Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Equiniti
Worthing
4 days ago
Create job alert

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

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.