You’ll lead service delivery efforts for smaller teams or projects, mentor junior consultants, and engage directly with clients to ensure their needs are met.
Leading client engagements within a support-focused environment, ensuring proactive service delivery and adherence to SLAs.
Providing technical leadership across supported applications, balancing hands-on issue resolution with strategic oversight.
Mentoring and guiding junior consultants, helping them navigate support processes and troubleshoot effectively.
Designing and optimising data solutions (e.g., pipelines, source systems) using tools such as Snowflake and Matillion, with a focus on maintaining and enhancing live environments.
Driving documentation and knowledge sharing, ensuring continuity and resilience across the support team.
Supporting long-term client relationships, contributing to solution stability, performance improvements, and ongoing enhancements post-deployment.
In your first 3–6 months, success might look like:
Confidently managing client relationships and expectations
Driving proactive optimisation and performance improvements
Establishing documentation and redundancy plans to ensure seamless support
Requirements
7+ years of professional experience in data engineering for analytics
Experience in service delivery and client engagement
Strong knowledge of cloud data warehousing (preferably in Snowflake)
Hands-on experience with ETL processes and tools (preferably Matillion)
Familiarity with ticketing tools like ServiceNow, Jira, and an ITIL certification (preferred)
Understanding of data modelling (Kimball methodology) and warehousing concepts
A proactive, mentoring mindset and dedication to team success
This role might not be the right fit if you’re:
Not proactive or collaborative in a fast-paced, client-facing environment
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