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.
