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- Tasks: Model and structure market data, design APIs, and collaborate on innovative data solutions.
- Company: Join JPMorgan Chase's dynamic Market Data Services team.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in data innovation and work with cutting-edge technologies.
- Qualifications: Experience in data modelling, Python, SQL/NoSQL, and API development.
- Other info: Engage in Agile sprints and enjoy a collaborative work environment.
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.
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
- 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
- Experience with DCAT/ODRL, NLP, Kubernetes, React, AWS Neptune
MDS Data Modelling Software Engineer II in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. 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. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and cloud technologies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data modelling and APIs, and be ready to discuss your experience with AWS and Kubernetes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
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 is tailored to the MDS Data Modelling Software Engineer II role. Highlight your experience with Python, SQL/NoSQL, and any relevant cloud technologies. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've modelled data or built APIs. We love seeing real examples of your work, especially if they involve market data or cloud platforms like AWS. This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for your achievements and responsibilities. We appreciate straightforward communication, so make it easy for us to see your qualifications!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL/NoSQL, and RDF/SPARQL skills. Be ready to discuss how you've used these technologies in past projects, especially in data modelling and API development. It’s all about showing that you can hit the ground running!
✨Understand the Business Context
Familiarise yourself with the market data landscape and the specific vendors mentioned, like Bloomberg and S&P. Understanding how your role fits into the bigger picture at JPMorgan Chase will help you articulate your value during the interview.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems related to data integration and transformation. Think through examples where you've designed schemas or built APIs, and be ready to explain your thought process and the outcomes.
✨Show Your Agile Mindset
Since the role involves working in Agile teams, be prepared to discuss your experience with Agile methodologies. Share examples of how you've contributed to sprints or collaborated with cross-functional teams to deliver projects on time.
