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

Nominate & Attend

Lead Data Engineer

Barclays Bank PLC
Glasgow
6 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Science Manager

Data Science Team Lead (Level 4)

Senior Data Engineer

Data Scientist

Data Scientist Lead - Employee Platforms

Lead Data Scientist

As a Barclays Engineering Lead, you will get an exciting opportunity to create technology solutions to meet business requirements, in line with our group architecture design standards and principles. You will be working directly with the engineering director to design and deliver a group-wide strategic implementation 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, normalised/denormalised 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 securitySkilled 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 analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.AccountabilitiesBuild 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 ExpectationsAdvise 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 us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how 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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.