At a Glance
- Tasks: Build and maintain scalable data pipelines for a digital investing platform.
- Company: Join JPMorgan Chase, a global leader in financial services.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Inclusive culture valuing diversity and offering career advancement.
- Why this job: Make an impact on data-driven insights for over 275,000 investors.
- Qualifications: Degree in Computer Science or STEM, with 5 years of data engineering experience.
The predicted salary is between 60000 - 80000 £ per year.
Build the data foundation behind a digital investing experience used by over 275,000 investors in the UK. Join Personal Investing to help deliver clear, data-driven insights through robust cloud-native platforms and pipelines. This is an opportunity to grow your impact on a platform that supports analytics and regulatory reporting at scale.
As a Data Engineer at JPMorgan Chase within Personal Investing, you will build and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications at scale. You will help us deliver reliable, scalable, observable, and secure data solutions across cloud-native services, lakehouse architectures, data warehousing, and streaming systems. You'll partner with teammates to build consistent, maintainable pipelines and contribute across the software delivery lifecycle from requirements through support.
- Build and maintain scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt.
- Build and operate batch and streaming data pipelines with strong scalability, performance, and fault tolerance.
- Develop and manage workflow orchestration using tools such as Apache Airflow to support reliable, observable, and well-scheduled data movement and transformations.
- Implement and optimize data models and warehouse structures to support analytics and business intelligence workloads.
- Write clean, testable Python/PySpark code using object-oriented principles and unit testing.
- Implement infrastructure-as-code for the data platform using Terraform.
- Contribute across the software development lifecycle, including requirements, design, development, testing, deployment, release, and support.
- Collaborate with teammates in an agile, dynamic environment to deliver reliable outcomes.
Degree in Computer Science or a STEM-related field (or equivalent).
- Experience working in an agile and dynamic environment.
- Experience across the software development lifecycle (requirements, design, architecture, development, testing, deployment, release, and support).
- At least 5 years of recent, hands-on professional experience actively coding as a data engineer.
- Experience with AWS, Google Cloud, or Azure.
- Experience writing Python using object-oriented programming and unit/integration testing practices.
- Experience with SQL and familiarity with SQL-based workflow management tools such as dbt.
- Data modeling skills.
- Experience with data streaming and scalable processing frameworks.
- Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines.
- Experience designing automated tests (unit, component, integration, and end-to-end), including use of mocking frameworks.
- Experience with containers and container-based deployment environments.
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.
