Senior Data Engineer - AWS/Databricks Data Pipelines

Next Frontier Capital; Dublin; On-site; EUR 70,000 - 110,000; Full time

Job summary

JPMorgan Chase is seeking a Data Engineer to design and deliver reliable data collection, storage, access, and analytics solutions. You will develop data pipelines, ensure security, and support multiple business functions.

The role emphasizes scalable architectures and cross-functional collaboration. As part of an agile team, you will work with Python, Databricks, and SQL, with opportunities for career growth.

Qualifications

• Formal training or certification on software engineering concepts and 3 years applied experience.
• Good working knowledge of AWS, Databricks, and Python.
• Experience across the data lifecycle.
• Advanced at SQL, including joins and aggregations.
• Working understanding of NoSQL databases.
• Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
• Utilize AWS Cloud Services for developing, deploying, and managing applications at scale.
• Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing.

Responsibilities

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

Skills

Python

SQL

Data pipelines

Data analytics

Data security

Education

Software engineering certification

Tools

AWS

Databricks

CI/CD

NoSQL

Job description

JPMorgan Chase is seeking a Data Engineer to design and deliver reliable data collection, storage, access, and analytics solutions. You will develop data pipelines, ensure security, and support multiple business functions.

The role emphasizes scalable architectures and cross-functional collaboration. As part of an agile team, you will work with Python, Databricks, and SQL, with opportunities for career growth.