Senior Analytics Engineer

Summary

Join RecargaPay and make a difference in the lives of millions of Brazilians by creating accessible and innovative financial solutions. As a Senior Analytics Engineer, you will be a strategic technical partner in designing and implementing data-driven solutions, extracting insights, identifying root causes, and uncovering opportunities. You will support regulatory and compliance initiatives, ensuring data reliability and accessibility. This role requires a product-minded professional with solid data engineering foundations and advanced analytical skills in SQL, Python, Databricks, and Redshift. You will build analytical data models, apply statistical techniques, and collaborate with cross-functional teams. The ideal candidate will have experience with Qlik Sense and building dashboards for executive and operational stakeholders. RecargaPay offers a dynamic environment and values collaboration, ownership, and results.

Requirements

• Advanced SQL proficiency with hands-on experience in Redshift and Databricks environments
• Strong working knowledge of Delta Lake features (ACID transactions, time travel, compaction, etc.)
• Solid programming experience in Python, particularly for data analysis and transformation
• Background in data-driven domains such as financial services, risk analytics, compliance, or regulated product environments

Responsibilities

• Develop analytical data models to support insight generation, anomaly detection, and business monitoring
• Apply Star Schema, normalized (3NF), denormalized, and domain-oriented modeling techniques to optimize performance and traceability
• Work closely with stakeholders to translate business questions into metrics, KPIs, and actionable data products
• Apply statistical and analytical techniques to identify patterns, outliers, root causes, and opportunities across operational and financial data
• Build exploratory datasets and rapid prototypes to validate hypotheses and surface new insights
• Collaborate with teams across Finance, Risk, and Compliance to execute impactful analyses aligned with regulatory goals and business outcomes
• Design and maintain scalable batch and streaming pipelines using Databricks (PySpark) and Airflow for real-time and scheduled data delivery
• Implement modular, reusable transformations, ensuring version control (Git) e observability
• Simplify technical complexity to enable self-service access and empower analysts with high-quality curated data layers
• Support and optimize analytical environments such as Redshift, Delta Lake, and Databricks, balancing performance and accessibility
• Contribute to data architecture evolution for discoverability, lineage, and cost efficiency
• Maintain bronze/silver/gold layers, integrating appropriate data quality validations
• Ensure compliance with internal governance frameworks and external regulatory standards
• Develop and maintain audit-ready data assets in partnership with Risk and Compliance teams

Preferred Qualifications

• Proven experience building dashboards and analytics products with Qlik Sense (preferred), including set analysis, advanced expressions, and visual layer modeling
• Ability to standardize KPI frameworks, apply visual best practices, and communicate findings through clear, compelling data stories
• Experience delivering dashboards for executive and operational stakeholders, ensuring both usability and impact
• Familiarity with AWS services (plus)
• Fluency in English or Spanish for cross-functional collaboration and communication; (plus)
• Experience working in highly regulated industries such as banking, insurance, or fintech is highly valued (plus)

Benefits

• Competitive and market-aligned salary
• Remote work — wherever you are, you’re part of the team!
• Home office allowance through a monthly deposit in the RecargaPay app
• Health and dental plans with no co-pay
• Life insurance
• Flexible meal allowance (via Flash)
• TotalPass membership to take care of your health
• Spanish or Portuguese classes