Lead Software Data Engineer - Corporate KYC

Hackajob Ltd; Glasgow; On-site; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Competitive rewards package

On-site health and wellness facilities

Retirement savings plan

Job summary

JPMorganChase is recruiting a Lead Software Engineer for its Corporate Sector agile data engineering team. You will shape the data platform, set engineering standards, and deliver secure, scalable solutions across portfolios.

You will mentor teams, drive architectural decisions, and partner with senior leaders to ensure strategic impact in a fast-paced environment. Glasgow-based role with global scope.

Qualifications

• Hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale.
• Expertise in Python and/or PySpark.
• Advanced knowledge of software development with cloud, AI/ML, or data engineering focus.

Responsibilities

• Develop secure, high-quality production code for data-intensive applications and platforms.
• Review code and mentor engineers to foster growth and excellence.
• Lead architectural decisions and engineering practices across multiple teams.
• Collaborate with stakeholders to deliver impactful data solutions.
• Drive automation and cross-team best practices across the SDLC.

Skills

Python

PySpark

Cloud

Data engineering

Big Data

Kafka

API design

Spark

LLM orchestration

Databricks

Tools

Databricks

Snowflake

Apache Iceberg

Airflow

Kubernetes

Job description

Salary: £100,000 - 100,000 per year

Requirements:

• We need hands-on experience delivering system design, application development, testing, and operational stability at enterprise scale.
• We need expertise in Python and/or PySpark.
• We need advanced knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering.
• We need experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal).
• We need advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance.
• We need practical cloud-native experience (AWS, Azure, or GCP).
• We need the ability to present and communicate effectively with senior leaders and executives.
• We value inclusive, collaborative teamwork.
• We need strong problem-solving and analytical skills.
• We need adaptability in a fast-paced environment.
• We focus on delivering secure and scalable solutions.
• Preferred: experience with modern data platforms such as Databricks or Snowflake.
• Preferred: deep hands-on experience with Spark/PySpark and other big data processing technologies.
• Preferred: expertise in open-source table formats and catalog services such as Apache Iceberg.
• Preferred: experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI).
• Preferred: familiarity with emerging technologies in data engineering.
• Preferred: ability to drive innovation and continuous improvement.
• Preferred: passion for mentoring and developing others.

Responsibilities:

• We develop secure, high-quality production code for data-intensive applications and platforms.
• We review code and mentor engineers to foster growth and excellence.
• We create durable, reusable software frameworks and patterns for use across teams.
• We drive adoption of advanced technical methods and industry-standard practices.We advise cross-functional teams on technological matters within our domain.
• We apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation.
• We enhance automation at scale to improve value and efficiency.
• We lead architectural decisions and engineering practices across multiple teams.
• We collaborate with stakeholders to deliver impactful solutions.
• We champion best practices in software development and data engineering.
• We support a culture of innovation, inclusion, and continuous improvement.

Technologies:

• AI
• Airflow
• API
• AWS
• Azure
• Big Data
• Cloud
• Databricks
• Dynatrace
• GCP
• Grafana
• Support
• Kafka
• LLM
• Marketing
• Model Serving
• NoSQL
• Python
• PySpark
• Redis
• Snowflake
• Spark
• Splunk
• microservices
• Network

More:

We are JPMorganChase, one of the oldest financial institutions, providing innovative financial solutions to millions of consumers, small businesses, and many of the worlds most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. We are hiring a Lead Software Engineer for our Corporate Sector agile data engineering team to help shape the future of financial technology and contribute to a trusted Global Know Your Customer (KYC) and Risk Assessment Data Platform. In this role, we lead across multiple teams, define architecture and engineering standards, and build secure, stable, and scalable solutions that support our portfolios. Our Corporate Technology team works across finance, risk, human resources, marketing, and other corporate functions, and our work touches Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office. We offer a competitive total rewards package and benefits and programs that may include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching, based on eligibility. We value diversity and inclusion and support reasonable accommodations for applicants and employees.

last updated 38 week of 2026