
Principal Consultant - Data Engineering (DBT)
- Newbury, Berkshire
- £70,000-90,000 per year
- Permanent
- Full-time
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.Key Responsibilities:· Technical Leadership & Mentorship: Guide and mentor a team of engineers, providing technical direction, support and develop 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 specialism, 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 youBeing 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.As a Lead role within our Data Engineering discipline, you'll share these values but also bring your own personality and approach to the role. We're looking for someone with the following experience and qualities, but if you don't fit these exactly and are interested in working for us, get in touch anyway - we hire people, not job specs.
- Extensive hands-on experience in a business transformation setting, either at enterprise level or in large-scale delivery.
- 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 BigQuery (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 DevOps or GitHub
- Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, 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 credentials from Microsoft Azure, GCP, AWS or Databricks.
- Ability to inspire, lead, and manage a diverse team of data engineers, fostering an environment that promotes professional growth and high performance.
- Experience working withing an Agile delivery team and effectively collaborating with cross functional teams
If you like the sound of Intuita, apply to join us today! Once you have submitted your application, we will be in touch. Please be aware that the timing can vary dependent on the volume of applications that we receive for each role and in some cases, we may start to review applications prior to the closing date.If you require any support with your application, please contact