Lead our BI and Data Engineering team at AgileEngine, driving innovative data solutions and analytics strategies to empower business decisions. Join a dynamic remote environment in Brazil, shaping the future of data-driven insights.

As a BI/Data Engineer (Lead) at AgileEngine, you will spearhead the design, development, and optimization of business intelligence and data engineering initiatives. Your role involves architecting scalable data pipelines, implementing advanced analytics solutions, and leading a team of engineers to deliver actionable insights that drive company growth.

Key responsibilities include overseeing ETL workflows, ensuring data integrity across platforms, and integrating BI tools to create intuitive dashboards for stakeholders. You will collaborate with product, engineering, and business teams to translate complex data needs into robust solutions, leveraging cloud technologies and modern data stacks.

This leadership position requires a strategic mindset to innovate in data architecture while fostering a culture of excellence within the team. Ideal candidates thrive in remote settings, bringing passion for data and a commitment to agile methodologies.

Join AgileEngine's mission to empower global clients with cutting-edge data strategies in a supportive, innovative workspace.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• 7+ years of experience in data engineering, with at least 3 years in a lead or senior role
• Proficiency in BI tools such as Tableau, Power BI, or Looker for dashboard development and visualization
• Strong expertise in ETL processes using tools like Apache Airflow, Talend, or Informatica
• Advanced skills in SQL, Python, and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Experience with cloud platforms (AWS, Azure, or GCP) for data pipelines and storage
• Leadership experience in mentoring teams and collaborating with cross-functional stakeholders
• Excellent problem-solving skills and ability to handle large-scale data projects
• Familiarity with data governance, quality assurance, and security best practices

• Competitive monthly salary range reflecting expertise and market standards
• Fully remote work setup with flexible hours to support work-life balance
• Comprehensive health insurance coverage including dental and vision
• Professional development opportunities with access to certifications and conferences
• Generous paid time off, including vacation and parental leave
• Home office stipend for equipment and ergonomic setup
• Collaborative team environment with regular virtual team-building activities
• Performance-based bonuses and career advancement paths