Grupo | Staff Data Engineer

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 diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit:

Location & Remote Work

Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

Hiring Process Stages

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application
• People Interview with Recruiter
• Tech Screening
• Technicals Interviews with Data Team
• 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.

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 hiring process starts with the application If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Variable compensation (Somente para vagas comerciais)
• Meal allowance
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother's Day, and Father's Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.