Find Senior manager of data engineering Jobs in Kill, Ke

Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
AI Engineering Lead - Senior Manager - Data & AI - Technology Consulting - Advisory
PwC —Dublin, County Dublin
- Full-time
- Azure
- Research
- SQL
Senior Civil Engineer , Data Centre Design Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AutoCAD
- Engineering
- Microsoft Office
Senior Data Centre Design Manager, Data Centre Design Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Project management
Finance Manager, EMEA Data Center Finance
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Microsoft Access
- Oracle
Senior Manager of Security Engineering - AI/ML
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- DevOps
- Engineering
- AWS
Sr. Mechanical Engineer (CFD), Global Engineering Strategy
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AutoCAD
- CAD
- Engineering
Senior Design Program Manager, EMEA/APAC Data Center Design Engineering
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Project management
- AI
Data & AI Consultant – Senior Consultant to Manager
Grant Thornton —Dublin, County Dublin
- Full-time
- Azure
- SQL
- Analysis skills
Senior Operations Manager
Jabil Circuit —Dublin, County Dublin
- Full-time
- English
- Organisational skills
- Agile
Sr. Technical Program Manager, AWS Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- AWS
Senior Product Engineering Manager - HVAC (EU market)
Johnson Controls —Dublin, County Dublin
- Full-time
- System design
- English
- Master's degree
International Strategy & Operations Senior Manager, Commerce (German Speaking)
Whatnot —Dublin, County Dublin
- €131,000–€175,000 a year
- Full-time
- Hybrid work
- English
- SQL
- Analysis skills
- Work from home
Information Technology Cross-Function Vice President
Sumitomo Mitsui Banking Corporation —Dublin, County Dublin
- €72,000–€134,000 a year
- Hybrid work
- Computer Science
- SQL
- Analysis skills
- Annual leave
Databricks Lead Engineer | Senior Manager | Data & AI | Advisory
PwC —Dublin, County Dublin
- Full-time
- Azure
- Research
- SQL
Senior Manager, Operations Supply Planner
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- ERP systems
- Analysis skills
Senior Global Strategy Engineer, Global Engineering Strategy
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Engineering
- AWS
- Bachelor's degree
Senior Manager Data Architecture and AI
Aptiv plc —Dublin, County Dublin
- Azure
- Computer Science
- Java
- Gym membership
International Strategy & Operations Senior Manager, Commerce
Whatnot —Dublin, County Dublin
- €131,000–€175,000 a year
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Communication skills
- Work from home
Senior Technical Operations Engineer, Manufacturing Operations
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Data analysis skills
- Master's degree

I want to receive the latest job alerts for senior manager of data engineering in kill, ke

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

senior manager of data engineering jobs near kill, ke

Transformation Manager jobs in Dublin, County Dublin

Senior Technical Engineer jobs in Dublin, County Dublin

Strategy Manager jobs in Dublin, County Dublin

Finance Manager jobs in Dublin, County Dublin

Data Consultant jobs in Dublin, County Dublin

Senior Data Center Engineer jobs in Dublin, County Dublin

Technical Program Manager jobs in Dublin, County Dublin

Senior Engineer jobs in Dublin, County Dublin

Supply Chain Specialist jobs in Dublin, County Dublin

Senior Operations Manager jobs in Dublin, County Dublin

Vice President Of Information Technology jobs in Dublin, County Dublin

Senior Mechanical Engineer jobs in Dublin, County Dublin

Transformation Manager jobs in Cork, County Cork

Project Manager jobs in County Mayo

Contracts Manager jobs in County Cork

Production Manager jobs in Dublin, County Dublin

Transformation Manager jobs in County Dublin

Visa Sponsorship, Network Engineer jobs in Dublin, County Dublin

Remote Software Engineer jobs in Dublin, County Dublin

Senior Technical Engineer jobs in County Cork

Senior Manager of Data Engineering

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Spark
SQL
AWS
Distributed systems
AI
Leadership
Python
Analytics
SDLC

Full job description

JOB DESCRIPTION

Join us and shape the future of data engineering at JPMorganChase. You will have the opportunity to drive innovation, accelerate adoption of cutting-edge platforms, and empower teams to deliver impactful data solutions. We value your leadership and technical expertise, and offer an environment where you can grow your career and make a real difference. Be part of a collaborative team that values diverse perspectives and continuous learning.

As a Senior Manager of Data Engineering at JPMorgan Chase within Enterprise Platforms, you will lead teams responsible for onboarding enterprise data and delivering scalable data pipelines on the Palmos platform. You will provide technical leadership and strategic direction to accelerate adoption of Palmos, enabling domain-driven data onboarding and delivery of curated data products aligned with our data mesh architecture. You will play a key role in enabling analytics, reporting, and AI/ML use cases across the firm. Your work will help shape our approach to data engineering and drive impactful outcomes for the business.

Job Responsibilities:

Provide overall direction, oversight, and coaching for teams of data engineers delivering data onboarding and pipeline solutions
Lead onboarding of enterprise datasets into Palmos, enabling standardized ingestion, transformation, and publishing of curated data assets
Own delivery of scalable data pipelines and workflows using Databricks, Spark, and cloud-native technologies
Ensure alignment to data mesh principles, including domain ownership, self-service enablement, and federated governance
Drive collaboration across platform, domain, governance, and business teams to execute a complex book of work
Define and enforce best practices for data engineering, including data modeling, quality, observability, pipeline reliability, and adoption of platform capabilities and reusable frameworks to improve efficiency and reduce time-to-insight
Implement data security, entitlements, and governance controls to ensure protection of enterprise data
Identify risks, dependencies, and delivery challenges and escalate as needed to ensure successful execution
Enable downstream analytics, reporting, and AI/ML use cases through trusted, high-quality data
Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establish measurable expectations (e.g., throughput, defect reduction, reliability) and ensure consistent validation, security, resiliency, and reuse of proven patterns
Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets

Required Qualifications, Capabilities, and Skills:

Experience leading and scaling data engineering teams and managing delivery portfolios
Hands-on experience with Databricks, Spark/PySpark, Python, and SQL
Strong understanding of modern data architectures (lakehouse, data mesh, distributed systems)
Experience building and maintaining scalable data pipelines and data platforms
Knowledge of cloud platforms (AWS), CI/CD, and software development lifecycle practices
Strong understanding of data governance, security, and access control frameworks
Ability to collaborate effectively across global teams and influence both technical and business stakeholders
Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.

Preferred Qualifications, Capabilities, and Skills:

Experience with Databricks lakehouse, Delta Lake, and medallion architecture
Familiarity with enterprise data platforms such as Palmos and domain-based data product models
Experience supporting analytics, reporting, and AI/ML workloads with engineered data pipelines
Exposure to data quality, observability, and metadata-driven pipeline frameworks
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 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

senior manager of data engineering jobs in kill, ke

Senior Manager of Data Engineering

AI Engineering Lead - Senior Manager - Data & AI - Technology Consulting - Advisory

Senior Civil Engineer , Data Centre Design Engineering

Senior Data Centre Design Manager, Data Centre Design Engineering

Finance Manager, EMEA Data Center Finance

Senior Manager of Security Engineering - AI/ML

Sr. Mechanical Engineer (CFD), Global Engineering Strategy

Senior Design Program Manager, EMEA/APAC Data Center Design Engineering

Data & AI Consultant – Senior Consultant to Manager

Senior Operations Manager

Sr. Technical Program Manager, AWS Manufacturing Operations

Senior Product Engineering Manager - HVAC (EU market)

International Strategy & Operations Senior Manager, Commerce (German Speaking)

Information Technology Cross-Function Vice President

Databricks Lead Engineer | Senior Manager | Data & AI | Advisory

Senior Manager, Operations Supply Planner

Senior Global Strategy Engineer, Global Engineering Strategy

Senior Manager Data Architecture and AI

International Strategy & Operations Senior Manager, Commerce

Senior Technical Operations Engineer, Manufacturing Operations

I want to receive the latest job alerts for senior manager of data engineering in kill, ke

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected