Find Databricks data Jobs in Dublin, D

Software Engineer III (Databricks)
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Oracle
- Java
- AWS
12d
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Azure
- Microsoft Office
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
1d
Software Engineer III - AI & IoT
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Azure
- System design
- Java
Principal Data Product Engineer — Data Ontology & Metadata
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
3h
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
1d
Lead DevOps Engineer – AI & Data (Foundation Models)
Mastercard —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- AWS
8h
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
8d
Customer & Consumer Data Product Owner
Glanbia Foods —DUBLIN 24, County Dublin
- Hybrid work
- Azure
- Master's degree
- SQL
Senior Cloud Engineer/ Cloud Architect
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
- AWS
Vice President. Client Partner. Banking & Capital Markets.
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Management
Director of Data Engineering
2K —Dublin, County Dublin
- DevOps
- Data analysis skills
- AI
Quick apply
Maximo Consultant
Nucleo Consulting Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
Quick apply
Business Development Representative
Fivetran —Dublin, County Dublin
- Full-time
- Sales
- Research
- No degree
- Annual leave
- Sick pay
Quick apply
11d
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
5d
Senior Maximo Consultant
Nucleo Consulting Limited —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
Quick apply
Commercial Legal Counsel - EMEA
DoiT —Dublin, County Dublin
- Remote
- Azure
- Doctoral degree
- Sales
- Annual leave
Quick apply
7d
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Principal Data Product Engineer — Data Ontology & Metadata
AstraZeneca —Dublin, County Dublin
- Doctoral degree
- Computer Science
- Master's degree
3h

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Software Engineer III (Databricks)

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time
12 days ago

Qualifications

CI/CD
Data modelling
Oracle
Data lake
Big data
Spark
NoSQL
Git
Java
AWS
Analysis skills
Distributed systems
Scala
Terraform
Human resources
Mentoring
GitHub
Agile
S3
Apache
DynamoDB
Maven
AI
Jenkins
Communication skills
MySQL
Analytics

Full job description

JOB DESCRIPTION

Join a team where your ideas and expertise help shape cutting-edge technology. At JPMorgan Chase, we value diverse perspectives and encourage you to think big, take risks, and grow your skills. You'll work in a supportive environment that fosters learning, mentorship, and career advancement. Your contributions will make a real difference as we build the future together.

As a Software Engineer III at JPMorgan Chase as a part of Employee Platforms, you will design, develop, and deliver secure, stable, and scalable software solutions. You will collaborate with talented colleagues to enhance our technology products and tackle complex technical challenges. Your work will help drive innovation and support our mission to deliver best-in-class solutions. You'll have opportunities to expand your skills and grow within your role.

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
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)
Strong background in CI/CD using Jenkins, Git, Artifactory, YAML, and Maven for cloud deployments
Proficiency in Spark engineering with PySpark or Scala for scalable data pipelines
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)
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 experience with Java open-source and API standards
Excellent problem-solving, troubleshooting, and analytical skills
Effective communication, presentation, and interpersonal skills, with the ability to explain complex concepts clearly
Experience with Oracle/MySQL and NoSQL data stores such as DynamoDB
Ability to quickly learn new technologies in a dynamic environment

Preferred Qualifications, Capabilities, and Skills:

Experience working in agile development environments
Familiarity with emerging technologies in data engineering and analytics
Demonstrated ability to collaborate across teams and functions
Commitment to continuous learning and professional growth
Strong track record of delivering innovative solutions
Experience mentoring or supporting junior engineers

ABOUT US

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.

ABOUT THE TEAM

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.

Apply Now

Refine Your Search

databricks data jobs in dublin, d

Software Engineer III (Databricks)

Principal Data Scientist

Senior Data Engineer

Software Engineer III - AI & IoT

Principal Data Product Engineer — Data Ontology & Metadata

Data Engineering Lead – English Speaker – Office Based

Lead DevOps Engineer – AI & Data (Foundation Models)

Senior Manager of Data Engineering

Customer & Consumer Data Product Owner

Senior Cloud Engineer/ Cloud Architect

Vice President. Client Partner. Banking & Capital Markets.

Director of Data Engineering

Maximo Consultant

Business Development Representative

Partner Solutions Architect

Senior Maximo Consultant

Commercial Legal Counsel - EMEA

Data Engineer

Principal Data Product Engineer — Data Ontology & Metadata

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