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Tech Stack
Tools & technologiesBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- Senior Data Developer (Analytics Engineer) who serves as a bridge between business and technology
- Own the complete lifecycle of data products – from ingestion and modeling through final delivery
- Ensure that data is structured, validated, and ready for consumption in AI and analytics environments
- Actively engage with business stakeholders to understand context, challenges, and underlying needs
- Translate complex requirements into clear, detailed technical specifications that enable effective use of AI and analytics platforms
- Take full responsibility for the data products built – from ingestion through modeling, transformation, validation, to final delivery and ongoing monitoring
- Implement and maintain rigorous validation processes, automated testing, and quality checks to ensure data accuracy and integrity
- Design and implement data transformation layers that pre-aggregate business information
- Collaborate with AI teams to specify and prepare structured data, data dictionaries, and models that enable AI platforms and intelligent reporting capabilities
- Build and maintain data ingestion pipelines from multiple sources, implement transformations in SQL and Python
- Proactively identify improvement opportunities, anticipate internal customer needs, and propose innovative solutions
- Deliver reliable data solutions with speed and precision, balancing the need for rapid iteration with high quality standards
- Articulate technical concepts clearly to non-technical audiences, facilitate alignments, present solution proposals, and document modeling and architecture decisions
Requirements
What you’ll need- Proven experience in a Data Engineering or Analytics Engineering role at senior level
- Advanced proficiency in SQL and Python for data analysis, transformation, and validation
- Solid experience in data modeling and data warehouse design
- Hands-on experience working with BigQuery (or other cloud-based data warehouse platform)
- Demonstrated ability to understand complex business logic and validate results from a business perspective, not just technical
- Strong sense of ownership and proactive mindset – a professional who proposes improvements, challenges requirements when necessary, and doesn't wait to be asked to act
- Experience specifying and preparing data requirements for AI or machine learning applications
- Advanced/fluent English (reading, writing, and conversation) – constant communication with international stakeholders is required
- Track record of delivering high-impact projects quickly and with quality.
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance
- Childcare assistance
- Extended paternity leave
- Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing and Results Participation (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Discount club
- Free online platform dedicated to physical, mental, and overall well-being
- Pregnancy and responsible parenting course
- Partnerships with online learning platforms
- Language learning platform
- And many more!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringAnalytics EngineeringData TransformationData ValidationData IngestionData Warehouse DesignAutomated TestingQuality ChecksData Dictionary CreationBusiness Logic Validation
Soft Skills
Proactive MindsetStrong Sense of OwnershipEffective CommunicationStakeholder EngagementProblem-Solving