Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior or Consultant - Data Engineering (DBT)

Intuita - Vacancies
Newbury
1 week ago
Create job alert
Overview

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Role: Data Engineer (DBT lean) - Permanent hires considered

Salary: £45,000 - up to £69,000 (dependant on experience) - Consultant or Senior experience considered.

Location: ALL locations considered. Offices in Liverpool or Newbury (UK) for hybrid working and Sibenik (Croatia).

The company

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, prioritise specialist skills and quality above all else.

The role

We are looking for a Data Engineer ideally on a permanent contract basis, to join our Data Engineering team. You will work closely with our Engineering team in support of the development of our high-performing team, applying your engineering expertise to drive business growth and support consultancy-driven projects. This role requires a strong combination of hands-on technical excellence and exceptional consultative skills to steer our teams toward achieving both quality and strategic objectives.

Key Responsibilities
  • Technical Project Ownership: Responsible for the technical direction and execution within your remits and experience against critical business transformations, ensuring sustainability and quality. Work 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 practices, 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 the field and proactively engage with the 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.
A bit about you

Being a consultant at Intuita means something a little different to being a consultant elsewhere. We hire driven individuals who share our passion and approach, bringing their style and flare. We value transparency, quality and integrity, collaboration and teamwork, and a commitment to solving problems as a team. We’re looking for someone with the following experience and qualities, but if you don’t fit exactly and are interested in working with us, get in touch—we hire people, not job specs.

  • Hands-on experience in a business transformation setting, either at enterprise level or in large-scale delivery.
  • Proven experience in data engineering and architecture, focusing on scalable cloud solutions in Azure, GCP or AWS.
  • Data Modelling using Kimball, 3NF or Dimensional methodologies.
  • Analytics Engineering lean, with experience in BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial; deep DBT experience is highly beneficial.
  • Knowledge of core orchestration tools and CI/CD pipelines to improve development efficiency and deployment, including Azure DevOps or GitHub.
  • Experience designing and building operationally efficient pipelines using core cloud components (Azure Data Factory, BigQuery, AirFlow, Google Cloud Composer, PySpark, etc.).
  • Experience modelling data with a medallion-based architecture and curated dimensional models in the gold layer for analytical use.
  • Understanding or use of Unity Catalog alongside core Databricks functionality for metadata management.
  • Understanding of cloud economics, cost management strategies and optimising solutions for customer needs.
  • Experience with infrastructure as code, e.g., Terraform, to automate cloud infrastructure across environments.
  • Certifications in relevant technologies (e.g., Solutions Architect or Data Engineer credentials from Azure, GCP, AWS or Databricks).
  • Ability to be a key member of a diverse team, fostering growth and high performance through shared ideas and mentorship.
  • Experience working within an Agile delivery team and collaborating with cross-functional teams.
Nice to Have
  • Prior experience in a consultancy setting.
  • Knowledge of industries such as financial services, telecoms, ecommerce or retail.
  • Experience building PowerBI semantic models for downstream visualization.
  • Knowledge or experience with data management tools such as Azure Purview or Collibra (data cataloguing, lineage, data quality).
A bit about you

We have a strong ethos of accountability, quality and integrity at Intuita and value collaboration and teamwork, while having fun along the way.

What’s in it for you?

We offer a people-first culture with flexible and remote working. Highlights include:

  • Salary: generally £45,000 to around £65,000 per annum, full-time salary (pro rata for hours less than 37.5h p/w).
  • Flexible and remote working: flexible hours and part-time roles; UK offices in Newbury, London and Liverpool available for use without isolation.
  • Health and wellbeing: comprehensive company-paid medical insurance, mental health support via Spill, and in-house Mental Health First Aiders.
  • Training and learning: mentoring, knowledge sharing sessions and company-paid certifications.
  • Freedom and empowerment: opportunity to own problems and explore new directions; no glass ceilings and flexible recognition of great work.
  • Our team culture: supportive, diverse and inclusive with regular social events and a flat structure.
Our selection process

If you like the sound of Intuita, apply to join us today. We may start reviewing applications before the closing date depending on volume. For support with your application, contact


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior or Consultant - Data Engineering (DBT)

Senior Data Scientist - Pricing

Senior Data Scientist - Pricing

Data Analytics - Principal Consultant

Senior Manager, Financial Services, Data Engineering / Modelling Lead, AI&D, Technology & Trans[...]

Senior Manager, Financial Services, Data Engineering / Modelling Lead, AI&D, Technology & Trans[...]

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.