Find Documentation platform engineer Jobs in Kill, Ke

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JPMorganChase —DUBLIN 2, County Dublin
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CarGurus —Dublin, County Dublin
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Technology Infrastructure Assistant Vice President
Sumitomo Mitsui Banking Corporation —Dublin, County Dublin
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Solance —Dublin, County Dublin
- Full-time
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Quick apply
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Tether Operations Limited —Dublin, County Dublin
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Amazon Data Services Ireland Limited —Dublin, County Dublin
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The Clorox Company —Dublin, County Dublin
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CarTrawler —Dublin, County Dublin
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Embedded Software Engineer - Trailer Pulse
ZF —DUBLIN 2, County Dublin
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ESG Data & Reporting Lead
Davy —Dublin, County Dublin
- Hybrid work
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ID Install Tech, DCC Communities
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
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9d

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Data Engineer III - Databricks

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Spark
NoSQL
SQL
AWS
Agile
AI
Python
Analytics
SDLC

Full job description

JOB DESCRIPTION

Are you ready to push the limits of what's possible in data engineering? At JPMorganChase, you'll have the opportunity to impact your career and work in an environment that values innovation and collaboration. You'll join a team where your skills are celebrated, and your growth is supported. We empower you to solve complex challenges and make a difference across the firm. Discover how you can shape the future of data with us.

As a Data Engineer III in Enterprise Platforms, you will join an agile team focused on onboarding enterprise data and building scalable data pipelines on the Palmos platform. You will design, develop, and maintain secure, reliable, and scalable data solutions that support analytics, reporting, and AI/ML use cases across the firm. You will collaborate with domain teams, platform engineering, and governance partners to deliver high-quality curated datasets aligned to our data mesh architecture and Palmos platform standards. You will play a key role in advancing our data capabilities and driving innovation.

Job Responsibilities:

Develop workflows and ELT data pipelines using Python, Spark/PySpark, and Databricks
Onboard enterprise datasets into Palmos, including ingestion, transformation, and validation of data assets
Build, test, and maintain scalable data pipelines and data architectures that support enterprise analytics use cases
Apply data engineering best practices for performance optimization, reliability, and maintainability
Support implementation of data security, governance, and entitlements frameworks to protect enterprise data
Use SQL extensively and work with both relational and NoSQL data stores
Partner with stakeholders to understand data requirements and translate them into production-ready solutions
Apply SDLC practices including CI/CD, testing, and operational monitoring to ensure pipeline stability
Contribute to reusable frameworks and standards to accelerate onboarding and pipeline delivery
Identify data issues, anomalies, and optimization opportunities to improve data quality and performance
Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required Qualifications, Capabilities, and Skills:

Hands-on experience with Databricks, Spark/PySpark, Python, and SQL
Experience developing and maintaining data pipelines and data processing systems
Understanding of the data lifecycle, including ingestion, transformation, storage, and consumption
Knowledge of cloud platforms (AWS) and distributed data processing
Experience with SDLC practices including CI/CD, testing, and deployment
Strong problem-solving skills and ability to troubleshoot data and pipeline issues
Ability to collaborate effectively within agile teams and across stakeholders
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred Qualifications, Capabilities, and Skills:

Experience with Databricks lakehouse, Delta Lake, and medallion architecture
Familiarity with enterprise data platforms such as Palmos and data mesh principles
Exposure to data quality, observability, and metadata management tools
Experience supporting analytics, reporting, or AI/ML workloads
Experience working within EU regulatory and data protection environments (e.g., GDPR)

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 Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

Apply Now

Refine Your Search

documentation platform engineer jobs in kill, ke

Data Engineer III - Databricks

Network Operations Engineer, GEN Operations

- Data Engineer/Analytics Engineer

Data Engineer

Data Center Technician, Data Center Ops

AI/ML Associate Engineer

PLATFORM SUPPORT ENGINEER

API Test Infrastructure Engineer

Associate Systems Administrator

Full Stack Software Engineer

Technology Infrastructure Assistant Vice President

Senior Software Engineer

Senior QA Tester

Senior UX Researcher (100% Remote Worldwide)

EMEA Data & Digital Program Manager

AI & Data Security Engineer

Service Desk Engineer

Embedded Software Engineer - Trailer Pulse

ESG Data & Reporting Lead

ID Install Tech, DCC Communities

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