At a Glance
- Tasks: Create innovative data solutions and optimise data pipelines for a leading financial institution.
- Company: Join JP Morgan Chase, a global leader in financial services with a focus on digital banking.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to inclusion and innovation.
- Why this job: Make a real impact in transforming digital banking experiences for millions of customers.
- Qualifications: Experience in data engineering, Python coding, and cloud technologies like AWS.
The predicted salary is between 70000 - 90000 £ 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 Senior Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will be part of a team that plays 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 and focus on addressing our customer needs.
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.
We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.
\n Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.\n Structure software for easy understanding, testing, and evolution.\n Optimize data writing and reading for our needs.\n Monitor performance, identifying and solving problems effectively and ensure systems are reliable and easy to operate.\n Formal training or certification in data engineering concepts and applied experience.\n Recent hands-on professional experience as a data engineer.\n Experience coding in a recent version of Python.\n Experience designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.).\n Excellent written and verbal communication skills in English.\n Experience with data transformation frameworks and data pipeline orchestration tools.\n Experience managing large volumes of data and optimizing data processing.\n Understanding of event-based architecture, data streaming, and messaging frameworks.\n Ability to coach team members on coding practices, design principles, and implementation patterns.\n Experience with AWS cloud technologies.\n Experience with data governance frameworks.\n Understanding of incremental data processing and versioning.\n Understanding of RESTful APIs and web technologies.\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.
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. for more information about requesting an accommodation.
\Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing.
StudySmarter Expert Advice🤫
We think this is how you could land Lead / Senior Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like J.P. Morgan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead / Senior Data Engineer at J.P. Morgan.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like J.P. Morgan.
✨Apply Directly through Our Website
When you find a suitable opening like Lead / Senior Data Engineer at J.P. Morgan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead / Senior Data Engineer in London
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!
✨Showcase Your Projects
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.
