At a Glance
- Tasks: Join an agile team to design and deliver data solutions that drive impactful analytics.
- Company: Be part of JPMorganChase, a leader in the Corporate & Investment Bank sector.
- Benefits: Enjoy competitive pay, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with strong support for career advancement.
- Why this job: Make a real difference by enhancing data systems and using AI to improve analysis.
- Qualifications: Experience with Adabas & Natural Systems and a passion for data management.
The predicted salary is between 50000 - 70000 £ per year.
As a Data Engineer II at JPMorganChase within the Corporate & Investment Bank organization, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Responsibilities
- Day-to-day support of JPMC's Adabas & Natural Systems in a data-sharing environment.
- Organises, updates, and maintains gathered data that will aid in making the data actionable.
- Uses enterprise-authorised AI capabilities within the work environment to accelerate data analysis support and technical documentation (e.g., clarifying requirements and drafting data definitions), validating outputs and handling data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted approaches to improve data quality checks and model/change validation routines, ensuring results are validated and aligned to resiliency and security expectations.
- Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access.
- Updates logical or physical data models based on new use cases with minimal supervision.
- Assures best practices for stability, integrity, reliability and availability.
- Performance & capacity monitoring, tuning and management.
- Incident and problem management, root cause analysis and resolution.
- Application development team support - advisory, consultancy.
- Collaborate with Infrastructure and Business teams to deliver end-to-end support.
Qualifications
- Experience of Adabas & Natural Systems in a mainframe z/os environment.
- Basic knowledge of the data lifecycle and data management functions.
- Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis.
- Working knowledge of using enterprise-authorised AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted outputs (e.g., query suggestions or model change summaries) before use, escalating when uncertain and following data handling requirements.
- Basic knowledge of data system components to determine controls needed.
- Understanding of JES2 and JCL.
- Exposure to CICS, MQ, automation, scheduling tool (i.e. CA7), security product (i.e. RACF).
Preferred Qualifications
- Familiarity with Microsoft Office products, ServiceNow, Zoom, Outlook, Symphony.
- Natural, Cobol or REXX programming language and design technique skills would be beneficial.
Data Engineer II in Bournemouth employer: Jpmorgan Chase & Co.
At JPMorganChase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our Corporate & Investment Bank team. Employees benefit from comprehensive growth opportunities, including access to cutting-edge AI technologies and a supportive environment that encourages skill development and career advancement. Located in a vibrant financial hub, our team enjoys a balance of professional challenge and personal fulfilment, making it an ideal place for those seeking meaningful and rewarding employment.
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We think you need these skills to ace Data Engineer II in Bournemouth
Some tips for your application 🫡
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
