Senior Snowflake Data Engineer
Job Title: Senior Snowflake Data Engineer
Location: Sutton (2 days in the office - Tuesdays and Thursday (can also do 1 day in Sutton and 1 day in London))
Salary/Rate: £400-450 per day inside IR35
Start Date: August
Job Type: Initial 12 month contract
Company Introduction
We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Senior Data Engineer to join their team in Sutton on a hybrid basis. Our client requires a candidate that has excellent experience managing a Snowflake estate.
Job Responsibilities/Objectives
This role involves leading complex research, design, and software development activities within a defined functional area. It contributes directly to project plans, schedules, and development methodologies for cross-functional software products.
The role includes designing software solutions—often spanning multiple systems—mentoring more junior team members, and collaborating with users and customers to translate requirements into effective technical solutions.
• Write and review detailed specifications for the development of complex system components.
• Collaborate closely with team members in an Agile environment to understand complex product requirements and translate them into software and data designs.
• Follow established development processes, applying coding standards and security best practices, and actively participate in code reviews.
• Troubleshoot and resolve complex technical issues, including debugging and defect resolution.
• Contribute to the design and evolution of complex data models.
• Act as the primary point of expertise for supporting and maintaining the existing Data Lakehouse platform.
Required Skills/Experience
The ideal candidate will have the following:
• Strong proficiency in data manipulation languages, including performance optimisation techniques.
• Strong understanding of both normalised and dimensional data modelling principles.
• Strong knowledge of multiple data storage systems and architectures.
• Expertise in Python development, along with query languages including SQL and NoSQL.
• Solid knowledge of DevOps practices, with hands-on experience using GitHub Actions.
• Experience with AWS services such as S3, Lambda, SQS, SNS, and IAM is desirable.
• Proven knowledge and hands-on experience with ETL processes and data synchronisation pipelines.
• Hands-on experience with Snowflake (or similar cloud data warehouse platforms) is preferred.
• Strong knowledge of Terraform, Linux, and .NET technologies.
• Excellent oral and written communication skills.