alongside highly experienced Data & AI specialists
Diverse and challenging projects across multiple industries
Clear progression opportunities within a growing practice

Key Experience
Commercial experience working with Snowflake in production environments
SnowPro Core Certification
Strong SQL and Python skills
Experience building data platforms on AWS, Azure or GCP
Hands-on experience with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables
Strong understanding of ETL/ELT, data warehousing and data modelling principles
Experience optimising Snowflake workloads for performance and scalability
Knowledge of data governance, security and role-based access controls
Exposure to CI/CD, DevOps and Infrastructure-as-Code tools such as Terraform
Experience supporting analytics, reporting, machine learning or AI-focused workloads
Excellent communication and stakeholder management skills

Interested?
If you're looking to work on enterprise-scale Snowflake projects, gain exposure to AI-driven initiatives and accelerate your career within a growing Data & AI practice, we'd love to hear from you.
Apply now or send your CV directly. Interviews are already underway, so early applications are encouraged.