At a Glance
- Tasks: Join an agile team to design and deliver data solutions that make a real impact.
- Company: Be part of J.P. Morgan, a global leader in financial services with a focus on diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic environment with a commitment to diversity and inclusion.
- Why this job: Work with cutting-edge technology and AI to enhance data management and analytics.
- Qualifications: Experience with Adabas & Natural Systems and a passion for data engineering.
The predicted salary is between 55000 - 65000 £ per year.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
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.
Job 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.
- Assuring 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.
Required qualifications, capabilities, and skills
- 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, capabilities, and skills
- Familiarity with Microsoft Office products, ServiceNow, Zoom, Outlook, Symphony.
- Natural, Cobol or REXX programming language and design technique skills would be beneficial.
ABOUT US
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 recognise 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, colour, 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.
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Data Engineer II in Christchurch employer: J.P. Morgan
As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to excel. The Head of Markets Tax Operations role offers unparalleled opportunities for professional growth, collaboration across diverse teams, and the chance to drive innovation in tax operations while working in vibrant locations like Spain, Italy, and Hungary. Join us to be part of a culture that values excellence, embraces technology, and prioritises employee development, ensuring you can make a meaningful impact in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer II in Christchurch
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We think you need these skills to ace Data Engineer II in Christchurch
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at J.P. Morgan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at J.P. Morgan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at J.P. Morgan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at J.P. Morgan!
✨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.
