Senior Analytics Engineering Consultant

Senior Analytics Engineering Consultant

Remote (UK)

Up to £90,000

This is an opportunity to join a specialist data and analytics consultancy delivering impactful projects across cloud, data engineering, and business intelligence. You'll combine hands-on technical delivery with client-facing consulting, giving you real ownership of solutions and the chance to influence business outcomes.

The Company

They are a growing analytics consultancy that helps organisations modernise their data and reporting capabilities through cloud technologies and modern data platforms. Their work spans data engineering, business intelligence, analytics strategy, and solution delivery for a broad range of clients. They foster a collaborative environment focused on technical excellence, continuous learning, and high-quality client outcomes.

The Role

You will lead the delivery of analytics and data engineering projects while acting as a trusted advisor to clients.

Responsibilities include:

• Delivering and leading analytics, business intelligence, and data engineering projects.
• Designing and implementing scalable cloud-based data solutions.
• Building data models and transformation pipelines using modern data stack technologies.
• Developing dashboards, reporting solutions, and data visualisations.
• Leading client workshops, technical discussions, and solution design sessions.
• Defining solution architectures and translating business requirements into technical outcomes.
• Managing project risks, resolving blockers, and ensuring successful delivery.
• Mentoring colleagues and contributing to internal best practices and capability development.
• Supporting innovation and the adoption of new technologies across projects.

Your Skills & Experience

• Strong commercial experience with Google Cloud, BigQuery, dbt, and Looker.
• Experience delivering analytics, business intelligence, or data engineering projects in a consulting environment.
• Advanced SQL, data modelling, cloud data warehousing, and database design expertise.
• Experience with software engineering practices including Git and CI/CD.
• A Google Cloud Data Engineer certification or a willingness to work towards one.
• Strong stakeholder management and communication skills.
• Ability to manage multiple projects and priorities effectively.
• Experience with tools such as Snowflake, Fivetran, Airbyte, Segment, Power BI, or similar technologies would be advantageous.