Data Engineer III - Data Consumption, Access and SD - Chase UK

JPMorgan Chase & Co.
London
1 month ago
Applications closed

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We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact. 

As a Software Engineer III at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat-structure organization. Your responsibilities are to be at the forefront of architecting, building, deploying, and maintaining a cloud-native, web-scale data platform. You will collaborate with a dynamic team to deliver robust, scalable, and sustainable data pipelines, ensuring seamless integration and optimal performance. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages..

Job Responsibilities:

Architect and develop scalable data pipelines on cloud infrastructure. Collaborate in an agile, customer-facing environment to deliver high-quality solutions. Utilize your expertise in Python and SQL to develop and optimize data processes. Design and manage relational databases and complex data structures. Deploy and manage containerized applications using Docker and Kubernetes. Develop Infrastructure as Code (IaC) with Terraform and Terragrunt. Engage in all stages of the software development lifecycle, from design to support. Utilize scheduling systems, with a preference for Airflow, to manage workflows. Automate deployment, releases, and testing in CI/CD pipelines. Write and automate unit, component, integration, and end-to-end tests.

Required Qualifications, Capabilities, and Skills:

Extensive hands-on experience in Python and SQL (any dialect). Experience with distributed systems and cloud technologies (AWS, GCP, Azure, ; EMR is a plus. Hands-on experience in relational databases, data structures, caching concepts, race conditions, and complex analytical queries. Experience with Infrastructure as Code (IaC) using Terraform and Terragrunt. Experience with scheduling systems, with Airflow preferred. Basic understanding of data streaming and messaging frameworks (Kafka, Spark Structured Streaming, Flink, . Good knowledge of the Spark framework and its deployment with cloud services.

Preferred Qualifications:

Academic qualification in computer science or a STEM-related field, or foreign equivalent. At least 3 years of hands-on experience as a back-end software engineer or data engineer. Familiarity with table formats such as Iceberg. Experience with EMR and Spark is a plus. Understanding of RESTful services.  Write and automate unit, component, integration, and end-to-end tests.

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