Principal Consultant - Data Engineering Lead; DBT

Overview

We are looking for a Principal Data Engineer ideally on a permanent contract basis, to join our talented Data Engineering team. In this key role, you will work closely with our Engineering Director to support the development of our high‑performing team, applying your extensive engineering expertise to drive business growth and lead consultancy‑driven projects.

Technical Leadership & Mentorship:
Guide and mentor a team of engineers, providing technical direction, support and developing their skills to ensure the highest quality outcomes for our clients.

Technical Project Ownership:
Responsible for the technical direction and execution against critical business transformations, ensuring both sustainability and quality. Working closely with Business Analysts to ensure the technical solution meets 100% of the business needs.

Client Engagement:
Act as the technical liaison between the engineering teams and clients, ensuring client satisfaction through well‑thought‑out solutions with longevity in mind.

Quality Assurance & Best Practice:
Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions.

Continuous Improvement:
Stay up to date with the latest developments in technology changes within respective field and or specialisation, and proactively engage with wider engineering team on learning opportunities.

On‑Site Engagement:
Periodically visit client sites to foster and strengthen relationships, ensuring our commitment to partnership and collaborative success is clearly demonstrated.

A bit about you:
Being a consultant at Intuita means something a little different to being a consultant elsewhere; we like to hire driven characters who share our passion and approach, bringing their style and flare. We see ourselves as trusted partners to our clients and believe in transparency, quality and integrity above all else, always pushing the boundaries to deliver the best outcomes for our clients.

We also really value collaboration and teamwork, making sure we work together to solve problems and share learnings as a team.

This position calls for a leader with a strong combination of hands‑on technical excellence and exceptional leadership skills to steer our teams toward achieving both quality and strategic objectives. Ideally you will have managed a team of engineers with proven success.

• Extensive hands‑on experience in a business transformation setting, either at enterprise level or in large‑scale delivery.
• Proven success as a Team Leader, managing a team of Data Engineers on various projects.
• Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS.
• Data Modelling using Kimball, 3NF or Dimensional methodologies.
• Analytics Engineering lean, with experience within Big Query (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience being highly beneficial.
• Depth of knowledge and understanding across core orchestration tools and CI/CD pipelines to enhance development efficiency and deployment effectiveness, including Azure Dev Ops or Git Hub.
• Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, Air Flow, Google Cloud Composer and Pyspark etc.
• Proven experience in modelling data through a medallion‑based architecture, with curated dimensional models in the gold layer built for analytical use.
• Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management.
• Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.
• Experience with infrastructure as code, proficiency using tools such as Terraform to automate and manage cloud infrastructure, ensuring both consistency and scalability across environments.
• Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer…