MDS Data Modelling Software Engineer II

JPMorgan Chase & Co.; Glasgow; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading global financial services firm is seeking a Data Modelling Engineer Associate in Glasgow to innovate data structuring for market data. This role requires expertise in Python, SQL/NoSQL, and cloud technologies, along with experience in data integration and API development. You will collaborate with cross-functional teams to build scalable data solutions and ensure compliance with business and regulatory standards. Ideal candidates should have proven experience in data modelling and familiarity with AWS services.

Qualifications

• Proven experience in data modelling in professional services settings.
• Strong hands-on expertise in Python and SQL/NoSQL.
• Familiarity with API documentation tools such as Swagger/OpenAPI.

Responsibilities

• Model and structure market data for internal databases.
• Design and maintain Kubernetes clusters for data solutions.
• Automate deployment and management of containerized applications.

Skills

Python

SQL/NoSQL

RDF/SPARQL

Kubernetes

RESTful APIs

AWS

Tools

Snowflake

Databricks

AWS S3

Oracle databases

Job description

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