Data Engineer

Equiniti
Worthing, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Experis Bath, Somerset, TA7 8PH, United Kingdom
£500 – £550 pd

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 Hybrid Clearance Required

Data Engineer

TXP Telford, Shropshire, SY2 5TN, United Kingdom
£540 – £541 pd Hybrid Clearance Required

Data Engineer

CBSbutler Holdings Limited trading as CBSbutler Telford, Shropshire, SY2 5TN, United Kingdom
£400 – £450 pd Hybrid Clearance Required

Data Engineer

Intelligent Steps London, United Kingdom
£500 – £600 pd Hybrid
Posted
20 Feb 2026 (3 months ago)

Data Engineer page is loaded## Data Engineerlocations: UK - Remote: Hybrid - Worthing: Worthing - Highdown Housetime type: Full timeposted on: Posted Todayjob requisition id: R15704Management LevelFEquiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries.EQ’s vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ.Role SummaryEQ’s Global IT function has begun a transformation journey to support EQ’s transition into a stronger, more profitable, product-led business, driven by real insights and the needs of its customers.We are looking for a skilled Data Engineer to join our Data team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines using Microsoft Fabric and Databricks. You will work closely with our Product and Engineering teams to ensure data flow and integration across our data ecosystem. Your expertise will help us to improve our data infrastructure, improve data quality, and enable data-driven decision-making across the organization.Core Duties and Responsibilities* Design, build, and maintain large-scale data pipelines using Microsoft Fabric and Databricks* Develop and implement data architectures that meet business requirements and ensure data quality, security, and compliance* Collaborate with wider Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools* Optimise data processing and storage solutions for performance, scalability, and cost-effectiveness* Develop and maintain data quality checks and monitoring tools to ensure data accuracy and integrity* Work with cross-functional teams to identify and prioritize data engineering projects and initiatives* Stay up-to-date with industry trends and emerging technologies in data engineering and cloud computing## Skills Capabilities and Attributes## Essential:* Good experience in data engineering, with a focus on cloud-based data pipelines and architectures* Strong expertise in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management* Proficiency in Python, SQL, Scala, or Java* Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory* Strong understanding of data architecture principles, data modelling, and data governance* Experience with cloud-based data platforms, including Azure and or AWS* Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams## Desirable:* Experience with Azure Synapse Analytics, Azure Data Lake Storage, or other Azure data services* Experience with agile development methodologies and version control systems such as Git* Certification in Microsoft Azure, Databricks, or other relevant technologiesWhat We Offer****Save For Your Future - Equiniti Pension Plan; Equiniti matches your pension contributions up to 10%All Employee Long Term Incentive Plan (LTIP) – Gives all EQ Colleagues the opportunity to benefit if the current owners successfully sell the company for a profit.Health and Wellbeing – Employee Assistance Programme: counselling, legal & wellbeing support for colleagues and their households. Life assurance cover at 4x salary with the ability to purchase enhanced cover.Employee discounts – Discounts and cashback at your favourite high street stores through our EQ Wins Platform.Flexible Benefits – The ability to purchase a wide variety of benefits through our flex plan; gadgets, travel insurance, will writing, holiday trading and more.Time Off – 28 days holiday + bank holidays. 2 volunteer days to get involved with a charity of your choosing.Winning together – Equiniti ICON award vouchers; recognising the individuals going above and beyond to help the business succeed.Learning & Development – Investment in LinkedIn Learning for all colleagues.We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.Please note any offer of employment is subject to satisfactory pre-employment screening checks. These consist of 5 year activity & GAP verification, DBS or Access NI, Credit, Sanctions & CIFAS checks.Our people and platforms connect businesses with markets, engage customers with their investments and allow organisations to grow and transform. Our vision is to help businesses and individuals succeed, creating positive experiences for the millions of people who rely on us for a sustainable future. We provide share registration, deliver services for reward and benefits and develop solutions for customer management in regulated industries. Our work with some of the most significant organisations in the UK and US means we engage with 29 million of their shareholders, pensioners and employees.
#J-18808-Ljbffr

Industry Insights

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

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

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering 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 Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering 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 Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.