Data Engineer

The Data Engineer will establish and enforce data quality standards, code management practices, and quality assurance processes across the Business Intelligence and Analytics team. This role is critical to ensuring data accuracy, consistency, and reliability across all BI&A deliverables while maintaining robust version control and development standards. The ideal candidate will combine technical excellence with strong collaboration skills and a commitment to delivering high-quality, reliable data solutions

Job Responsibilites

Data Quality Management: Design and implement comprehensive data quality frameworks including validation rules, reconciliation processes, and accuracy monitoring. Establish data quality KPIs and SLAs for critical business metrics, particularly for Retail Reporting, Business Process Data Feeds, Portfolio (Book of Business), and Revenue and Expense requirements. Lead root cause analysis for data discrepancies and implement preventative controls.

Code Management and Version Control: Oversee version control systems and establish branching strategies, code review processes, and deployment pipelines for ETL code, SQL queries, and reporting artifacts. Maintain code repositories and documentation standards across Coalesce, Wherescape, and other BI platforms.

Quality Assurance Processes: Develop and enforce testing protocols for data transformations, reports, and analytics deliverables. Create validation procedures for data migrations and system integrations. Establish change management processes that balance quality with delivery speed.

Documentation and Standards: Define and maintain coding standards, naming conventions, and documentation requirements. Create and maintain data dictionaries, technical specifications, and process documentation. Ensure knowledge transfer and documentation for all critical processes.

Cross-functional Collaboration: Partner with Data Teams, IT, Telecom, Operations, and other departments to understand data accuracy requirements and establish appropriate quality controls. Work with data engineering and analytics teams to embed quality practices into development workflows.

Experience

5+ years of experience in data quality, data governance, or similar role within business intelligence environments

Scholarship

Master's Degree

Specialize knowledge

Experience in insurance industry or financial services with understanding of commission structures, policy data, and regulatory requirements

Computer knowledge

Strong SQL expertise with experience in complex query optimization and validation

Hands-on experience with version control systems (Git) and code management best practices

Experience with ETL platforms and modern data warehouse architectures (Snowflake, Coalesce, or similar

Familiarity with BI tools such as Tableau, Sigma, or similar platforms

Experience with data migration projects and platform transitions

Knowledge of automated testing frameworks and CI/CD practices

Background in Agile/Scrum methodologies

Benefits

Christmas bonus (above law)

Savings Fund & Voluntary Savings

Profit Sharing (PTU)

Vacation Days (above law)

Vacation Premium

Personal Days

Major Medical Insurance

Management Bonus