SQL Data Engineer - Azure Integration | Hotel Chocolat

Datatech
Hertfordshire, United Kingdom
Last week
£50,000 – £65,000 pa

Salary

£50,000 – £65,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
27 May 2026 (Last week)

Benefits

Competitive salary Company benefits

SQL Data Engineer - Azure Integration | Hotel Chocolat

Hybrid working - 2 Days per week in office Hertfordshire/Cambridgeshire borders & Home/Remote

Negotiable DoE £50,000 to £65,000 plus benefits

Job Reference J13125

No sponsorship available for this opportunity

As we continue our mission to make people and nature happy through chocolate, we're looking for a SQL Data Engineer to join our IT Team on a permanent basis.

ROLE OVERVIEW

Reporting to the Senior Data Manager, the SQL Data Engineer will play a key role in the organisation's data transformation programme, working across SQL Server, Azure Integration Services, data warehousing and enterprise data architecture.

You will be responsible for helping shape Logical and Canonical Data Models (LDM/CDM), supporting the migration of legacy systems into a modern, scalable data environment and building high performance integration solutions across multiple business systems.

The role is responsible for ensuring the optimal operation and performance of data pipelines across a range of business applications, whilst supporting the development of a centralised Single Source of Truth strategy.

Beyond hands on engineering, you will act as a bridge between technical teams and the wider business, translating complex technical concepts into practical solutions and supporting the ongoing integrity, quality and reliability of enterprise data assets.

JOB ROLE AND RESPONSIBILITIES

·Collaborate with the Data Architect to design and deploy LDMs and CDMs, facilitating the decoupling of legacy core systems from modern SaaS endpoints

·Design, deploy, and monitor event-driven integration patterns using Azure Logic Apps, Functions, and Service Bus to manage transactional data via Change Data Capture (CDC)

·Develop data models and reports to meet business needs, proactively working with the business to ensure they are created to maximise the opportunity and functionality available

·Manage the migration of disparate data flows into a centralised "Single Source of Truth," ensuring consistency across datasets, dashboards, and reporting assets.

·Architect and maintain robust data quality solutions - including mastering, cleansing, and validation protocols, to ensure high-fidelity data across environments

·Act as a technical liaison for business stakeholders, ensuring that data assets remain synchronised with evolving operational requirements

·Support the internal data consumer community by establishing and enforcing data standards and providing technical guidance to promote self-service capabilities.

SKILLS AND EXPERIENCE

Essential

·Expert-level T-SQL with experience in Microsoft SQL Server, specifically the extraction and optimisation of data from complex legacy environments.

·Hands-on experience with the Azure AIS suite, including Logic Apps, Azure Functions, and Service Bus (Topics and Subscriptions)

·Comprehensive understanding of normalisation, LDM, and CDM concepts, with a proven ability to visualise data flows that satisfy complex business logic.

·Experience with Change Data Capture (CDC) or Change Tracking to manage delta loads effectively.

Desirable

·Prior experience within WMS, ERP or large-scale retail replenishment environments

·Experience operating within structured project frameworks to deliver scalable data solution

·Demonstrated ability to translate complex technical architectures into professional presentations for non-technical leadership

Who are we?

We're one of the UK's favourite premium chocolate brands, with a range of products spanning luxury gifts, alcohol, and our pioneering drinking chocolate system, the Velvetiser™.

We're market leaders in the industry. What began as an online-only business grew to over 160 stores across the UK, and we're still growing with stores opening in the US. Today, we're multi-category, multi-channel, and multi-territory, and our customers, colleagues, cacao farmers, and suppliers all benefit from the success we make together.

As well as a competitive salary and a range of company benefits, you'll receive 50% discount on all products, and a 70% discount for you and your guests when you stay at our Rabot Estate hideaway on the paradise island of Saint Lucia.

Here at Hotel Chocolat, we've adopted hybrid working. This means you'll ideally join us on site for two days a week, and for the other three days - you can work from wherever you like! The on-site location for this role is our support office, Mint House', in Royston, Hertfordshire. Our home from the very beginning, it's just off the A505 and 10 minutes' walk from Royston train station, with direct rail links to London King's Cross.

If you are interested in this exciting new opportunity, please make an application via our recruitment partner, Datatech Analytics at (url removed) stating the role you are applying for

Related Jobs

View all jobs

Data Analytics Engineer

Applause IT Recruitment Ltd Birmingham, West Midlands (county), United Kingdom
Hybrid

Head of Integration, Data & GenAI Engineering

AJ Bell M53Ee, M5 3EE, United Kingdom
On-site

Business Intelligence Analyst

LJ Recruitment Felixstowe, Suffolk, United Kingdom
£60,000 – £64,000 pa On-site

Marketing Data Analyst

Armstrong Lloyd - Marketing Recruitment Rg217Pp, RG21 7PP, United Kingdom
£50,000 – £60,000 pa Hybrid

BI Developer

Altech Group Ltd Pr71Ny, PR7 1NY, United Kingdom
£35,000 – £45,000 pa On-site

Data Platform Engineer (Senior / Manager)

Tenth Revolution Group Ireland, Alba / Scotland, ZE2 9GA, United Kingdom
£50,000 – £65,000 pa Hybrid Clearance Required

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.