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Senior Lead Software Engineer Data Engineer

JPMorganChase

Glasgow

On-site

GBP 80,000 - 100,000

Full time

Today
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Job summary

A leading global financial institution is hiring a Senior Lead Software Engineer to join their agile team and enhance technology products related to Corporate Risk. The role includes responsibilities such as providing technical guidance, developing secure code, and influencing decisions on product design. Candidates should have strong expertise in data engineering, advanced programming skills, and practical cloud experience. This full-time role offers the opportunity to tackle diverse challenges in a fast-paced environment.

Qualifications

  • Formal training or certification in software engineering concepts.
  • Hands-on experience in data platform solutions.
  • Practical cloud-native experience with AWS, Azure, or GCP.

Responsibilities

  • Provide technical guidance to support business and technical teams.
  • Develop secure and high-quality production code.
  • Influence project decision-makers on technology choices.

Skills

Data Engineering
Data Architecture
AI/ML
Java
Python
C/C++
AWS
Azure
GCP
Spark

Education

Computer Science
Computer Engineering
Mathematics

Tools

Kafka
Redis
MemCached
Databricks
Snowflake
Dynatrace
Splunk
Grafana
Airflow
Temporal
Job description

Be an integral part of an agile Engineering & Architecture team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

As a Senior Lead Software Engineer at JP Morgan Chase within the Corporate Risk Technology you are an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities
  • Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors
  • Develops secure and high-quality production code and reviews and debugs code written by others
  • Drives decisions that influence the product design application functionality and technical operations and processes
  • Serves as a function-wide subject matter expert in one or more areas of focus
  • Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity opportunity inclusion and respect
Required qualifications, capabilities and skills
  • Formal training or certification on software engineering concepts and applied experience.
  • Strong proficiency in Data Engineering Data Architecture AI/ML with hands-on experience in designing implementing testing and ensuring the operational stability of large-scale enterprise data platforms and solutions
  • Hands-on practical experience delivering system design application development testing and operational stability
  • Advanced in one or more programming language(s) eg. Java Python C/C
  • Advanced Working knowledge of Databases/Data Lake/Data Mesh and Data governance.
  • Experience developing debugging and maintaining code in a large corporate environment with expertise in both application and data platforms using modern programming and database querying languages.
  • Experience in large scale data processing using micro services API design Kafka Redis MemCached Observability (Dynatrace Splunk Grafana or similar) Orchestration (Airflow Temporal)
  • Ability to tackle design and functionality problems independently with little to no oversight.
  • Practical cloud native experience (AWS Azure GCP).
  • Experience in Computer Science Computer Engineering Mathematics or a related technical field
Preferred qualifications, capabilities and skills
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. data engineering cloud artificial intelligence machine learning etc.)
  • Hands-on experience with Spark/PySpark and other big data processing technologies
  • Experience with modern data technologies such as Databricks or Snowflake.
  • Knowledge of the financial services industry and their IT systems
Required Experience

Senior IC

Key Skills

Access Control System,Engineering,Bar Management,Jpa,Law,Jdbc

Employment Type

Full-Time

Experience

years

Vacancy

1

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