Software Platform Engineer II

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