Data Engineer

Gregory Group
Cullompton
1 year 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.

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.

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.