Data Engineering Lead - Insurance

• Data Engineering Lead - New headcount
• Healthcare projects

About Our Client

Leading insurance firm

Job Description

As a Data Engineering Lead, your main responsibilities will include:

• Collaborate closely with Health business leaders, product owners, regional teams, and IT stakeholders to gather business requirements, define project scope, and drive successful delivery within agreed timelines.
• Partner with regional teams to align data initiatives, priorities, and implementation strategies across multiple markets.
• Perform effort estimation and project planning, translating complex business requirements into technical epics, user stories, and delivery roadmaps.
• Design, develop, and maintain scalable data platforms, including batch and real-time data pipelines, data lakehouses, and enterprise data warehouse solutions.
• Provide technical leadership for enterprise data environments, establishing architecture standards, engineering best practices, and platform optimization strategies across Azure Cloud and Databricks.
• Build and enhance data ingestion, orchestration, transformation, and data quality frameworks to ensure reliable and efficient data processing.
• Drive data governance, technical standards, and best practices to maintain data integrity, security, and compliance.
• Lead code reviews, technical troubleshooting, performance tuning, and cost-optimization initiatives to ensure robust and resilient data solutions.

The Successful Applicant

A successful Data Engineering Lead should have:

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Minimum 8 years of IT experience, including at least 5 years in data engineering leadership, technical lead, or solution delivery roles.
• Strong hands-on experience with Azure technologies, including Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Synapse Analytics, and Azure SQL.
• Deep expertise in Azure Databricks, Apache Spark (PySpark/Spark SQL), and modern ETL/ELT framework design and implementation.
• Solid experience with relational database technologies such as Oracle, SQL Server, or PostgreSQL.
• Proven ability to lead large-scale data platform initiatives and communicate complex technical concepts effectively to both technical and non-technical stakeholders.
• Familiarity with Alibaba Cloud (AliCloud) big data technologies, including DataWorks, MaxCompute, OSS, and Hologres, is highly desirable.
• Experience with data visualization and reporting tools such as Power BI, FineBI, Tableau, or similar enterprise BI platforms.
• Strong analytical, stakeholder management, and problem-solving skills, with the ability to work effectively in a fast-paced and collaborative environment.