Senior Data Engineer III: Pipelines, Databricks & AWS

JPMorganChase; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

JPMorgan Chase in Dublin is seeking a Data Engineer to design and deliver scalable data pipelines, ELT workflows, and analytics solutions that support enterprise data across functions.

As part of an agile team, you will build, test, and maintain data pipelines, optimize data models, and enable secure data access for analytics and reporting across the firm. You will work with AWS, Databricks, Python, SQL, and NoSQL databases, while focusing on data security and continuous improvement.

Qualifications

• Formal training or certification in software engineering concepts or data engineering is preferred.
• 3+ years of applied data engineering experience is expected.
• Proficiency with AWS, Databricks, and Python for data pipelines and analytics.

Responsibilities

• Develop workflows and ELT pipelines using Python and Databricks.
• Support review of controls to ensure protection of enterprise data.
• Implement data security using entitlements frameworks.
• Update data models based on new use cases.
• Use SQL and understand NoSQL databases.

Skills

Python

Databricks

AWS

SQL

NoSQL databases

CI/CD pipelines

Data security

ELT pipelines

Tools

Databricks

AWS

Job description

JPMorgan Chase in Dublin is seeking a Data Engineer to design and deliver scalable data pipelines, ELT workflows, and analytics solutions that support enterprise data across functions.

As part of an agile team, you will build, test, and maintain data pipelines, optimize data models, and enable secure data access for analytics and reporting across the firm. You will work with AWS, Databricks, Python, SQL, and NoSQL databases, while focusing on data security and continuous improvement.