At a Glance
- Tasks: Design and develop scalable data pipelines for banking functions using cutting-edge technologies.
- Company: Join JPMorgan Chase, a leader in the international banking sector.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Be part of a diverse team with a focus on continuous learning and development.
- Why this job: Make a real impact in banking by building innovative data solutions.
- Qualifications: Experience in data engineering, Python coding, and cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
JPMorgan Chase is looking for a Senior Lead Data Engineer to design, develop, and maintain scalable data pipelines and reporting solutions that support a range of banking functions.
Responsibilities
- Deliver end‑to‑end data pipeline solutions on cloud infrastructure leveraging the latest technologies and best industry practices.
- Use domain modeling techniques to build best‑in‑class business products.
- Structure software for easy understanding, testing, and evolution.
- Build solutions that avoid single points of failure using scalable architectural patterns.
- Develop secure code to protect our customers and ourselves from malicious actors.
- Promptly investigate and fix issues, ensuring they do not resurface.
- Ensure releases happen with zero downtime for end‑users.
- Optimize data writing and reading for our needs.
- Monitor performance, identify and solve problems effectively, and ensure systems are reliable and easy to operate.
- Continuously update technologies and patterns.
- Support products through their entire lifecycle, including production and incident management.
Required Qualifications, Capabilities and Skills
- Formal training or certification in data engineering concepts and applied experience.
- Recent hands‑on professional experience as a data engineer.
- Experience coding in a recent version of Python.
- Experience designing and implementing effective tests (unit, component, integration, end‑to‑end, performance, etc.).
- Excellent written and verbal communication skills in English.
- Experience with cloud technologies and distributed systems.
- Experience with data transformation frameworks and data pipeline orchestration tools.
- Experience managing large volumes of data and optimizing data processing.
- Understanding of event‑based architecture, data streaming, and messaging frameworks.
- Ability to coach team members on coding practices, design principles, and implementation patterns.
- Stakeholder management and effective prioritization across multiple work streams.
Preferred Qualifications, Capabilities and Skills
- Experience in a highly regulated environment/industry.
- 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 are an equal opportunity employer and value diversity. We do not discriminate on the basis of any protected attribute and we provide reasonable accommodations for applicants’ and employees’ religious practices and mental health or physical disability needs.
Senior Lead Data Engineer (Tech Lead Manager) employer: JPMorganChase
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Lead Data Engineer, you will have access to cutting-edge technologies and the opportunity to lead impactful projects within a globally recognised financial institution. Our commitment to employee growth is evident through continuous training and development opportunities, ensuring you thrive in your career while contributing to meaningful banking solutions.
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We think this is how you could land Senior Lead Data Engineer (Tech Lead Manager)
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We think you need these skills to ace Senior Lead Data Engineer (Tech Lead Manager)
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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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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.
