Analytics Engineer

🕒 February 6

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Loft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

🏠 Real Estate

💸 Finance

🏪 Marketplace

Real Estate • Finance • Marketplace

Loft is a company specializing in solutions for real estate, providing innovative commercial, technological, and financial solutions across Brazil. It operates as a platform for buying and selling apartments and houses in major Brazilian cities like São Paulo, Rio de Janeiro, and Porto Alegre. Loft offers real estate evaluation, sales management, rental administration, and financial solutions such as rental guarantees and property financing. Their services are tailored for both individual buyers and sellers as well as partner real estate agencies, enhancing the real estate transaction experience with digital and efficient processes. Loft is committed to making the real estate buying, selling, and financing processes seamless and accessible to all users through their digital platform and mobile app.

📋 Description

• Design, build, and evolve scalable analytical data models, ensuring quality, performance, and alignment with the strategic needs of partner teams • Define and prioritize the data roadmap, connecting business objectives, strategic vision, and technical feasibility • Standardize processes and create documentation for historical data and new data products • Apply a product-minded approach to data to optimize and create data products that drive business impact • Serve as a technical and consultative reference for stakeholders, translating business problems into robust analytical solutions • Promote analytical autonomy across business teams, strengthening the company’s data-driven culture • Mentor and develop analysts and analytics engineers, supporting technical growth, best practices, and a sense of ownership • Contribute to the evolution of data architecture and infrastructure in partnership with the Platform team • Define and enforce quality standards, including testing, versioning, documentation, and monitoring of pipelines and analytical models

🎯 Requirements

• Advanced proficiency in SQL and analytical data modeling, with a focus on metrics, granularity, performance, and scalability • Strong experience with Python for data engineering, including pipeline development, data processing, and automation • Experience with orchestration and scheduling tools such as Airflow or equivalents (Prefect, Dagster, etc.) • Experience in cloud environments, preferably GCP, or equivalent platforms (AWS, Azure), with an understanding of data services and architectural best practices • Proficiency in dbt, applying best practices in modeling, testing, documentation, and project organization • Strong knowledge of CI/CD applied to data, including test automation and deployments • Familiarity with version control using Git • Excellent communication and stakeholder management skills, with the ability to influence technical and business decisions • Experience mentoring and developing people, acting as a technical reference within the team • Hands-on profile with a strategic mindset, balancing execution, quality, and business impact

🏖️ Benefits

• Caju - More flexibility to use your benefits (Meals, Grocery, Mobility, Health, Home Office, Culture, and Education) • Medical Insurance - SulAmérica • Dental Insurance - SulAmérica • Life Insurance • WellHub - Access to gyms across Brazil • Wellz - Mental health platform • Flexible Vacation - Take your vacation at any time • Day Off • Parental Leave - for parents • Guapeco - Discounted pet health plan