20 of 20 Big Data Jobs in Glasgow

Compensation £60,000 - £80,000 Base + Performance Related Bonus + Benefits TL;DR Role: Senior level data engineer role Location: UK‐based, fast growing data and AI consultancy specialising in the energy sector Cloud: Strong AWS, Azure or GCP (multi‐cloud desirable, certs a plus) Consultancy/Energy Experience: Highly beneficial, not essential Visa Sponsorship: Not available … if you’re unsure, apply and let’s talk Diversity & Inclusion: We want a broad mix of people and perspectives Who We Are Hypercube Consulting is a rapidly scaling data‐and‐AI specialist focused on the energy sector. We pair deep domain know‐how with modern technology to help utilities, renewables and low‐carbon innovators unlock value from data. … Learn more about how we think on our founder’s blog at https://aesroka.susbtack.com Role purpose As a senior data engineer, you will truly understand a client’s requirements to build, test and deploy data solutions that help customers deliver more value from their data. This will be a senior role in the technical delivery teams More ❯

and motivated AI Full Stack Developer with a strong foundation in cybersecurity operations and artificial intelligence technologies. The ideal candidate will have deep technical expertise in AI/ML, data science, and programming, alongside a solid understanding of cyber threat detection and defensive operations frameworks. You will be instrumental in designing and implementing full-stack AI-driven solutions to … modern full-stack development tools and frameworks. · Collaborate with cybersecurity teams to build and enhance detection and mitigation systems based on frameworks like MITRE ATT&CK. · Develop and maintain data pipelines, APIs, dashboards, and visualization tools to support AI model insights. · Write clean, well-documented, and secure code using Python, C C#, or R. · Leverage libraries such as TensorFlow … and deploying AI services in cloud-native environments. · Familiarity with containerization (Docker, Kubernetes) and DevOps pipelines. · Exposure to security operations center (SOC) tools and SIEM platforms. · Experience working with big data platforms such as Spark, Hadoop, or Elastic Stack. #J-18808-Ljbffr More ❯

Join to apply for the Senior Data Scientist in Agencies role at Bank of England 2 weeks ago Be among the first 25 applicants Join to apply for the Senior Data Scientist in Agencies role at Bank of England Get AI-powered advice on this job and more exclusive features. Monetary Analysis directorate The Monetary Analysis directorate provides … agents organise visits for our policymakers across the UK so they can hear the views of businesses and communities first-hand. Key Responsibilities Line management of an Analyst in Data Science and three Senior Research Assistants. Work with the Technical Agent for Data Strategy to implement the Data Analytics/AI and Technology strategy for the Agency … Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions for the analysis of Agency intelligence working alongside Advanced Analytics. Work collaboratively with Agents to implement new analytical tools, including scoping More ❯

of your career and guide a team to success at one of the world's leading financial institutions. As a Lead Software Engineer at JPMorgan Chase within the Client Data Exchange Team, you are hands-on and lead a team and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team's work adheres … design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding … methods Proficient in all aspects of the Software Development Life Cycle, agile methodologies such as CI/CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data More ❯

team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will be an integral part of an agile team dedicated to advancing, creating, and deploying high-quality technology products, prioritizing security, stability, and scalability. Your … in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience performing data analytics on AWS platforms Experience in writing efficient SQL's, implementing complex ETL transformations on big data platform. Experience in a Big Data technologies (Spark … Impala, Hive, Redshift, Kafka, etc.) Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues Experience with Databricks, Snowflake, Iceberg are required Preferred qualifications, capabilities, and skills Experience in application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferable Understanding of the More ❯

applications (e.g., microservices, APIs), setting technical direction and ensuring code quality Solve intricate back-end architectural and performance challenges, identifying and implementing innovative solutions that enhance system efficiency and data integrity Champion Agile methodologies, leading ceremonies and driving best practices within development teams Manage project software aspects, ensuring development efforts align with overall project objectives and client needs Define … members. Requirements Professional experience in Java development Strong proficiency in Java 8+ (ideally Java 11/17+) Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Security, Spring Data JPA).Solid understanding of relational databases (e.g., PostgreSQL, MySQL, Oracle) and ORM frameworks (e.g., Hibernate, JPA) Experience with RESTful API design and development Proficiency with version control systems, particularly … AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka, Spark) is a plus. The recruitment process you can expect for this role is an initial call with your More ❯

experience in building and designing large-scale global software solutions. In-depth knowledge and experience in Python/Java and/or Databricks (AWS/Azure). Experience in Data Engineering, working with big data, data warehouses, and understanding data modelling; Data Mesh Architecture and building applications using Data Mesh Architecture. Familiarity with More ❯

applications (e.g., microservices, APIs), setting technical direction and ensuring code quality. Solve intricate back-end architectural and performance challenges, identifying and implementing innovative solutions that enhance system efficiency and data integrity. Champion Agile methodologies, leading ceremonies and driving best practices within development teams. Manage project software aspects, ensuring development efforts align with overall project objectives and client needs. Define … candidate Professional experience in Java development. Strong proficiency in Java 8+ (ideally Java 11/17+). Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Security, Spring Data JPA). Solid understanding of relational databases (e.g., PostgreSQL, MySQL, Oracle) and ORM frameworks (e.g., Hibernate, JPA). Experience with RESTful API design and development. Proficiency with version control … concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.). Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka, Spark) is a plus. The recruitment process you can expect for this role is an initial call with your More ❯

We are seeking a highly motivated and experienced Data Scientist to join our team. You will contribute to designing, building, and maintaining our data analytics systems and machine learning models, and will spearhead data science projects for internal users and our customers. Our hardworking, creative, and passionate engineers are working at the forefront in the following areas … Efficient use of big data Understanding the Internet of Things Data analytics for internal and external users What you will be doing Work with large and complex datasets to identify trends, patterns, and insights Contribute to data analytics and machine learning projects Develop and implement machine learning models and algorithms Take projects from research stage through … to production Work with data storage systems, including MariaDB databases and data warehouses Optimize data pipelines for performance and scalability, ensuring efficient use of computational resources Continuously improve data pipeline processes and procedures Collaborate with cross-functional teams to understand business needs and identify opportunities for data-driven solutions Analyze data and present results More ❯

and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Firm wide Planning and Analysis Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable … technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience in Data Management, Data Integration, Data Quality, Data Monitoring and Analytics experience. Experience leading teams of technologists and managing global stakeholders Experience in data engineering with proficiency … in Python and PySpark. Experience with building Cloud native applications using cloud platforms such as AWS, Azure, GCP and experience in leveraging cloud services for data storage, processing and analytics. Hands-on experience in data integration and handling projects that involves processing huge volume of data for reporting models. Hands-on experience in database system (both SQL More ❯

your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer III at JPMorgan Chase within the Corporate Sector Reference Data team, you will be instrumental in an agile setting, utilizing your expertise to design and develop cutting-edge technology products that emphasize security, stability, and scalability. Your role involves … design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding … or certification on Python concepts and expanding applied experience Hands-on practical experience in system design, application development, testing, and operational stability Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data More ❯

new skills, and create positive change for the communities we serve. We value your unique skills and innovative ideas within our supportive and diverse technology organization. Ready to tackle big challenges with a global technology team? We're eager to meet you. ABOUT THE PROGRAM As a Software Engineer in the Software Engineer Program (SEP) at JPMorganChase, you will … as nonfunctional requirements to develop secure, stable software against a defined architecture Apply automation to reduce manual toil in the Software Development Life Cycle Gather, analyze, and synthesize basic data sets to troubleshoot technical issues and generate insights for continuous improvements. Breaks down routine technical tasks to troubleshoot and solve issues Work and share ideas, information and innovation with … collaborative teams to achieve organizational goals, with a commitment to fostering an inclusive and innovative culture. Foundational knowledge of programming languages (e.g., React, Python, JavaScript, Java, C++, C#), databases, data structures and algorithms Understanding of software skills including business analysis, development, maintenance, and software improvement. Proficiency in developmental toolsets Basic knowledge of industry-wide technology trends and best practices More ❯

and employing sophisticated algorithms to design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal and external sources using tools like Python, Spark, and AWS. Additionally, your role will encompass extracting business insights from technical results and effectively communicating them … in AI domain, from Pattern matching, Chatbot implementation, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercises and present them in an appropriate format according to … the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Conduct ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental design (such More ❯

Data and AI Architect Salary: £61-77K (plus up to 15% bonus & private healthcare cover) ScottishPowerHQ, Glasgow Permanent, Hybrid Help us create a better future, quicker Are you passionate about shaping the future of data and AI in the cloud? We’re looking for a Data and AI Architect to lead the design and delivery of … advanced data platforms and intelligent solutions across Azure and AWS. Based in Glasgow, this role offers the chance to work on high-impact projects within the Iberdrola Group, with occasional travel across the organization. What you’ll be doing In this position, you’ll architect scalable, secure, and innovative systems that integrate seamlessly with cloud infrastructure. You’ll design … applications, conduct proof of concepts to explore new possibilities, and ensure that best practices and governance are embedded in every solution. Collaboration is key—you’ll work closely with data scientists, engineers, and business stakeholders to translate complex requirements into impactful outcomes. What you’ll bring We’re seeking someone with a proven track record in data architecture More ❯

design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to identify cost saving opportunities for the firm. Develop an optimization and recommendation engine to enhance cost efficiency within the Cloud Financial Management organization. Build and maintain pipelines … for cost optimization, ensuring efficient data flow and processing. Write and analyze Splunk queries to interpret AWS CloudTrail logs, ensuring robust monitoring and security. Monitor and optimize the performance and scalability of cloud infrastructure. Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect … Required qualifications, capabilities, and skills Proficiency in Python and SQL, with the ability to write efficient and scalable code for data processing and analysis. Exposure to Data Lake or Big Data technologies, with familiarity in working with large-scale data storage solutions. Strong knowledge of AWS, including the ability to design, implement, and manage cloud More ❯

This is an exceptional new position for a talented Python Developer with a global Data Analytics company who have developed an independent platform which provides both management and measurement of converged TV campaigns. This is a key position with impressive potential for growth and impact, where you will own the full development lifecycle from initial idea/design through … to delivery. The person in this role will work daily with the most advanced technologies in software development, high scalability, and big data and will need exceptional Software Engineering skills. You’ll be asked to: • Set the technical standard for your team. • Be a part of and own the full development lifecycle from initial idea/design through … to delivery • Work with a team of extremely talented software engineers and data scientists in a fast-paced and engaging environment • Interact with all areas of the business, from sales to client services, to ensure the highest quality product will be delivered You should have experience of: • Developing complex software with end-to-end ownership • Python or similar (Ruby More ❯

code optimization and refactoring to enhance scalability and performance Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, and Skills: Proficiency in big data technologies such as Hadoop, Spark, or Kafka for handling large-scale data processing Familiar using tools like GitHub Copilot or Codeium Knowledge or practical experience with More ❯

artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Knowledge in Big Data development and software design Understanding of Risk Management and Credit Risk #J-18808-Ljbffr More ❯

artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Knowledge in Big Data development and software design Understanding of Risk Management and Credit Risk About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products More ❯

a career in Cloud Computing. Increased earning potential and job security. Flexible working opportunities within the industry. A platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯