At a Glance
- Tasks: Lead the development of data pipelines and solutions for an innovative banking experience.
- Company: Join JP Morgan Chase, a global leader in financial services with a focus on digital transformation.
- Benefits: Enjoy competitive pay, diverse work culture, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to inclusion and excellence.
- Why this job: Make a real impact in shaping the future of banking with cutting-edge technology.
- Qualifications: Experience in data engineering, Python coding, and cloud technologies required.
The predicted salary is between 80000 - 100000 £ per year.
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. Our engineers are naturally solution-oriented and possess an interest in the financial sector.
We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as:
- Finance and business management
- Treasury operations
- Financial crime prevention
- Regulatory reporting and analytics
- Customer onboarding
- Core banking
- Insurance
Key Responsibilities:
- Deliver end-to-end data pipeline solutions on cloud infrastructure.
- Structure software so that it is easy to understand, test and evolve.
- Ensure that our data is written and read in a way that's optimized for our needs.
- Monitor performance, making sure we use the right approach to identify issues.
- Formal training or certification on data engineering concepts and applied practices.
- Recent hands-on professional experience as a data engineer.
- Experience in coding in a recent version of the Python programming language.
- Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).
- Excellent written and verbal communication skills in English.
- Experience with data transformation frameworks and data pipeline orchestration.
- Experience with managing large volumes of data and optimizing data processing.
- Understanding of event-based architecture, data streaming and messaging.
- Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
- Experience with AWS cloud technologies.
- Experience with data governance frameworks.
- Understanding of incremental data processing and versioning.
- Understanding of RESTful APIs and web technologies.
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.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - International Consumer Bank (Chase UK) in Bristol
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We think you need these skills to ace Lead Data Engineer - International Consumer Bank (Chase UK) in Bristol
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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.
