Azure Data Engineer. (GG10)
Data Engineer
Role Overview
This role involves designing, developing, and maintaining cloud-native data solutions while working in an Agile environment.
Key Responsibilities
- Modern Data Platform Development:
- Build data lake components on cloud-based platforms.
- Design and develop data marts for business analysts and data scientists.
- Data Engineering & Pipelines:
- Design data pipelines to integrate structured, semi-structured, and unstructured data from multiple sources.
- Implement ETL/ELT processes to transform and cleanse data.
- Ensure data quality and transformation rules align with enterprise standards.
- Work with Medallion architecture and implement best practices for data modeling.
- Agile & DevOps Practices:
- Deliver solutions using Agile methodologies in a CI/CD-driven environment.
- Work on containerized solutions (Azure Kubernetes) and scheduling tools like Azure Scheduler.
- Follow secure coding practices and authentication/authorization protocols.
Candidate Qualifications
- Education: Bachelor's degree in Computer Science or equivalent.
- Experience:
- 4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI).
- 2+ years of experience in cloud-based data platform development.
- Expertise in building Azure-based data pipelines, including:
- Azure Data Factory / Synapse
- DataBricks / Synapse Spark Pool
- Cosmos DB
- Azure Data Lake Storage (ADLS)
- Dedicated SQL Pool / Azure SQL
- Azure Logic Apps
- Hands-on experience with data transformation & cleansing using Spark, Python, R, SQL.
- Strong understanding of CI/CD, test-driven development, and domain-driven design.
Skills & Competencies
- Technical Expertise:
- Proficiency in Python, SQL, Spark, Azure Data Factory, and ETL processes.
- Experience in secure coding, authentication, and monitoring tools like Veracode, MS Entra, PingOne.
- Working knowledge of Azure Kubernetes, Azure DevOps, SonarQube, and Azure AppInsights.
- Soft Skills:
- Strong communication and collaboration in global, multi-cultural environments (Japanese experience is a plus).
- Able to work in a high-paced, diverse environment with a can-do attitude.
- Language:
- Business proficiency in English; Japanese language is a plus.
This is a great opportunity to be part of MetLife's technology transformation journey.
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.
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!
#BI-Hybrid
Skills Required
- Bachelor's degree in Computer Science or equivalent
- 4 - 8 years of experience in data engineering or application development
- 2+ years of experience in cloud-based data platform development
- Expertise in building Azure-based data pipelines
- Hands-on experience with data transformation & cleansing
- Strong understanding of CI/CD and test-driven development
What the Team is Saying
.png)
.png)
MetLife Compensation & Benefits Highlights
-
Retirement Support — Retirement benefits combine a 401(k) with company match and a company‑funded cash‑balance pension. This uncommon pairing strengthens long‑term security.
-
Parental & Family Support — Family supports include paid parental leave, adoption assistance, caregiving resources, fertility coverage, and practical travel supports for nursing parents. These provisions go beyond core insurance to address real‑world family needs.
-
Leave & Time Off Breadth — Time away includes a minimum of 22 days of PTO annually and a paid volunteer day, alongside bereavement and other leave options. This breadth provides meaningful flexibility for rest and life events.
MetLife Insights
What We Do
We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
Gallery
MetLife Teams
MetLife Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together
