Find Quality/failure analysis engineer Jobs

Technical Analyst - Enterprise Technology Services
Apple —Cork, County Cork
- Microsoft Excel
- Computer Science
- Master's degree
4h
Lead Software Engineer - Infrastructure Platforms
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
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Sr Principal Analog Design Engineer
onsemi —Cork, County Cork
- Full-time
- Recruiting
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- Communication skills
Maintenance Technician
Viatris —Inverin, County Galway
- Overtime
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Senior Production Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Computer Science
- Bachelor's degree
- No degree
Quick apply
3d
LV SWG Technical Project Manager
Vertiv —Bun na hAbhann, County Donegal
- AutoCAD
- CAD
- Engineering
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ABB Limited —DUBLIN 18, County Dublin
- Overtime
- Remote
- Microsoft Excel
- Maintenance
- English
- Annual leave
- Employee assistance program
Quick apply
3d
Commissioning Lead (Mechanical)
Johnson Controls —Dublin, County Dublin
- Full-time
- Engineering
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Senior Line Equipment Technician (Evening Shft)
Nipro Vascular Ireland Ltd. —Galway, County Galway
- €55,000–€57,000 a year
- Full-time
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- Employee assistance program
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Quick apply
Commercial Operations Engineer
Grandstand —Dublin, County Dublin
- AI
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Quick apply
23h
Mechanical Day Technician
Veolia Energy Services Ireland Limited. —Clondalkin, County Dublin
- Full-time
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Greenvolt —Waterford, County Waterford
- Full-time
- Engineering
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- IT
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Integer Holdings Corporation —Wexford, County Wexford
- Full-time
- Engineering
- English
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Electrical Day Technician
Veolia Energy Services Ireland Limited. —Clondalkin, County Dublin
- Full-time
- No degree
- In-person
- Mechanical knowledge
Quick apply
7d

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Technical Analyst - Enterprise Technology Services

Apple -
Cork, County Cork

Apply Now

Job details

4 hours ago

Qualifications

Elasticsearch
Microsoft Excel
Computer Science
Big data
Business analysis
Google Cloud Platform
Technical support
Tableau
Master's degree
SQL
AWS
Bachelor's degree
Distributed systems
Scripting
Kafka
Manufacturing
Data visualisation
AI
Python

Full job description

Enterprise Technology Services (ETS) is part of IS&T and delivers global-scale platforms and services that keep Apple's operations secure and running. The team manages identity, device security, and anti-abuse platforms - covering everything from manufacturing and repairs to software updates and activations. ETS also oversees supply chain, manufacturing, and partner integration platforms, protecting data on more than 2.5 billion devices worldwide. And when Apple prepares for a global product launch, ETS owns the systems that ramp factory production managing serial numbers, network credentials, and verified software.

The Insight team runs one of Apple's most critical Big Data ecosystems - a multi-petabyte, highly-available infrastructure that underpins manufacturing operations for every Apple product, globally. Every iPhone, iPad, iWatch and Mac has touched our systems. We are building a new EMEA operational team in Cork-not only as an extension of our US/India/China operations, but also a team with its own identity, perspective, and contribution to how Insight runs at global scale. This is a new regional team being built from the ground up, and the people who join early will help shape what it becomes. This Technical Analyst role is one of those foundational positions. It sits at the intersection of customer experience, data, and operational improvement - supporting the internal Apple teams and external manufacturing partners who depend on our platform to make critical business decisions every day. It is a role defined by the breadth of what it touches. You will develop a deep understanding of Apple's manufacturing data ecosystem, build trusted relationships across global teams, and over time, open doors to many directions within Apple engineering, program management, data, operations, and beyond. If you are intellectually curious, technically capable, and want to learn how Apple's supply chain works from the inside, this is an exceptional place to start.

Description
You will work within a fast-moving operational team supporting one of Apple's most complex and business-critical data platforms. Your work directly enables the Apple engineering and operations teams that build every Apple product.
Own the end-to-end lifecycle of support requests - from understanding the end user's problem, through investigation and root cause analysis, to resolution and clear documentation that leaves the system better than you found it
Communicate with confidence across a diverse customer base - internal Apple engineering and operations teams, as well as external manufacturing partners - translating technical findings into clear, actionable information for audiences at every level
Lead through ambiguity: take ownership of complex, cross-functional issues on a large-scale data platform and drive them forward even when the full picture is not immediately clear; teams across the organization rely on the clarity and direction you provide
Identify patterns across issues - surface systemic weaknesses, data quality problems, and recurring failure modes, and work with internal DevOps/SRE and engineering teams to address root causes rather than symptoms.
Analyze and interpret data to support business decision-making, ensuring accuracy and integrity at every step; prepare clear reports and visualizations that give stakeholders genuine insight
Conduct requirements gathering and contribute to platform improvement initiatives - you will interact directly with customers to understand their workflows, frustrations, and unmet needs
Create and maintain documentation: SOPs, process flows, and knowledge base content that raises the baseline capability of the whole team
Collaborate with testing and engineering teams on UAT, release validation, and feature feedback cycles - your customer proximity makes you a critical voice in how the platform evolves
Contribute to a culture of continuous improvement - bring data, observations, and hypotheses to the team with the confidence to challenge what is not working
There is opportunity to travel and work on-site with customers across EMEA and beyond - gaining direct exposure to how Apple's manufacturing partners operate and deepening the business context you bring back to the team

Preferred Qualifications
Experience with data visualization tools - Tableau, Grafana, or equivalent - for producing operational dashboards and business reporting
Python scripting experience for data extraction, automation, or investigation workflows
Familiarity with big data, distributed systems, or cloud platforms - exposure to technologies such as Kafka, Elasticsearch, Druid, AWS, or GCP; a basic understanding of how data moves and is stored at scale is sufficient
Demonstrated use of AI tools in day-to-day work - using LLMs, AI-assisted development, or automation tools to improve the quality and speed of your output; comfort with AI as a working practice, not just an awareness of it. Experience with AI agent design or agentic workflow patterns is a significant advantage - this team is building operational practices where intelligent automation is a first-class capability
Exposure to or experience supporting API integrations and MCP (Model Context Protocol) implementations - familiarity with how modern services and AI tooling communicate at an integration level is increasingly relevant to how this platform evolves
BS or MS in Computer Science, Information Systems, Data Science, or a related discipline; equivalent professional experience will be fully considered

Minimum Qualifications
Proven experience in a technical support, business analysis, or data analyst role within a large-scale enterprise environment - L2/L3 support experience is a strong indicator
Good SQL skills and experience preparing reports and analysis using Excel or equivalent tools - able to write complex queries against large datasets, and translate findings into clear, structured outputs for business stakeholders
Clear, confident communication - written and verbal - with the ability to adapt your message for technical engineers, operational stakeholders, and senior business leaders equally
Analytical mindset: able to take incomplete or ambiguous information, form a structured hypothesis, and drive toward a conclusion.

Apply Now

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quality/failure analysis engineer jobs

Technical Analyst - Enterprise Technology Services

Lead Software Engineer - Infrastructure Platforms

Sr Principal Analog Design Engineer

Maintenance Technician

Senior Production Engineer

LV SWG Technical Project Manager

Field Service Engineer

Commissioning Lead (Mechanical)

Senior Line Equipment Technician (Evening Shft)

Commercial Operations Engineer

Mechanical Day Technician

Solar Maintenance Technican

NPI Quality Engineer III

Electrical Day Technician

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