Data Engineer

Consortium Professional Recruitment
Hessle, East Riding of Yorkshire, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Telford, Shropshire, SY2 5TN, United Kingdom
£430 – £483 pd

Data Engineer

South Norfolk and Broadland Council Whitlingham, Norfolk, United Kingdom
£42,287 – £47,191 pa

Data Engineer

hireful Bristol, Bristol (county), United Kingdom
£50,000 – £55,000 pa Hybrid

Data Engineer

hireful Devon, United Kingdom
£50,000 – £55,000 pa

Data Engineer

ALH Recruitment Huntingdon, Cambridgeshire, United Kingdom

Data Engineer

Kids Planet Day Nurseries Broomedge, Cheshire, United Kingdom
On-site
Posted
3 Apr 2026 (Last month)

Location: Hessle

Salary: £50,000–£60,000 depending on experience

Contract Type: Permanent

We’re looking for a Data Engineer with experience in Business Intelligence to join a forward-thinking organisation modernising its data ecosystem. This role is ideally suited to someone operating at a strong mid-level, looking to deepen their technical capability while gaining exposure to more advanced data engineering and architectural concepts.

As a Data Engineer, you’ll work with data from systems such as SAP, Salesforce and production environments, helping to ensure it is connected, structured and ready to support meaningful insight across the business. This is an opportunity to step into a role where you can build on solid foundations, while being challenged and supported to grow into a more senior position.

Key Responsibilities as a Data Engineer:

Design, build and maintain data pipelines using Azure Data Factory, with increasing ownership as you develop in the role

Work with stakeholders and technical colleagues to support the development of scalable, reliable data models

Contribute to the ongoing development of the data platform, including data lakes and integration of sources such as SAP, Salesforce and production systems

Collaborate with the BI Developer to deliver accurate and engaging Power BI dashboards and reports

Support data governance, data quality and best practice initiatives across the business

Play an active role in improving how data is used across departments, helping to turn data into clear, actionable insight Skills and Experience:

Experience working with Azure Data Factory and cloud-based data environments

Strong SQL skills for querying, transformation and optimisation

Experience building or supporting data pipelines and ETL processes

Exposure to data modelling and data warehousing concepts

Working knowledge of Power BI or similar BI tools

Ability to engage with stakeholders and translate business requirements into data solutions

A proactive approach, with an interest in developing into a more senior or lead-level role over time Desirable Experience:

Exposure to enterprise data sources such as SAP, Salesforce or production systems

Awareness of data governance, data quality or data privacy standards

Experience contributing to improvements in data processes or standards

Interest in mentoring, knowledge sharing, or taking on increased responsibility Why This Role?

This is an opportunity to join a business investing heavily in its data and analytics capability, where data is becoming central to decision-making and performance. You’ll work with modern Azure technologies, a range of complex data sources, and a team that values both technical quality and practical business impact.

For someone looking to move beyond pure execution, this role offers genuine scope to grow. You’ll gain exposure to data architecture, platform development and cross-functional collaboration, with the opportunity to take on greater ownership and responsibility as your experience develops.

Consortium is delighted to represent this opportunity exclusively and welcomes applications from candidates who are ready to take the next step in their data engineering career.

Consortium Professional Recruitment Ltd are a professional level recruitment consultancy specialising in the delivery of high relevance recruitment services on behalf of our clients across the UK. We regularly receive a high volume of applications, which can make providing individual feedback challenging. If you have not received a response within 14 days, your application has unfortunately been unsuccessful on this occasion. We will retain your details for future opportunities unless you advise otherwise. To learn more about our services, please visit (url removed)

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.