National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Big Data Solutions Architect (Hiring Immediately)

Barclays Bank PLC
Glasgow
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - Up to £150k

SENIOR RESEARCH ASSOCIATE (DATA SCIENCE) (LONDON)

Senior Data Scientist (Viator)...

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

As a Barclays Engineering Lead, you will get an exciting opportunity to createtechnology solutions to meet business requirements, in line with our grouparchitecture design standards and principles. You will be working directlywith the engineering director to design and deliver a group-wide strategicimplementation of a scalable API strategy with best of breed technologies.Lastly, you will be assisting in the development of systems strategy and plan.Essential Skills: * Strong understanding of data modelling techniques, including star schemas, normaliseddenormalised models and data warehousing solutions like Mongo DB, Couchbase, snowflake, or redshift.Desirable Skills: * Big Data Technologies with proficiencies in tools such as Apache Spark, Kafka, and cloud based data lake architecture (AWS, S3, Databricks SageMaker Feature Store) * Knowledge of Infrastructure as code tools (e.g Terraform, Cloudformation) to automate data infrastructure deployments to ensure repeatability and security * Skilled in workflow orchestration with tools like Apache Airflow or AWS step functions to manage data processes, automate tasks and ensure reliabilityGlasgowPurpose of the roleTo build and maintain the systems that collect, store, process, and analysedata, such as data pipelines, data warehouses and data lakes to ensure thatall data is accurate, accessible, and secure.Accountabilities* Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. * Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. * Development of processing and analysis algorithms fit for the intended data complexity and volumes. * Collaboration with data scientist to build and deploy machine learning models.Vice President Expectations* Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. * Manage and mitigate risks through assessment, in support of the control and governance agenda. * Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. * Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. * Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. * Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. * Adopt and include the outcomes of extensive research in problem solving processes. * Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.All colleagues will be expected to demonstrate the Barclays Values of Respect,Integrity, Service, Excellence and Stewardship – our moral compass, helping usdo what we believe is right. They will also be expected to demonstrate theBarclays Mindset – to Empower, Challenge and Drive – the operating manual forhow we behave.

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.