Lead Data Integration Engineer

We are seeking aLead Data Integration Engineer to design and deliver reliable ingestion and integration services on a modern data platform. You will guide technical decisions, collaborate across infrastructure and architecture stakeholders, and ensure high-quality delivery.

Responsibilities

• Design data ingestion services aligned with data architecture standards
• Implement requirements for BDX ingestion services using ETL/ELT approaches
• Lead technical decisions to ensure scalable, maintainable integration solutions
• Coordinate release changes with the infrastructure team to support deployments
• Build and optimize SQL-based transformations and validation checks
• Develop and support Databricks workloads used in integration pipelines
• Ensure services run effectively on Azure Kubernetes Service environments
• Apply SOLID and clean code principles across the codebase
• Communicate technical progress and risks with onshore BSA and architects
• Troubleshoot integration failures and drive root-cause resolution
• Document integration designs, interfaces, and operational runbooks

Requirements

• 5+ years of experience with data integration and ETL/ELT platforms
• Experience with SQL for data transformation and validation
• Experience with Databricks in production data workloads
• Experience with Azure Kubernetes Service for deploying data services
• Leadership experience guiding design decisions and mentoring engineers
• Project delivery experience translating requirements into implemented ingestion services
• Strong data architecture knowledge for scalable and maintainable solutions
• Solid understanding of SOLID principles and clean code practices
• Effective stakeholder communication skills with analysts and architects
• Strong collaboration skills for working with infrastructure and release teams
• Upper-Intermediate English proficiency (B2)

Nice to have

• .NET development experience
• ReactJS experience for building internal tools or lightweight UIs