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Build and maintain scalable batch and streaming data pipelines, ingestion processes, curated datasets, and data models for analytics and data products. Support data quality monitoring, documentation, governance, security, troubleshooting, code reviews, testing, and CI/CD. Collaborate with analysts, product owners, developers, and DevOps teams while using Azure services, Python or comparable programming languages, SQL, Spark, Databricks, Synapse, and orchestration tools.
Description and Requirements
The MetLife EMEA Technology organization is evolving to enable MetLife's New Frontier strategy. With a strong vision in place, we are a function focused on driving digital technology strategies for key technology functions within MetLife including. In partnership with our business leaders, we develop and deliver seamless technology experiences to our employees across the entire employee lifecycle. Our vision and mission is to create innovative, transformative and contemporary technology solutions to empower our leaders and employees so they can focus on what matters most, our customers. We are technologists with strong business acumen focused on developing our talent to continually transform and innovate.
We are seeking a Data Engineer with strong experience to design, develop, and maintain scalable data pipelines. The ideal candidate will work closely with developers, product managers, and DevOps teams to ensure high-quality, reliable, and performant software delivery across web platforms.
Key Relationships:
Internal Stake Holder - EMEA ART Leader, ART Leadership team, India EMEA Technology AVP, and Business process Owners for EMEA Technology.
Key Responsibilities:
• As a Data Engineer, you'll help build and maintain reliable, scalable data pipelines and curated datasets that power analytics, reporting, and data products. You'll work with modern cloud and data engineering tools, learning best practices around data quality, security, and performance.
• Assist in building and maintaining batch and/or streaming ETL/ELT pipelines.
• Develop and support data ingestion from internal systems and external sources (APIs, files, databases including structure, semi-structured or unstructured data).
• Develop notebook to transform curated data into SCV specific unified data model
• Help model and curate datasets for analytics (dimensional models, curated "gold" tables, semantic layer inputs).
• Support data quality checks, monitoring, and alerting (validation rules, reconciliation).
• Collaborate with analysts, product owners, and engineers to understand data needs and deliver datasets.
• Contribute to documentation, data dictionaries, and runbooks.
• Participate in code reviews and follow engineering standards (naming, testing, CI/CD).
• Troubleshoot pipeline failures and support incident resolution with guidance from senior engineers.
• Follow data governance and security policies (PII handling, access control, retention).
Education:
Technical Stack:
Soft Skills:
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!
#BI-Hybrid
The MetLife EMEA Technology organization is evolving to enable MetLife's New Frontier strategy. With a strong vision in place, we are a function focused on driving digital technology strategies for key technology functions within MetLife including. In partnership with our business leaders, we develop and deliver seamless technology experiences to our employees across the entire employee lifecycle. Our vision and mission is to create innovative, transformative and contemporary technology solutions to empower our leaders and employees so they can focus on what matters most, our customers. We are technologists with strong business acumen focused on developing our talent to continually transform and innovate.
We are seeking a Data Engineer with strong experience to design, develop, and maintain scalable data pipelines. The ideal candidate will work closely with developers, product managers, and DevOps teams to ensure high-quality, reliable, and performant software delivery across web platforms.
Key Relationships:
Internal Stake Holder - EMEA ART Leader, ART Leadership team, India EMEA Technology AVP, and Business process Owners for EMEA Technology.
Key Responsibilities:
• As a Data Engineer, you'll help build and maintain reliable, scalable data pipelines and curated datasets that power analytics, reporting, and data products. You'll work with modern cloud and data engineering tools, learning best practices around data quality, security, and performance.
• Assist in building and maintaining batch and/or streaming ETL/ELT pipelines.
• Develop and support data ingestion from internal systems and external sources (APIs, files, databases including structure, semi-structured or unstructured data).
• Develop notebook to transform curated data into SCV specific unified data model
• Help model and curate datasets for analytics (dimensional models, curated "gold" tables, semantic layer inputs).
• Support data quality checks, monitoring, and alerting (validation rules, reconciliation).
• Collaborate with analysts, product owners, and engineers to understand data needs and deliver datasets.
• Contribute to documentation, data dictionaries, and runbooks.
• Participate in code reviews and follow engineering standards (naming, testing, CI/CD).
• Troubleshoot pipeline failures and support incident resolution with guidance from senior engineers.
• Follow data governance and security policies (PII handling, access control, retention).
Education:
- Bachelor of Computer Science or equivalent.
Technical Stack:
- SQL (DDL, DML, joins, aggregations, stored procedure, window functions basics)
- Programming (Python preferred; Java/Scala acceptable)
- Data concepts (schemas, structured/unstructured data, basic modelling)
- Understanding of software fundamentals: version control (Git), debugging, testing basics.
- Exposure to Azure cloud platform, especially:
- Data storage (Data Lake, blob/object storage)
- Compute (Spark/Databricks/Synapse)
- Event hub/Azure Stream Analytics
- Familiarity with orchestration tools (Synapse and ADF pipeline)
- Understanding of data modelling (star schema, slowly changing dimensions).
- Knowledge of DevOps basics: CI/CD pipelines, IaC (Terraform).
- Any internship/project experience building pipelines or dashboards.
Soft Skills:
- Excellent problem-solving, communication, and stakeholder management skills.
- Ability to balance technical innovation with business value delivery.
- Business acumen: A level-headed, clear communicator to gain detailed level of understanding of organizational business requirements and business dynamics.
- Self-Motivated and able to work independently.
- Attention to detail
- Collaborative
- Team Player
- Decisive
- Supportive
- Passionate
- Professional
- Accountable
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!
#BI-Hybrid
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