Senior Data Developer (Analytics)

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Engage with business stakeholders to understand their context, challenges, and underlying needs, translating requirements into clear technical specifications for analytics and AI solutions.
• Own data products end to end, covering ingestion, modeling, transformation, validation, delivery, monitoring, and continuous improvement.
• Implement rigorous data validation, automated testing, and quality controls to ensure accuracy, consistency, and integrity.
• Design and develop transformation layers that apply consistent business rules, pre-aggregate information, and produce datasets ready for dashboards and AI applications.
• Collaborate with AI teams to define and prepare structured datasets, data dictionaries, and models that support intelligent platforms and reporting.
• Build and maintain ingestion pipelines from multiple sources using SQL and Python while ensuring performance, scalability, and reliability.
• Proactively identify opportunities for improvement, anticipate stakeholder needs, and propose or challenge solutions when appropriate.
• Deliver reliable data solutions with speed and precision while maintaining high standards of quality.
• Communicate technical concepts clearly to technical and non-technical audiences, facilitate alignment, present solution proposals, and document modeling and architecture decisions.

Requirements:

• Proven senior-level experience in Data Engineering or Analytics Engineering.
• Advanced proficiency in SQL and Python for data analysis, transformation, and validation.
• Strong experience with data modeling and data warehouse design.
• Hands-on experience with BigQuery or another cloud-based data warehouse platform.
• Ability to understand complex business logic and validate data from a business perspective as well as a technical one.
• Strong ownership and proactive mindset, with the ability to identify improvements, challenge requirements when necessary, and act independently.
• Experience specifying and preparing data requirements for AI or machine learning applications.
• Advanced or fluent English, both written and spoken, with the ability to communicate regularly with international stakeholders.
• Proven ability to deliver high-impact projects quickly while maintaining quality.
• Experience with dbt for analytical data transformation and pipeline orchestration is a plus.
• Familiarity with data ingestion and orchestration tools such as Airbyte or Airflow is desirable.
• Knowledge of automated testing practices and CI/CD for data pipelines is an advantage.

Benefits:

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended paternity leave.
• Gym, fitness, and health and wellness partnerships through Wellhub and TotalPass.
• Profit Sharing and Results Participation (PLR).
• Life insurance.
• Continuous learning through a dedicated learning platform.
• Discount club and employee partnerships.
• Free online resources focused on physical, mental, and overall well-being.
• Pregnancy and responsible parenting course.
• Partnerships with online learning platforms.
• Language learning platform.
• Inclusive workplace with dedicated health and well-being support and inclusion specialists.
• Support and accommodations for professionals with disabilities throughout the selection process.