Data Consultant - Data Engineer (contractors & perm opps)

Workable
Newbury
3 weeks ago
Create job alert

🏢 All our office locations considered: Newbury & Liverpool (UK); Šibenik, Croatia (considered)

 

📣We're on the hunt for builders👷🏽.
No, we've not ventured into construction in our quest to conquer the world, rather a designer and builder of systems for all things data related where we are conquering the Data World.

We can offer an interesting insight into projects spanning a variety of sectors, which may include industries such as telecoms, insurance, finance and mortgages.

🦸‍♀️ First and foremost we seek strong Consultants; so if you are ready to explore our dynamic team where you can truly act as an expert in your field in support of our clients and their challenges in the world of data and technology, read on!

 👥 The Team

We’re Intuita – a fast growing consultancy that’s making waves in both the consultancy and technology space. With our ambitious goals for 2024 and beyond, we are looking for talented individuals to complement the team of experts we already have working across our business, becoming a pivotal part of our journey, to not just meet, but continuouslyexceedour client expectations!

📝 The Role

We are seeking a skilledData Engineer(s)to join our team, ideally initially on a contract basis, however longer term there is potential to discuss longer term opportunities in the shape of a permanent consultant opportunity. We can move fast and adapt our selection period to our needs. With this in mind,immediate or quick availabilityis ideal, alongside permanent rights to work are essential, alongside other factors we'll consider.

This is a typical Data Engineering role in that day to day you will be ingesting large data sets for our clients, which involves designing data pipelines, data integration and transforming data into models for downstream consumption.

Key outputs for the role

• Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation.

• Data Modelling using Kimball, 3NF or Dimensional methodologies

• Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server.

• Design and implement metadata driven pipelines to automate data processing tasks.

• Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions.

• Ensure data quality, integrity, and security throughout the data pipeline.

• Troubleshoot and resolve any issues or errors in the data pipelines.

• Stay updated with the latest Azure technologies and industry best practices to continuously enhance data engineering capabilities.

📣 Looking at our current pipeline of work, we can also consider those with anAnalytics Engineeringlean, with experience withinBigQuery (GCP)with data modelling in DBT andmobile/telecoms industry experiencewould be beneficial. 📣

👩🧑🏾‍🦲A bit about YOU!

As much as we just love working with great, fun people, there are some obvious requiredSkills and Experiencewe are going to be seeking out. For this role we'd be expecting to see:

• Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server.

• Proficiency in SQL and Python languages.

• Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF).

• Familiarity with building metadata driven pipelines.

• Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet.

• Strong understanding of IT concepts, including security, IAM, Key Vault, and networking.

• Exposure to Apache Airflow and DBT is a bonus.

• Familiarity with agile principles and practices.

• Experience with Azure DevOps pipelines.

😁The "Nice to Haves":

• Certification in Azure or related technologies.

• Experience with other cloud platforms (e.g., AWS, Google Cloud).

• Knowledge of big data technologies

• Familiarity with data governance and compliance frameworks.

👩🏽‍💼Your characteristics as a Consultant will include:

• Driven by delivering quality work, with a great eye for detail

• Takes accountability and ownership of tasks, and finds the best way to solve problems

• Excellent communicator who can make sense of and communicate complex ideas to audiences of differing levels of seniority and technical ability

• Ability to quickly understand client context and demonstrate expertise in their business

• Relationship builder, with the ability to motivate and engage effectively to build trust with clients and colleagues.

• An interest in industry trends, emerging technologies, and client’s businesses

• Ability to take the lead and drive initiatives independently

If you don’t fit the above criteria exactly but are interested in working for us, get in touch anyway!  – we hire people, not a job spec!


❔ What’s in it for you?

  • 💷 Salary: £40,000 - £68,000 per annum DOE
    OR contractor day rates, Outside IR35 can to be discussed in person forexperiencedEngineers with good availability.
  • 🏠 (Really) flexible and remote working – we don’t mind when, where or how you work; you are trusted to work in the way that suits you best.
  • 🧠 Genuine care and support for your health and wellbeing – free therapy sessions, financial education, birthday treats and much more.
  • 🚀 Incredible training and learning opportunities – you’ll be surrounded by the best in the business and encouraged to keep growing.
  • ✨ Freedom and empowerment to own problems and explore new ideas – we allow our consultants to actually be consultants, not just bodies.
  • 🧑‍🤝‍🧑 A supportive, friendly team – we work hard and enjoy spending time together, whether it’s in-person at socials or via silly Slack conversations.
  • 🐶 Dog friendly offices – we’re a team of dog lovers, so we’ve made our offices dog friendly!

Longer term our permanent hires attract the following key benefits as well as lighter, wider perks and of course a welcoming, supportive environment in which to develop and thrive is our best offering!

📧 If you require any support with your application, please contact 

Apply for this job


Related Jobs

View all jobs

Data Consultant - Data Engineer (contractors & perm opps)

Lead Data Consultant

Data Analytics Trainer

Data Scientist - French speaking

Azure Data Engineer

Senior Data Science Consultant, Customer Data & Technology

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.