Data Engineer III (Databricks)

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

Are you ready to shape the future of data engineering at JPMorgan Chase? Join a dynamic team where your unique skills will help build innovative solutions and contribute to a winning culture. You’ll have opportunities for career growth, collaborate with talented professionals, and make a real impact on our business objectives. Your expertise will empower our teams and drive success across the firm.

As a Data Engineer at JPMorgan Chase as a part of our agile team, you will design and deliver reliable data collection, storage, access, and analytics solutions that are secure, stable, and scalable. You will develop, test, and maintain essential data pipelines and architectures, supporting various business functions to achieve the firm’s goals. Working with us, you will use your skills to drive innovation and help shape our team culture. Together, we focus on excellence, collaboration, and continuous improvement.

Job 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

Required qualifications, capabilities, and skills

• 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.

Preferred qualifications, capabilities, and skills

• MLOps skills.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Promote data solutions using Databricks on a new team transforming employee tools and delivering meaningful impact.