Software Engineer III - Data Engineering

Salary: £100,000 - 100,000 per year

Requirements:

• 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, and orchestration frameworks
• 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
• Familiarity with emerging technologies in data engineering
• Ability to drive innovation and continuous improvement
• Passion for mentoring and developing others

Responsibilities:

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

More:

We are partnering directly with JPMorganChase to hire a Software Engineer for our Corporate Sector agile data engineering team. We are building a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform and shaping the future of financial technology for millions of customers worldwide. In this role, you will work across multiple teams, help define architecture and engineering standards, and deliver secure, stable, and scalable software. Our Corporate Functions team spans finance, risk, human resources, and marketing, and we value diversity, inclusion, and long-term client partnerships as part of our first-class approach to serving clients.

last updated 35 week of 2026