Analytics Engineer

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🕒 June 3

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thaia®︎

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

thaia®︎ is a boutique recruitment and talent solutions firm that partners with startups and scaling tech companies to deliver fast, high-quality hires and end-to-end hiring support. They offer risk-free PayOnHire placements, integrated RPO services where senior recruiters embed with client teams, and data-driven add-ons like salary and market insights, recruitment analytics, onboarding setup, and fractional HR coaching. thaia®︎ emphasizes cultural and technical fit, founder-minded partnership, and measurable hiring outcomes for high-growth teams.

📋 Description

• Design and implement the end-to-end data transformation lifecycle using dbt Cloud and Databricks. • Build and evolve the diagnostic engine that detects Product Gaps, Operational Errors, and Technical Hotfixes. • Transform technical complexity into high-performance, self-describing Data Products. • Serve as the technical escalation point, define best practices for modeling, testing, and documentation. • Lead the transition toward a decentralized data model, developing self-serve standards and spearheading AI agent initiatives.

🎯 Requirements

• 7+ years of experience in Analytics Engineering or Data Engineering, with at least 2 years in technical leadership or staff-level roles. • Advanced proficiency in SQL and dbt (models, tests, macros, exposures, documentation). • Software engineering mindset: Git, CI/CD, unit testing, and documentation-as-code applied to data transformations. • Proven experience in high-performance modeling: Star Schema, SCD Type 2, handling complex transactional data. • Experience with Lakehouse architectures (Databricks / Delta Lake). • Ability to abstract complex business rules (reconciliation, deferred interest, billing cycles) into modular and scalable code. • Fluency in Spanish and English to collaborate across multi-regional teams and communicate technical strategies to non-technical stakeholders.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development