Snowflake Data Engineer
Listed on 2026-10-19
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IT/Tech
Data Engineering, Data Warehousing
- 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
- 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
- Commercial experience working with Snowflake in production environments
- Snow Pro 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, Dev Ops and Infrastructure-as-Code tools such as Terraform
- Experience supporting analytics, reporting, machine learning or AI-focused workloads
- Excellent communication and stakeholder management skills
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.
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