Grupo QuintoAndar | Staff Data Engineer

About QuintoAndar:

QuintoAndar was born to do something very rewarding: open doors. We opened doors for technology to be part of living. And, through it, we simplify and reduce the bureaucracy of the experience of those looking for a new home. Thus, we became the most valuable proptech in Latin America, leading the real estate market in around six countries and more than 75 cities around the globe.

The first steps in the international market have been taken since we acquired Grupo Navent, which is ranked number 1 in Mexico (Inmuebles24), Argentina (Zonaprop), Peru (Adondevivir & Urbania) and Ecuador (Plusvalia) - among others. And most recently, we launched Benvi, our international brand in Mexico, which comes with our residential rental product and service.

We offer an end-to-end ecosystem to make life easier for those looking to rent or buy a home, sell a property and unlock a transaction. Think of zero paper or bureaucracy: everything happens on a single platform, with transparency and speed alongside incredible human support.

We are currently valued at over $5.1 billion (August 2021) and continue to grow 4x year over year, breaking records.

To make all this happen, we have more than 4,000 talented people, working with cutting-edge technology and best design practices to ensure a seamless experience throughout the sales and rental process, combined with smart financial products. Here you will work with the best professionals in the market, in an environment that breathes innovation, collaboration and high performance.

To learn more about our history, visit https://quintoandar.group/en/.

About Grupo QuintoAndar:

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diverse portfolio of brands and solutions that cover all stages of the journey of living. We develop technologies and innovations that transform and leverage the whole living experience.

About working at QuintoAndar:

• Possibility of learning;
• Opportunity to work in a team that seeks to use the best practices and tools in the market;
• Work in an informal environment with a horizontal structure;
• Being part of a team working on a high-impact project that affects the lives of thousands of people.

Location & Remote Work

Our technology team works on the "remote-first" model, which means we are working from home with the possibility of living anywhere in Brazil.

Language

This job description is written in English because for that position you will need it for communications with coworkers and suppliers who are from worldwide, for tools and internal materials as well. // A descrição desta vaga está escrita em Inglês porque para esta posição é necessário para a comunicação com colegas e fornecedores, que são de diferentes países, além do uso de ferramentas e materiais internos.

About our selection process:

Our selection process currently lasts an average of 30-40 days, from application to completion of the assessment. Going through:

• Application
• Technical CV screening
• People Interview with Recruiters
• Tech Screening with Data Team
• Technicals Interviews
• Offer

About the Role

As a Staff Data Engineer on our team, you will be a pivotal technical leader and a go-to expert for all data-related initiatives within a business unit. You will work closely with product, software engineering and Data&AI leaders (Data Science, Analytics and Engineering) within your assigned domain to drive data-driven and AI-driven decision-making at scale. While the primary focus is on business unit needs, opportunities may also arise to contribute to our central data platform team.

Responsibilities of a Staff Data Engineer at Grupo QuintoAndar:

• Design, build, and maintain highly scalable, reliable, and performant data pipelines and platforms that process vast amounts of data from diverse sources.
• Partner with data analysts, engineers, and diverse stakeholders to understand and refine business and engineering requirements, proactively identifying and mitigating potential risks.
• Design and implement robust data models and transformation layers to create high-quality, reliable, and easily consumable data products for analytics and machine learning, ensuring data integrity and consistency for downstream users.
• Critically analyze existing data tools and processes, identifying areas for improvement and implementing best practices to enhance data quality, maintainability, and team productivity.
• Actively contribute hands-on with coding, configuration, and testing, leading by example and ensuring high-quality implementations.
• Act as a technical reference for the data engineering team and broader Data&AI organization in your business unit.
• Mentor and guide junior and mid-level data engineers, fostering their technical growth and contributing to building an excellent, high-performing team.

Requirements

What we are looking for:

• Proven track record applying strong software engineering principles to design, build and operate large-scale data platforms / distributed data systems.
• Solid experience in delivering tangible business results through complex data and engineering projects.
• Expertise in modern data architecture concepts and technologies (e.g., Databricks, Snowflake, Apache Iceberg/Delta Lake).
• Strong proficiency in Python with a passion for writing clean, maintainable, and well-tested code.
• Experience with distributed processing frameworks such as Apache Spark.
• Advanced SQL skills and expertise in data modeling techniques for analytical workloads.
• Experience with Apache Airflow or other data workflow tools.
• Ability to lead and drive projects involving collaboration across multiple engineering, data and business teams.
• Excellent communication skills (verbal and written), with a proactive approach to sharing and seeking context to collaborate effectively across diverse teams.

You’ll stand out if you have:

• Fluency in cloud data services and infrastructure on at least one major cloud provider (AWS, GCP, or Azure).
• Experience with real-time data streaming technologies such as Apache Kafka or Kinesis and query engines like Trino/Presto.
• Contributed to or designed data platforms that support Machine Learning pipelines or advanced analytics use cases.
• Experience building data pipelines for GenAI applications (e.g. RAG, embeddings, vector databases).
• Knowledge of infrastructure areas such as containers and orchestration, CI/CD strategies, and infrastructure as code.

Important:

• Our selection process starts with the application! If you are truly interested in joining our team, make sure to put in extra effort at this stage. We review all candidates individually and provide feedback even to those who do not proceed in the process;
• All communication is done via email, so be attentive to our messages and whitelist the @quintoandar.com.br domain to prevent our emails from going to spam.

Benefits

• Competitive salary package;
• Bonus;
• Meal allowance ("Flash Benefícios");
• Public transportation allowance*;
• Health plan;
• Dental plan (optional);
• Life insurance;
• Daycare subsidy;
• Subsidy to sports practicing (Wellhub).
• Extended maternity and paternity leave;
• Reserved room for breast-feeding;
• Discount on our parking lot;
• Educational discounts.

Diversity & Inclusion at QuintoAndar

At QuintoAndar, we believe diversity of perspectives and experiences guarantee a differentiated work environment, based on respect and valuing differences. Feel free to declare the information on the registration form. If you are not comfortable answering them, just choose the option "I prefer not to respond". This information helps us create an increasingly inclusive environment and it is used only for this purpose, it is confidential, and it will not impact your performance throughout the hiring process

Data Protection Policy

The data entered in the selection process form is confidential and stored in a secure environment. We take appropriate technical and administrative measures to protect your data.

To exercise your rights over your personal data, such as access to data, treatment confirmation, data correction, anonymization, blocking or deletion, and other rights with QuintoAndar, contact us at quin.to/mensagem. To learn more about how we treat personal data at QuintoAndar access our Privacy Policy.

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