MDS Data Modelling Software Engineer II
at J.P. Morgan
Posted 14 hours ago
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- Compensation
- Not specified
- City
- Glasgow
- Country
- United Kingdom
Currency: Not specified
Join JPMorgan Chase's Market Data Services team to design and implement scalable data models and APIs for the SCUDO platform, working with market data from vendors such as Bloomberg, LSEG, Factset and S&P. You will model and transform datasets using Python, SQL/NoSQL, RDF/SPARQL and integrate them into cloud databases (AWS, Snowflake, Databricks, AWS Neptune). The role involves building and maintaining containerised deployments (Kubernetes), automating deployments, and collaborating with stakeholders in Agile teams to meet business and regulatory requirements.
Location: GLASGOW, LANARKSHIRE, United Kingdom
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As an MDS Data Modelling Engineer Associate at JPMorgan Chase in the Market Data Services team, Commercial & Investment Bank (CIB), you will promote innovation in data structuring and integration for market data discovery and digital rights management. As a key contributor, you will leverage your expertise in Python, SQL/NoSQL, RDF/SPARQL, and cloud technologies to model, transform, and structure data from leading market data vendors. You will play a pivotal role in building scalable data solutions and APIs for the SCUDO platform, supporting business users with high-quality, actionable data.
As an Associate Engineer, you will be instrumental in defining schemas for diverse datasets delivered via Snowflake, Databricks, or AWS S3, and integrating them into AWS Neptune or other internal databases. You will collaborate with cross-functional teams to deliver robust data models and API endpoints, ensuring alignment with business and regulatory requirements.
Job Responsibilities
- Model and structure currently available market data and define new schemas for integration into internal databases
- Design, implement, and maintain Kubernetes clusters for scalable data solutions
- Automate deployment, scaling, and management of containerized applications
- Design, develop, and maintain RESTful and/or GraphQL APIs using Python
- Collaborate with stakeholders to ensure data solutions meet business and regulatory requirements
- Work with datasets from major Market Data Vendors (Bloomberg, LSEG, Factset, S&P) and define schemas post-delivery
- Manage data integration and transformation using cloud platforms (AWS) and database technologies
- Maintain comprehensive technical documentation and API specifications
- Actively participate in Agile ceremonies and two-week sprint cycles
Required Qualifications, Capabilities, And Skills
- Proven experience in data modelling within professional services or contract environments
- Strong hands-on expertise with Python, SQL/NoSQL, RDF/SPARQL
- Deep familiarity with API documentation tools (Swagger/OpenAPI)
- Experience in design and development of APIs
- Exposure to microservices and event-driven architectures
- Experience with AWS databases and Oracle database products
- Proficient in SQL for Oracle and No-SQL DSL for ElasticSearch
- Experience working in Agile teams
- Deep familiarity with W3C standards for data modelling and interoperability
- Excellent communication and stakeholder management skills
Preferred Qualifications, Capabilities, And Skills
- Experience with DCAT/ODRL, NLP, Kubernetes, React, AWS Neptune
