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Data Engineer

MetLife -
Galway, County Galway

Apply Now

Job details

Full-time
10 days ago

Qualifications

CI/CD
Power BI
Data modelling
Azure
Computer Science
Data lake
Engineering
Spark
SQL
Bachelor's degree
Agile
Python
Analytics
SDLC

Full job description

General Information

Location

Galway, Ireland

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

Posted Date

23-Jul-2026

Job ID

19324

Description and Requirements

The Team You Will Join

When you join MetLife’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments. In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward.

The Opportunity

MetLife Ireland which is located in both Dublin and Galway City Centres. Dublin is our Operational Headquarters for our Europe Region. In addition, both Dublin and Galway have a significant number of our colleagues that are focused on supporting our broader EMEA and Global functions. They are homes to our Actuarial, Audit, Compliance, Finance, IT, Legal, Operations, Risk and Treasury Teams.

This role provides leadership in an AGILE & Dev Ops Methodology environment promoting teamwork and innovation. Design, develop, and implement solutions leveraging data assets and follow the full systems development lifecycle (SDLC). Completes development by coordinating requirements, schedules, and activities; driving team meetings; troubleshooting development and production problems across multiple environments and operating platforms. Work collaboratively with cross functional teams and delivers best in class customer interactions.

Key Responsibilities

Data Engineering & Development

Design, develop, and maintain scalable ETL/ELT data pipelines.
Build ingestion frameworks for structured, semi-structured, and unstructured data.
Develop batch and near real-time data integration solutions.
Implement reusable and configurable data processing frameworks.
Optimise data processing performance, reliability, and cost efficiency.
Cloud Data Platform
Develop solutions using modern cloud technologies such as: Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Azure SQL / Synapse, Apache Spark / PySpark
Support migration and modernisation initiatives across the enterprise data platform.

Data Modelling & Analytics Enablement

Design dimensional and business-focused data models.
Develop curated and consumption-ready data assets.
Support semantic models and reporting platforms such as Power BI.
Collaborate with business teams to translate requirements into scalable data solutions.

Data Quality & Governance

Implement automated data quality controls.
Support lineage, metadata, and data governance initiatives.
Ensure compliance with enterprise data security, privacy, and retention policies.
Participate in data reconciliation and root cause analysis activities.

DevOps & Engineering Excellence

Implement CI/CD pipelines and Infrastructure-as-Code where applicable.
Participate in code reviews and enforce engineering standards.
Improve observability, monitoring, alerting, and operational support.
Contribute to platform automation and self-service capabilities.

Stakeholder Engagement

Work directly with business stakeholders to understand data requirements.
Support project planning, estimation, and sprint execution.
Collaborate with enterprise architects and solution teams on strategic initiatives.
Mentor junior engineers and provide technical guidance.

Required Qualifications

Education

Bachelor's Degree in Computer Science, Information Systems, Engineering, Mathematics, or related discipline.

Experience

6-10 years of experience in Data Engineering, Data Warehousing, or related fields.
Experience delivering cloud-based enterprise data solutions.
Experience working within Agile delivery teams.

Required Technical Skills

Data Engineering
Advanced SQL development
Data Warehousing concepts
ETL/ELT design patterns
Dimensional modelling
Data integration architecture
Programming
Python
PySpark
SQL
Azure Data Factory
Azure Databricks
Azure Data Lake
Azure SQL / Synapse Analytics
Azure DevOps

Reporting & Analytics

Power BI
Semantic models
Reporting optimisation

Preferred Qualifications

Benefits We Offer

Our Ireland benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We are committed to employee care by delivering comprehensive inclusive offerings and cultivating an environment that drives professional growth, purposeful work, and a supportive culture. Our benefits package includes hybrid work, career development and professional qualification support, full private health insurance for employees and their immediate family members, income protection, defined contribution pension benefits and much more!

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

Apply Now

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engineer devops & data pipelines jobs

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