Full job descriptionData Engineer
Up to £60,000
We are partnering with a rapidly expanding consultancy seeking a Snowflake Data Engineer to play a key role in delivering enterprise-scale data solutions for a diverse client base. This is an opportunity to help organisations unlock greater value from their data through cloud-based platforms and modern engineering practices.
As part of a highly collaborative consulting team, you will be involved in designing and developing scalable data solutions within Snowflake, supporting clients with their reporting, analytics and data transformation initiatives. You will have the opportunity to work with a variety of industries, engage with stakeholders at all levels and gain exposure to a broad range of technologies and business challenges.
This position would suit someone who enjoys solving complex technical problems, delivering high-quality data solutions and working closely with clients to understand and overcome their data challenges.
Key Responsibilities
*Design and develop scalable data pipelines within Snowflake.
*Build and maintain ETL processes using SQL and Python.
*Create and enhance data models to support reporting and analytics
*Deliver robust and reusable data solutions tailored to client requirements.
*Support data platform implementations, migrations and integrations across a range of source systems.
*Optimise Snowflake environments to improve performance.
*Collaborate with clients, project teams and stakeholders throughout the delivery lifecycle.
Skills & Experience
*Commercial experience as a Data Engineer working with cloud-based data platforms.
*Strong hands-on experience with Snowflake.
*Excellent SQL and Python skills.
*Experience building and maintaining ETL/ELT pipelines.
*Experience working with AWS, Azure or GCP.
*Strong understanding of data modelling and data warehousing principles.
What’s On Offer?
*Salary up to £60,000.
*Hybrid working arrangement.
*Opportunity to work on a variety of client projects across multiple industries.
*Exposure to modern cloud, data and AI technologies.
*Ongoing training, certifications and professional development opportunities.
*Clear progression pathways within a growing consultancy practice.
*Collaborative and supportive team environment.
*Opportunity to work alongside experienced data professionals on large-scale transformation programmes.