Data Engineer

Gregory Group
Cullompton
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Cullompton

(with Hybrid Working)

As a result of continued growth, we have a vacancy for aData Engineerto join the Gregory Group Technology Team. This is an exciting opportunity to make your own within the Gregory Group. 

The position of Data Engineer involves:

Creating and maintaining database schemas for use in our data warehouse, in-house applications and integrations. Creating and maintaining existing and new ETL processes using SQL Stored Procedures and Azure Data Factory. Contributing to the design, maintenance and development of a high quality, robust and performant centralised data source comprising data from multiple business systems, both cloud-based and on-premise – which supports business intelligence and analysis development. Managing, monitoring and optimising both on-premises and Azure SQL servers including indexing, maintenance plans and query / performance optimisation. Automating data retention policies and other housekeeping activities to optimise performance and meet compliance requirements. Designing and delivering business intelligence and reporting solutions using both traditional (MS SQL, SSRS) and modern (BI) tools, technologies and methods. Continuous improvement of data schemas, reports, dashboards and business intelligence solutions. Maintaining accurate documentation of solutions and supporting cross-skilling across the wider Data Services team. Delivering customer-specific requirements as part of an implementation / onboarding project or as part of business-as-usual. Understanding our people and processes as well as business problems and opportunities and using this contextual knowledge to translate business requirements into technical solutions tailored and appropriate for the audience. Consulting as part of project processes to define data, reporting and BI requirements, suggesting enhancements as appropriate. Highlighting opportunities based on your understanding of the business and knowledge of our data for where data, analytics or BI solutions can help to improve business performance. Working with the wider Group Technology team to ensure smooth running of systems and relevant dependent services such as integration and application development. This will include working with our infrastructure and security team to ensure data systems are secure and performant. Working closely with our PMO function and assigned Project Manager’s, updating on task progress and escalating risks or dependencies where necessary. Using our project and task management tool, JIRA, ensuring that tasks as prioritised and kept up to date for visibility across the team and PMO.

Essentials Skills required for aData Engineer:

Minimum of 3 years’ experience in a similar data engineering / development type role. Experience of Azure Data Factory or other similar cloud-based modern data tools. High aptitude for data schema and ETL design and confident working with data. High degree of proficiency with MS SQL, SSRS. Experience of using Power BI or other similar BI tool desirable. Experience of using modern cloud data platforms desirable. Highly motivated with a curiosity to understand business process and problems to identify opportunities. Critical thinking and analytical mindset to problem solving. Excellent written and verbal communication skills. Full UK driving licence as occasional travel between Gregory Group locations may be required.

Why Gregory Distribution?

Salary for Data Engineer is from £43,pa - £48,pa, dependant on experienceHours of work are Monday to Friday 08:30hrs to 17:00hrs.Opportunity to develop your career within an expanding business.Additional holiday purchasing scheme*Retail discounts with Hapi*Retail Trust Wellbeing Support*Opportunity to develop your career within an expanding business.Excellent holiday allowance and company benefits.Life assurance, pension and sickness scheme*Christmas Savings Club*Black Circle Tyre discount*Leading industry qualifications*Medical Reimbursement*This vacancy is not entitled to the employee referral scheme.Free Uniform.Strong culture of teamwork.

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.

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.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.