Senior Data Engineer, KYC Data Platform & Spark

JP Morgan Chase; Glasgow; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorgan Chase in the United Kingdom seeks a data engineering specialist to help build and scale enterprise-grade data platforms. You will contribute to secure, high-quality production code for data-intensive applications and mentor engineers.

The role emphasizes collaboration across teams, architectural leadership, and driving innovation with modern data technologies such as Databricks, Snowflake, Spark/PySpark, and LLM orchestration. Cloud experience (AWS/Azure/GCP) is essential.

Qualifications

• Hands-on experience delivering system design at enterprise scale.
• Experience with Python and/or PySpark.
• Knowledge of software development with cloud, AI/ML, or data engineering.
• Experience with large-scale data processing, microservices, APIs, Kafka, Redis, and observability tools.
• Advanced knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance.
• Cloud-native experience (AWS, Azure, or GCP).
• Ability to communicate with senior leaders; collaborative teamwork.
• Strong problem-solving and analytical skills; adaptable in fast-paced environments.
• Interest in Databricks, Snowflake, Spark/PySpark, Iceberg, and LLM orchestration is a plus.

Responsibilities

• Develop secure, high-quality production code for data-intensive applications.
• Review code and mentor engineers.
• Create durable reusable frameworks and patterns for use across teams.
• Drive adoption of advanced technical methods and best practices.
• Advise cross-functional teams on technological matters.
• Enhance automation at scale to improve value and efficiency.
• Lead architectural decisions across multiple teams.
• Collaborate with stakeholders to deliver impactful solutions.
• Champion best practices in software development and data engineering.
• Support culture of innovation, inclusion, and continuous improvement.

Skills

Python

PySpark

Data engineering

Spark

API design

Kafka

Redis

Cloud

AWS

Azure

GCP

Tools

Databricks

Snowflake

Apache Iceberg

Airflow

Temporal

Dynatrace

Splunk

Grafana

Job description

JPMorgan Chase in the United Kingdom seeks a data engineering specialist to help build and scale enterprise-grade data platforms. You will contribute to secure, high-quality production code for data-intensive applications and mentor engineers.

The role emphasizes collaboration across teams, architectural leadership, and driving innovation with modern data technologies such as Databricks, Snowflake, Spark/PySpark, and LLM orchestration. Cloud experience (AWS/Azure/GCP) is essential.