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**Lead Software Engineer (Big Data) Dublin, Ireland** - Manage data integration across diverse systems, build extensible solutions - Provide complex data analysis for BI integration, collaborate cross-functionally - Proven leadership, Big Data tech proficiency (AWS, Spark, Kafka) essential - Expertise in data warehouse, modeling, lake, and security concepts - Strong troubleshooting, analytical, and communication skills; Java, SQL, NoSQL experience - Work remotely, scale high-performance distributed systems

Compensation: Not specified
City: Dublin
Country: Ireland

Full Job Description

Location: Dublin, Ireland

At JPMorgan Chase, youll join a team that values diverse perspectives and encourages bold thinking. We foster a supportive, blame-free environment where you can take risks, learn, and grow. Youll have the autonomy to work on meaningful projects while receiving mentorship and support. Were excited to see how your unique background and ideas will help shape our future together.

As a Manager of Software Engineering at JPMorgan Chase as a part of Employee Platforms, you will lead and inspire a group of talented engineers to deliver secure, stable, and scalable technology solutions. You will play a key role in designing, developing, and troubleshooting software components that drive our state-of-the-art products. Youll collaborate with cross-functional teams and help shape the technical direction of our projects. Your leadership will empower your team to innovate and excel.

Job Responsibilities:

Manage data integration and analysis across diverse systems

Build extensible data acquisition and integration solutions to meet client requirements

Implement processes to extract, transform, and distribute data from various sources

Provide expertise in problem-solving and complex data analysis for business intelligence integration

Collaborate with internal product development and cross-functional teams

Work with remote and geographically distributed teams to deliver consumable products

Required Qualifications, Capabilities, and Skills:

Experience in data integration projects using Big Data technologies, preferably in human resources analytics

Proven ability to manage engineering teams

Hands-on experience with AWS Data Warehousing and database platforms (Databricks preferred), including EMR, S3, AWS Glue, Lambda, Apache Airflow, and Infrastructure as Code tools (e.g., Terraform, CloudFormation)

Proficiency in Spark engineering with PySpark or Scala for scalable data pipelines

Experience building streaming applications using Kafka

Strong background in CI/CD using Jenkins, Git, Artifactory, YAML, and Maven for cloud deployments

Knowledge of Big Data querying tools such as Athena, RDS, and Databricks

Experience integrating data from various file-storage formats (Parquet, ORC, Avro) and table formats (Delta Lake, Iceberg)

Familiarity with Java open-source tools, API standards, JUnit, Spring Boot, and Swagger

Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot)

Technical expertise in building scalable, high-performance distributed systems

Knowledge of Data Warehousing, Data Modeling, Data Lake, and Data Security concepts

Strong problem-solving, troubleshooting, and analytical skills

Excellent communication, presentation, and interpersonal skills

Experience with Oracle/SQL and NoSQL data stores such as DynamoDB

Ability to quickly learn new technologies in a dynamic environment

Preferred Qualifications, Capabilities, and Skills:

Experience leading data integration projects in large, complex organizations

Advanced knowledge of cloud-based data solutions

Familiarity with emerging technologies in data engineering and analytics

Demonstrated ability to mentor and develop engineering talent

Experience working in agile development environments

Strong track record of delivering innovative solutions

Commitment to fostering an inclusive and collaborative team culture

Lead innovative software projects, promote data integration, and empower your team in a collaborative, growth focused environment.

Full Job Description