Principal Consultant - Data Engineering Lead; DBT

Principal Data Engineer (DBT Lead)

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This range is provided by Intuita. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Role:
Principal Data Engineer (DBT lean)

Salary: £70,000 – up to £95,000 (dependent 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.

Ideally you will have managed a team of engineers with proven success.

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.

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.

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
.

Qualifications &

Experience:

• Extensive hands‑on experience in a business transformation setting, either at enterprise level or in large‑scale delivery.
• Proven…