Join Barclays as a Senior Cloud Data Platform Engineer , where you'll be responsible for building and maintaining systems that collect, store, process, and evaluate data-such as data pipelines, data warehouses, and datalakes-to ensure all data is accurate, accessible, and secure. To be successful in … this role, you should have experience with: Cloud platforms (AWS/Azure) Data Engineering (Airflow/DBT, Spark) DevSecOps practices Additional highly valued skills include: Terraform Python/Java AWS/Azure Data Engineering Snowflake/Databricks You may be assessed on key skills relevant for success in this role, such as risk and controls, change … as well as job-specific technical skills. This role is based in Glasgow. Purpose of the role To build and maintain systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and datalakes, ensuring data accuracy, accessibility, and security. Accountabilities Build and maintain dataMore ❯
Embark on a transformative journey with Barclays as a Data Security Lead to play a pivotal role in building and maintaining the secure systems that collect, store, process, and analyse data across our organisation. This includes safeguarding data pipelines, data warehouses, and datalakes-ensuring all information is accurate, accessible … and, above all, secure. As a Data Security Lead, you will collaborate with cross-functional teams to embed security by design into our data infrastructure, enabling advanced analytics and data science use cases-including AI and Machine Learning-without compromising on compliance or control. To be successful as a Data Security Lead … you should have experience with: Proven architecture and control design experience in a data security or cybersecurity context. Strong background as a Cloud technologist with hands-on experience in data science platforms and AI/ML use cases. Demonstrated expertise in implementing security by design principles and conducting threat modelling and translating this into designs mitigations More ❯
Join Barclays as a Digital Customer Data Engineer, where you'll be leading the development for a new shared data platform that is transforming how individuals/organisations interact with the bank. Your role involves using the latest data and AI engineering skills to deliver a digital capability. As part of our team, you … ll also benefit from being part of a vast professional network, collaborating with industry mentors and experts. To be successful you should have experience with: Modern data engineering practices, inc. event-driven and data lake. Digital platform development, inc. experience developing colleague and customer facing applications. Banking software development. Deep technical awareness of cloud and data technology, such as Kafka, Data Bricks, microservices, API. Some other highly valued skills may include: Technical design: Analysis and documentation of system characteristics, inc. designing solutions to meet multi-faceted non-functional requirements. Communication Skills: Ability to clearly convey project goals to senior leadership, updates, and technical details to stakeholders at all levels, including non-technical More ❯
Join our innovative AI/ML team at Barclays Corporate Bank as a Senior Machine Learning Engineer , where we bridge the gap between cutting-edge data science exploration and real-world business application integration. We manage internal cloud platforms that support exploratory data science work while specialising in transforming conceptual ML models into production-ready applications … decisions and processes. As part of Barclays' strategic AI/ML initiative, our team plays a vital role in establishing the corporate bank as a leader in financial data analytics innovation. We offer the opportunity to work with enterprise-scale data using cloud technologies, implement MLOps best practices, and collaborate with talented data scientists … experience in AWS based Machine Learning technologies (AWS SageMaker, Lambda, S3, EC2). Experience with CI/CD pipelines and Docker containerisation for ML model development/deployment. Data preprocessing and feature engineering expertise. Programming skills in Python and ML frameworks (TensorFlow, Torch, scikit-learn). Statistical analysis and model evaluation capabilities. Previous experience in the banking sector More ❯
onsite and can be in either the Edinburgh or Glasgow office. As part of the team, you'll engage with a modern tech ecosystem, solving complex software and data problems that contribute directly to business goals. You'll play a key role in crafting reliable, scalable solutions within … an agile, DevOps-oriented setup, working with cutting-edge Microsoft and Azure technologies. Initially, you'll work closely with a Technical Architect to build an advanced datalake, setting the stage for innovative AI-driven tools aimed at boosting team productivity. Main responsibilities will include: Partnering with AI specialists to help design and implement bespoke copilot tools. … high-quality engineering practices. Playing a role in pushing forward innovation and enhancing the sophistication of our frameworks, system integrations, and automated processes. Working closely with the internal data engineering community to stay current with new Azure data technologies, and helping to share best practices and strategic guidance across the company. Things that will align you More ❯
