Senior or Consultant Data Engineering (DBT)

Description

Role: Data Engineer (DBT lean) - Permanent hires considered
Salary: 45000 – up to 69000 (dependent on experience) – Consultant or Senior experience considered.

For our Team lead requirements at Principal Consultant please see our job page and apply for the Data Engineering Lead role :

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 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 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 position calls for 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:

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• Technical Project Ownership: Responsible for the technical direction and execution within your remit and experience 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 the respective field or specialism 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 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 flair. 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.

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• 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; 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, BigQuery, 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 be a key team member of a diverse team of data engineers fostering an environment that promotes professional growth and high performance through shared ideas and mentorship.
  
• Experience working within an Agile delivery team and effectively collaborating with cross‑functional teams.
  

Nice to Have :

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• 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.
  

Whats in it for you

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• We are not a standard consultancy and neither are our benefits – they are enhanced as we pride ourselves on having a people‑first culture which sets us apart.
  
• Salary – cover 45000 to c.65000 per annum (full‑time salary pro‑rata based on hours < 37.5 hr p w.).
  
• Flexible and remote working – flexible hours and part‑time roles.
  
• Health and wellbeing benefits – comprehensive company‑paid medical insurance, free therapy and mental health support via in‑house Mental Health First Aiders plus financial education and consultations.
  
• Training and learning opportunities – mentoring, company‑paid certifications.
  
• Freedom and empowerment – no glass ceilings, reward people as they do great work.
  
• Supportive friendly team – diverse inclusive team, flat structure.
  

Our selection process

If you like the sound of Intuita, apply to join us today! Once you have submitted your application we will be in touch. The timing can vary dependent on the volume of applications and in some cases we may start to review applications prior to the closing date.