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For Companies At a Glance
- Tasks: Model and structure market data, design APIs, and automate cloud solutions.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Why this job: Make an impact with cutting-edge tech in a dynamic environment.
- Qualifications: Experience in data modelling, Python, and API development required.
- Other info: Collaborate with cross-functional teams in an Agile setting.
The predicted salary is between 36000 - 60000 £ per year.
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.
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
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
MDS Data Modelling Software Engineer II in Glasgow employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MDS Data Modelling Software Engineer II in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects, APIs, and any cool stuff you've built with Python or AWS. This is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as communication is key in collaborative environments.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace MDS Data Modelling Software Engineer II in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, SQL/NoSQL, and any relevant cloud technologies to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data modelling and how your background aligns with our needs. Share specific examples of your work with APIs and data integration to make it stand out.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, don’t hesitate to include them. We love seeing practical applications of your skills, especially in areas like Kubernetes and AWS.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL/NoSQL, and API development skills. Be ready to discuss how you've used these technologies in past projects, especially in data modelling and integration. Having specific examples will show that you can hit the ground running.
✨Understand the Business Context
Familiarise yourself with the financial services industry and how market data is used. Knowing the role of major vendors like Bloomberg and S&P will help you connect your technical skills to real-world applications, making you a more compelling candidate.
✨Prepare for Scenario Questions
Expect questions that ask you to solve problems or design solutions on the spot. Practice articulating your thought process clearly, especially when it comes to designing APIs or structuring data. This will demonstrate your problem-solving abilities and technical expertise.
✨Show Your Team Spirit
Since collaboration is key in this role, be prepared to discuss your experience working in Agile teams. Highlight any instances where you’ve successfully collaborated with stakeholders to meet business requirements, as this will showcase your communication skills and teamwork.
