Principal Consultant - Data Engineering DBT

Role: Principal Data Engineer (DBT lean)Salary: £70,000 - £90,000 (dependant on experience)Contracting and Permanent hires considered Location: ALL locations considered: We have offices in Liverpool or Newbury office UK for Hybrid working and Sibenik (Croatia)Let us introduce ourselves We're Intuita, a new kind of data partner. We're a collective of data-driven people ready to cut through complexity to solve business problems in a human-centric and sustainable way. We provide pragmatic end-to-end services, products and technologies combined with straight-talking strategic direction to unlock the true value of data and drive transformational change. Established in 2011 as a different player to the corporate data world, our ethos is to do the right thing, even if it's not the easy thing; to build partnerships and relationships based on honesty and transparency; and to prioritise specialist skills and quality above all else.?? The role 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. 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 Nice to Have:· Prior experience in a consultancy setting, demonstrating the ability to navigate the unique challenges and dynamics of consulting with various clients and industries.· Knowledge or specialisation in specific industries such as financial services, telecoms, ecommerce or retail, which can help tailor data solutions more effectively to client needs.· Experience in building PowerBI semantic models for downstream visualisation consumption · Knowledge and or experience in data management tools such as Azure Purview or Collibra, with exposure to data cataloguing, lineage, and data quality standards. A bit about youWe have a strong ethos of accountability, quality and integrity at Intuita, and like to hire people who believe in this too.