Senior Data Engineer (Snowflake)

Location: London (Hybrid – typically 2–3 days per week on client site in London & the Southeast)

Employment Type: Full-time, Permanent

Salary: Up to £106,000 (OTE) + Benefits

About the Company

Our client is a leading next-generation technology consultancy, accelerating digital transformation across data, AI, and cloud . They’ve built a market-leading reputation for helping global organisations develop high-performing data and technology teams while delivering scalable, innovative solutions.

They’re now expanding their advanced delivery function , a high-impact team working across industries to deliver complex data projects, develop new services, and drive technical excellence.

The Opportunity

We’re seeking a highly skilled Senior Data Engineer (Snowflake) to join this dynamic and growing team. This role offers the chance to lead data engineering delivery across a range of client projects, designing and optimising cloud-based data architectures, mentoring team members, and working closely with stakeholders to deliver high-quality, scalable solutions.

You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation .

This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both technical problem-solving and team leadership.

Key Responsibilities

• Lead technical delivery of data engineering projects, ensuring high-quality and scalable outcomes.
• Design and build robust cloud-based data pipelines and architectures.
• Collaborate with multidisciplinary teams to define requirements and shape technical solutions.
• Establish and maintain strong client relationships, contributing to successful delivery and long-term partnerships.
• Provide mentorship and line management to junior developers and engineers.
• Promote a culture of engineering excellence, collaboration, and continuous improvement.
• Engage in ongoing professional development, including funded certifications to stay ahead in emerging technologies.

Key Skills & Experience

• Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP).
• Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred.
• Technical Proficiency: Advanced Python and SQL skills for ETL/ELT workflows and data transformations.
• Cloud & Automation: Familiarity with CI/CD pipelines and automated testing for data workflows.
• Governance & Security: Understanding of data governance frameworks and security best practices.
• Leadership: Proven experience guiding delivery teams, mentoring others, and ensuring alignment to technical best practices.

Why Apply?

• Work with cutting-edge data technologies and industry-leading platforms.
• Hybrid model with client exposure across London and the Southeast.
• Ongoing learning and funded certifications to support your career growth.
• Join a collaborative, forward-thinking team shaping the future of data and cloud delivery.
• Be part of an ambitious consultancy driving real change across data, AI, and cloud innovation.