Data Engineering Technical Coordinator

• Technically coordinate Mercos' Data Engineering function
• Define architecture, data modeling, and development standards
• Structure the Raw, Trusted, and Refined layers
• Ensure the quality, reliability, and efficiency of solutions
• Develop and maintain pipelines, data models, and engineering processes
• Safely modernize legacy structures while improving performance, observability, and costs
• Build, maintain, and evolve integrations between internal and go-to-market systems
• Integrate systems centralized in Salesforce with Tenex, Clicksign, RD Station, and the Mercos application
• Define priorities, assign responsibilities, and monitor deliveries and performance
• Provide feedback and develop team members, promoting technical autonomy and adoption of established standards

• Hands-on experience in Data Engineering, including building, evolving, and maintaining pipelines and production solutions
• Experience leading people, including providing feedback, monitoring performance, supporting professional development, and coordinating deliveries
• Strong experience with data architecture and modeling, including dimensional modeling, layer definition, and engineering standards
• Proficiency in SQL
• Strong experience with Python for data processing, integrations, business rules, and automated testing
• Experience with Google Cloud Platform (GCP), especially BigQuery, Cloud Storage, Cloud Run, and Cloud Functions
• Knowledge of pipeline orchestration, version control, CI/CD, observability, and data quality and reliability practices
• Ability to make technical decisions considering maintainability, performance, costs, and operational continuity
• Practical familiarity with Artificial Intelligence tools applied to software development, critically evaluating their results and potential applications
• Preferred: experience with generative AI applications or agents
• Preferred: experience with data governance, access control, traceability, and making reliable data available
• Preferred: experience modeling SaaS metrics, including MRR, ARR, churn, revenue expansion, and contraction
• Preferred: experience with Airflow, Cloud Composer, Workflows, Dataform, and Docker

• Remote work at a Remote First company
• CLT employment contract only
• Well-structured Individual Development Plan (IDP)
• Feedback culture and regular 1:1 meetings
• PLR — Profit-Sharing and Results Program
• Home office allowance
• Meal and food allowance on the Caju flexible benefits card
• Budget to set up your home office
• National health and dental insurance coverage
• Access to Moodar for online psychological support, extended to family members
• Access to an educational platform with full scholarships for undergraduate and graduate degrees, professional courses, language courses, and MBAs
• Wellhub membership for physical activities and physical, emotional, and nutritional well-being
• Extended parental leave: 6 months of maternity leave and 20 days of paternity leave
• Birthday month day off
• Referral bonus
• Livro Livre book benefit
• Partnerships with educational and language institutions
• Training sessions and workshops
• Annual trips to Joinville, Santa Catarina, for in-person gatherings
• The company laptop becomes yours after 48 months of use
• Monthly in-person and remote happy hours
• Optional annual flu vaccination
• Special gifts sent on commemorative dates
• Compensation review policies aligned with the market