Software Engineer III - Data Engineering - Glasgow

• Develop secure, high-quality production code for data-intensive applications and platforms
• Review code and mentor engineers to foster growth and excellence
• Create durable, reusable software frameworks and patterns for use across teams
• Drive adoption of advanced technical methods and industry-standard practices
• Advise cross-functional teams on technological matters within your domain
• Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation
• Enhance automation at scale to improve value and efficiency
• Lead architectural decisions and engineering practices across multiple teams
• Collaborate with stakeholders to deliver impactful solutions
• Champion best practices in software development and data engineering
• Support a culture of innovation, inclusion, and continuous improvement

Technologies:

• AI
• Airflow
• API
• AWS
• Azure
• Big Data
• Cloud
• Databricks
• Dynatrace
• GCP
• Grafana
• Support
• Kafka
• LLM
• Marketing
• Model Serving
• NoSQL
• Python
• PySpark
• Redis
• Snowflake
• Spark
• Splunk
• microservices

• Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale
• Expertise in Python and/or PySpark
• Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering
• Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)
• Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance
• Practical cloud-native experience (AWS, Azure, or GCP)
• Ability to present and communicate effectively with senior leaders and executives
• Commitment to inclusive, collaborative teamwork
• Good problem-solving and analytical skills
• Adaptability in a fast-paced environment
• Focus on delivering secure and scalable solutions
• Experience with modern data platforms such as Databricks or Snowflake
• Deep hands-on experience with Spark/PySpark and other big data processing technologies
• Expertise in open-source table formats and catalog services such as Apache Iceberg
• Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)
• Familiarity with emerging technologies in data engineering
• Ability to drive innovation and continuous improvement
• Passion for mentoring and developing others

We are partnering directly with JPMorganChase to hire a Software Engineer for our Corporate Sectors agile data engineering team. We are shaping the future of financial technology by developing a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform that supports our portfolios and serves millions of customers worldwide. In this role, we work across multiple teams to define architecture and engineering standards, deliver scalable software, and contribute to a culture of innovation, inclusion, and continuous improvement. We are part of J.P. Morgan, a global leader in financial services with a first-class business in a first-class way approach, and our Corporate Functions team spans finance, risk, human resources, marketing, and other essential areas that help set our businesses, clients, customers, and employees up for success.