FBS Data Engineer (SQL & Power BI)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a FBS Data Engineer (SQL & Power BI) based in Brazil.
As a Data Engineer, you will support the development of data-driven solutions that strengthen financial reporting, analytics, and business decision-making within the property and casualty (P&C) insurance sector. You will work closely with business stakeholders, product owners, and technology teams to translate business needs into clear technical and functional requirements. Your responsibilities will include data analysis, requirements documentation, business rule validation, and supporting user acceptance testing to ensure reliable, high-quality data solutions. You will also contribute to data integration strategies, reporting improvements, and the ongoing optimization of dashboards and data platforms. Working in a global, multicultural environment, you will help bridge the gap between business objectives and technical delivery. This remote opportunity is ideal for an analytical professional who combines insurance industry knowledge with strong SQL, Power BI, and data quality expertise.
Accountabilities
Business Requirements Analysis: Gather, analyze, and document business requirements by collaborating with stakeholders, subject matter experts, product owners, and technology teams to understand reporting and analytics needs.
Functional Specifications and Documentation: Translate business data stories into clear, actionable functional specifications, business plans, and technical documentation that support successful data solution delivery.
Data Integration and Mapping: Support source-to-target mapping, data integration initiatives, and the use of data marts and data warehouses to improve reporting capabilities and downstream data consumption.
SQL and Power BI Analytics: Contribute to the development, enhancement, and maintenance of data-driven reporting solutions, dashboards, and analytics products that address evolving business requirements.
Data Quality and Business Rule Validation: Validate business rules, monitor data quality, troubleshoot discrepancies, and collaborate with technical teams to ensure data accuracy, consistency, and reliability.
User Acceptance Testing (UAT): Support UAT planning and execution, validate solution functionality against business requirements, track issues, and coordinate testing updates and approvals.
Cross-Functional Collaboration: Act as a liaison between business stakeholders, IT teams, and product management to ensure requirements are understood and implemented accurately.
Data Product Certification: Assist with data product certification and ensure solutions meet reporting standards, business expectations, data quality requirements, and downstream consumption needs.
Data Platform Optimization: Identify opportunities to improve data platforms, dashboards, reports, and integration processes in response to changing business needs and applicable guidelines.
Financial Data Governance and Compliance: Apply relevant data standards and practices to financial services transactions, reporting, and cloud-based data storage and sharing, balancing regulatory and compliance obligations with business objectives.
Project Coordination and Issue Resolution: Manage moderately complex data and analytics initiatives with limited supervision, maintain records of decisions and approvals, and proactively develop solutions to prevent or mitigate data-related issues.
Technical Support and Knowledge Sharing: Contribute to technical specifications, strategic planning, testing updates, training, and ongoing support to promote effective adoption of data solutions.
Requirements
Professional Experience: Demonstrated experience in data engineering, business data analysis, analytics, or a related field, preferably within the property and casualty insurance or broader financial services industry.
P&C Insurance Knowledge: Strong understanding of property and casualty insurance processes, financial loss reporting, insurance data structures, and the business requirements associated with insurance analytics.
SQL Expertise: Proficiency in SQL for data querying, analysis, validation, and troubleshooting, with the ability to investigate data discrepancies and support reliable reporting solutions.
Power BI Skills: Experience developing, maintaining, or enhancing Power BI dashboards and reports, translating business needs into meaningful visualizations and actionable insights.
Business Requirements Management: Proven ability to gather stakeholder requirements, facilitate discussions with subject matter experts, document business data stories, and produce clear functional specifications.
Data Integration and Modeling: Familiarity with source-to-target mapping, data warehouses, data marts, data structures, data integration strategies, and data consumption requirements.
Data Quality and Governance: Understanding of data validation, business rules, data standards, quality assurance, and the importance of regulatory and compliance requirements in financial reporting.
Testing and Validation: Experience supporting user acceptance testing, developing or validating test scenarios, tracking defects, and confirming that delivered solutions meet documented requirements.
Stakeholder Communication: Strong written and verbal communication skills, with the ability to explain technical concepts to business audiences and coordinate effectively across multidisciplinary teams.
Analytical and Problem-Solving Skills: Strong attention to detail, critical thinking, and the ability to identify root causes, resolve data issues, and recommend practical improvements.
Project Management and Organization: Ability to manage multiple priorities, coordinate moderately complex initiatives, document decisions, and deliver results with limited day-to-day supervision.
Adaptability and Continuous Improvement: A proactive approach to learning, improving data processes, adapting to evolving business requirements, and collaborating within a dynamic, multicultural environment.
Language Skills: Strong professional communication skills in English are beneficial for working with international stakeholders.
Benefits
Competitive Compensation: Attractive salary package aligned with the role and experience.
Performance-Based Bonuses: Additional earning potential linked to performance.
Comprehensive Benefits Package: Access to a range of employee benefits.
Private Health Insurance: Healthcare coverage as part of the benefits package.
Paid Time Off: Paid leave to support work-life balance and personal well-being.
Flexible Work Arrangements: Remote and/or office-based working options, depending on applicable arrangements.
Training and Development: Opportunities to strengthen professional skills through learning and development initiatives in partnership with recognized organizations.
Global and Multicultural Environment: The opportunity to collaborate with international teams in a diverse, inclusive, and dynamic workplace.
Career Growth Opportunities: Exposure to enterprise-level data solutions, financial reporting, analytics, and cross-functional technology projects.
Established Professional Environment: Work within a globally recognized organization with strong market presence and experienced leadership.
Local Employment Administration: Local payroll and benefits administration are managed through an Employer of Record arrangement.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes