1 to 25 of 36 Data Engineering Jobs in Glasgow

mission to deliver end-to-end analytics and AI transformation that prioritises business value. As a Consultant/Senior Consultant, you will play a pivotal role in solving complex data and AI challenges for our clients, contributing to flagship projects that set industry benchmarks. In this role you will be delivering at least one of the following areas: Designing … and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data & AI solutions focusing on pipeline automation, ELT/ETL processes, and deployment through enterprise data platforms. Crafting compelling user experiences: Blend user-centred design with storytelling to deliver impactful … Gen AI/BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile planning More ❯

We support Asia’s growing energy needs while advancing the shift to a lower-carbon future. Purpose and Scope We are seeking a highly skilled and self-driven Azure Data Engineer with expertise in PySpark, Python, and modern Azure data services including Synapse Analytics and Azure Data Explorer. The ideal candidate will design, develop, and maintain scalable … data pipelines and architectures, enabling effective data management, analytics, and governance. Key Roles and Responsibilities Design, develop, and maintain scalable and efficient data pipelines (both batch and real-time streaming) using modern data engineering tools Build and manage data lakes, data warehouses, and data marts using Azure Data Services Integrate data from various sources including APIs, structured/unstructured files, IoT devices, and real-time streams Develop and optimize ETL/ELT workflows using tools such as Azure Data Factory, Databricks, and Apache Spark Implement real-time data ingestion and processing using Azure Stream Analytics, Event Hubs, or Kafka Ensure data quality, availability, and security across the More ❯

bring your own stamp to what we are doing. What will your role look like? In this role you will work on a modern tech stack, tackling software and data challenges that drive our business forward. You will be instrumental in designing and delivering robust, scalable solutions within an agile, DevOps-driven environment, using the latest Microsoft and Azure … technologies. Your initial focus will be on collaborating closely with a Technical Architect to develop a cutting-edge data lake for HRPW, forming the foundation for custom AI solutions that will drive team efficiencies. Though this is a very varied role, your key responsibilities will include: Collaborating with our AI team on the development of custom copilot solutions for … the HRPW team. Working alongside high-performing, highly skilled and multi-disciplinary teams in the wider firm - we work within a DevOps culture that promotes team autonomy and engineering excellence, using the latest technologies. Contributing to drive innovation and increase the maturity of our frameworks, integrations and automations. Pragmatically assess trade-offs/barriers which will emerge in the More ❯

Data Engineering Consultant (all levels) We’re working with a globally recognised consultancy that delivers cutting-edge digital, data, and analytics solutions to some of the most complex infrastructure projects across the UK and beyond. With a strong commitment to technical excellence, inclusion, and client impact, they partner with high-profile organisations to help them unlock the … full potential of their data assets. Due to continued growth and demand for their data services, they are expanding their specialist engineering team and seeking talented Data Engineering Consultants at various seniority levels — from experienced engineers to those ready to step into leadership roles. The Role As a Data Engineering Consultant, you will … Collaborate with stakeholders across development, analytics, and business teams to define and implement components of the data landscape in line with strategic data goals Translate business and end-user needs into robust technical solutions, delivery plans, and architectural designs Build and maintain highly automated, scalable data pipelines using modern cloud-based tools Identify and resolve data More ❯

apply your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications. Job Responsibilities Develop and enhance the technology and engineering roadmap for your team, aligning with the firm's architectural roadmap. Provide technical guidance and direction, leading, coaching, and mentoring to support the business and its technical teams. Create … technical operations, adhering to best practices and the architectural roadmap. Serve as a subject matter expert in Python/Java and Databricks across the function. Actively contribute to the engineering community, advocating for firmwide frameworks, tools, and Software Development Life Cycle practices. Influence peers and project decision-makers to adopt leading-edge technologies. Foster a team culture of diversity … equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts with 10+ years of applied experience. Hands-on experience in system design, application development, testing, and operational stability. Advanced proficiency in one or more programming languages. Advanced knowledge of software applications and technical processes, with deep expertise in one or more technical More ❯

sufficiency. We do this by providing client-side incubation support with ready-made out-of-the box capability supported by smart, execution-focussed practitioners. The Role Are you a data enthusiast with a passion for transforming raw information into meaningful insights? We’re looking for a talented Fabric/Data Consultant with expertise in Azure and Power BI … to join our dynamic team. This role is perfect for someone who enjoys working with cutting-edge technology, developing robust data architectures, and driving strategic business intelligence initiatives. If you're excited about helping organizations unlock the full potential of their data, we’d love to hear from you. Proven experience in data engineering with exposure … to Azure Synapse or Azure Data Factory or Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Company: Royal London Group Job Title: Data Engineer Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Edge Working style: Hybrid 50% home/office based We have a fantastic opportunity for a Data Engineer to join Royal London. The … successful candidate will be responsible for identifying, defining, managing, and delivering data, tools, and other technical assets to enable analytics, data science, and machine learning projects. These initiatives aim to generate insights, address key business questions, solve business problems, and support decision-making at all levels of the organisation. In addition to these responsibilities, the Data Engineer … will assist junior team members, promoting engineering best practices and maintaining technical standards. The role also involves supporting the delivery of multiple projects across the team, being involved in data, tooling, and technical practices related to data engineering for business intelligence, analytics, data science, and machine learning. About the role Source and prepare data More ❯

in the Scottish market Full-time · Permanent · Remote/Hybrid (Glasgow-based office) A leading SaaS business at the forefront of digital transformation is seeking an experienced Senior Engineer - Data to join its growing data team. As the company scales its next-generation platform, data is central to delivering fast, accurate, and intelligent user experiences. This is … a fantastic opportunity to play a key role in shaping a modern data and search infrastructure using cutting-edge technologies. About the Role You’ll be part of an agile, cross-functional team building a powerful data platform and intelligent search engine. Working with technologies like Apache Lucene, Solr, and Elasticsearch, you'll contribute to the design and … development of scalable systems, with opportunities to explore machine learning, AI-driven categorisation models, and vector search. What You’ll Be Doing Design and build high-performance data pipelines and search capabilities. Develop solutions using Apache Lucene, Solr, or Elasticsearch. Implement scalable, test-driven code in Java and Python. Work collaboratively with Business Analysts, Data Engineers, and UI More ❯

apply your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications. Job Responsibilities Develop and enhance the technology and engineering roadmap for your team, aligning with the firm's architectural roadmap. Provide technical guidance and direction, leading, coaching, and mentoring to support the business and its technical teams. Create … technical operations, adhering to best practices and the architectural roadmap. Serve as a subject matter expert in Python/Java and Databricks across the function. Actively contribute to the engineering community, advocating for firmwide frameworks, tools, and Software Development Life Cycle practices. Influence peers and project decision-makers to adopt leading-edge technologies. Foster a team culture of diversity … equity, inclusion, and respect. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts with 10+ years of applied experience. Hands-on experience in system design, application development, testing, and operational stability. Advanced proficiency in one or more programming languages. Advanced knowledge of software applications and technical processes, with deep expertise in one or more technical More ❯

capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. … Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps … growth of others through coaching, peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and More ❯

today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Join our fast-growing & collaborative Data-Driven Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to … Architect, you will play a pivotal role in shaping and delivering cutting-edge cloud solutions for our Financial Services clients. You will lead the design, implementation, and optimization of data products and architectures, ensuring scalability, security, and compliance while aligning with business objectives. You will own and drive enterprise solutions covering orchestration, access control, consumption via market leading cloud … downstream uses including machine learning, AI/GenAI solutions. In this role you will play a key role in: Cloud Solution Architecture: Design and implement scalable, secure, and resilient data solutions on AWS, ensuring best practices in architecture, performance, and cost optimization. Architecture Roadmap Definition: Define the strategic solutions and architecture roadmap covering key platform capabilities, engaging with Enterprise More ❯

Social network you want to login/join with: Head of Data Engineering & Governance, glasgow col-narrow-left Client: Data Science Talent Location: glasgow, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Head of Data Engineering & Governance Investment … our client began to focus solely on wealth management. But now? This company – a trusted name in the UK financial services sector – fully recognise this. They understand that embracing data and AI is what will continue to position them at the forefront of the UK’s investment management sector. This isn’t a dalliance with data. It’s a … no debate about the direction, fighting for investment or dragging people with you. Now, following a recent acquisition, they’re ready to embark on the next phase – transforming the data and harnessing its power. And that’s where you come in. Where you fit in As one of three new leaders in the newly established Group Data function More ❯

Description: We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Manager of Software Engineering at JPMorgan Chase within the Corporate Technology, you will serve in a leadership role by providing technical coaching and advisory for multiple agile technical teams. You will anticipate the … for the team. Create a culture of diversity, equity, inclusion, and respect for team members, prioritizing diverse representation. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and advanced applied experience. In addition, proven experience leading technologists to manage and solve complex technical items within your domain of expertise. Experience leading large feature teams of … software engineers to deliver intensive data driven applications. Ability to guide and coach teams on approaches to achieve goals aligned with strategic initiatives. In-depth knowledge of agile practices and delivering agile programs. In-depth knowledge of the financial industry and their IT systems. In-depth knowledge and experience in a last JAVA, Python, Databricks, AWS/Azure. Experience More ❯

Social network you want to login/join with: Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/… Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a full-spectrum ecosystem of revolutionary AI infrastructure and products. Our platform, OhChat, features digital twins of real-world personalities and original … and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking for a Senior DevOps Specialist with a strong python and data engineering background to support our R&D and tech teams by designing, building, and maintaining robust infrastructure and data pipelines across AWS and GCP. You will be More ❯

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 data lakes-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 critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic … skills, 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 data lakes, ensuring data accuracy, accessibility, and security. Accountabilities Build and maintain data architectures and pipelines that More ❯

Job Description We are looking for a skilled ETL Developer with hands-on experience in Talend, Python, and Spark, to join data engineering team. The ideal candidate will be responsible for designing, building, and maintaining ETL pipelines that support data extraction, transformation, and loading from various sources into target systems. Key Responsibilities: · Design, build, and maintain ETL … workflows using the Talend ETL toolset. · Develop ETL solutions for extracting and transforming data from various sources such as Cloudera, PostgreSQL, and SQL Server. · Create and manage database schemas, tables, and constraints based on business requirements. · Collaborate with cross-functional teams to understand source systems and ensure accurate data mapping and transformation. · Write transformation logic using ETL tools … or scripting languages like SQL and Python. · Ensure data is clean, validated, and aligned with target schema and data quality standards. · Contribute to data quality improvement initiatives and proactively resolve data inconsistencies. · Participate in troubleshooting and performance tuning of ETL jobs and workflows. Required Skills & Qualifications: · Proven experience with Talend, Python, and Apache Spark. · Strong understanding More ❯

Senior Engineer - Data – Leading SaaS Business Full-time · Permanent · Remote/Hybrid (Glasgow-based office) A leading SaaS business at the forefront of digital transformation is seeking an experienced Senior Engineer - Data to join its growing data team. As the company scales its next-generation platform, data is central to delivering fast, accurate, and intelligent user … experiences. This is a fantastic opportunity to play a key role in shaping a modern data and search infrastructure using cutting-edge technologies. About the Role You’ll be part of an agile, cross-functional team building a powerful data platform and intelligent search engine. Working with technologies like Apache Lucene, Solr, and Elasticsearch, you'll contribute to … design and development of scalable systems, with opportunities to explore machine learning, AI-driven categorisation models, and vector search. What You’ll Be Doing Design and build high-performance data pipelines and search capabilities. Develop solutions using Apache Lucene, Solr, or Elasticsearch. Implement scalable, test-driven code in Java and Python. Work collaboratively with Business Analysts, Data Engineers 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 ❯

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 … and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge 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 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 Risk Technology Engineering & Architecture 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 … the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of … leading-edge technologies Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience Experience in dealing with large amount of data, Data Engineering skills are desired Proven experience in Spark, Hadoop, Databricks and Snowflake Hands-on practical experience delivering 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 ❯

Director of Software Engineering, Payments EMEA Regulatory Data Job Description If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase, you will lead a technical area within the Commercial and Investment Banking Payments Technology … Coin, expansion into new markets, and real-time settlement enhancements. As regulations evolve, advanced technologies are crucial to maintain or boost business momentum. If you're passionate about tackling engineering challenges with cutting-edge technologies including AI and ML, join us in transforming regulatory reporting within the Payments sector. This role is based in the dynamic EMEA region, requiring … and ML. Implement reliable platforms with high availability (three nines or more). Maintain a problem-solving mindset. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering and extensive applied experience. Experience leading cross-functional technologist teams. Proven ability in hiring, developing, and recognizing talent. Experience as a Product Owner or Product Manager. Practical cloud-native More ❯

Job Description If you are a software engineering leader ready to take the reins and drive impact, we've got an opportunity just for you. As a Director of Softwre Engineering at JPMorgan Chase, you lead a technical area within the Commercial and Investment Banking Payments Technology team and drive impact within teams, technologies, and projects across departments. … multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery. As a Director of Software Engineering at JPMorgan Chase within the Commercial and Investment Banking Payments Technology team, you will be leading a technical area and promoting impactful changes across teams, technologies, and projects. Your … and with rising regulations, there is a need for more advanced technologies to seamlessly deliver to regulators to maintain or boost business momentum. If you passionate about tackling intricate engineering challenges using cutting-edge technologies, including AI and ML, join us on an exciting transformation journey in regulatory reporting within the Payments sector, as we evolve into a global More ❯

Cross-Training Opportunity: CDS Data Engineer – Paid Training + 2-Year Client Placement Are you passionate about data and looking to transition into a high-impact engineering role within a prestigious organisation? We’re offering a paid 8–10 week cross-training programme in Data Engineering , followed by a 2-year full-time placement with … one of our elite financial services clients. This is a unique opportunity to gain real-world experience, upskill in modern data technologies, and build a rewarding career in a dynamic and evolving industry. 🧠 What You’ll Need: This programme is ideal for individuals with a technical background and exposure to development, particularly in Python or Java. Essential Requirements: Exposure … recruitment) Experience with object-oriented programming (C#, JavaScript, etc. also considered) Knowledge of or exposure to Agile environments DevOps understanding or experience Working knowledge of Linux systems Understanding of data modelling , data warehousing , data archiving, and dashboard creation Familiarity with databases such as Oracle, MongoDB, SQL, or other RDBMS Exposure to BI tools like Tableau Awareness or More ❯

and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. What we are looking for: 4+ years of experience in MLOpsor Software Engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools … Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role is hybrid, based out of Dundee, Scotland. Flexible arrangements are on offer, but we can only consider candidates able to commit to at least one office day per week. Apply now for immediate consideration. Bright Purple is an equal More ❯