We’re partnering with a growing consultancy delivering high-impact cloud data solutions across a range of industries. As a Data Engineer, you’ll play a hands-on role in building and optimising modern data platforms using Databricks, Snowflake, and leading cloud services (AWS, Azure, GCP).

You’ll work directly with clients to design, implement, and scale data pipelines and analytical environments that support real-time decision making.

Key Responsibilities:

• Build and maintain scalable ETL/ELT pipelines using Databricks and Snowflake
• Design and optimise cloud-native data architectures
• Support migration of legacy data systems to modern cloud platforms
• Collaborate with analysts, engineers, and stakeholders to deliver trusted data solutions
• Ensure performance, security, and compliance across all solutions

What You’ll Bring:

• 3+ years' experience in data engineering or software development
• Strong SQL and data modelling skills
• Hands-on experience with Databricks, Snowflake, and at least one cloud platform (AWS, Azure, or GCP)
• Knowledge of pipeline orchestration, version control, and MLOps is a plus
• Strong communication skills and a consulting mindset