Data Engineer - QuantumBlack

Your Growth

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance / high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

Your Impact

You will be part of interdisciplinary teams of data scientists, engineers, designers, and business experts to help solve complex and impactful challenges using data. As a Data Engineer, you will be responsible for designing and building the data foundations that power our analytical solutions.

You will work closely with clients and internal teams to understand data requirements, extract information from diverse sources, build robust pipelines, and ensure data is accessible, reliable, and production-ready. Your work will enable our data science teams to build impactful models and insights, supporting high-stakes decisions in industries such as healthcare, energy, retail, and elite sports.

You will have the opportunity to apply cutting-edge technologies and collaborate in the development of scalable data products across the full lifecycle of our projects.

You will be based in our Santiago office as part of the QuantumBlack team.

You’ll gain hands-on experience in building data products across a wide range of industries, supported by experts from QuantumBlack and McKinsey.

You will learn how to approach real-world problems with practical solutions, collaborating with data scientists and other specialists to deliver robust, scalable, and innovative data pipelines. You’ll have access to our internal learning platforms, technical mentorship, and global community, and will have the chance to contribute to internal R&D initiatives and open-source tools like Kedro.

Your qualifications and skills

• Bachelor’s or master’s degree in computer science, engineering, or a related field
• 2+ years of experience in data engineering or backend software development
• Proficiency in Python, Scala, or Java
• Experience designing and building data pipelines using tools such as Pandas, PySpark, Kedro, Airflow, and others
• Solid knowledge of relational databases and experience working with diverse data sources (e.g. APIs, data warehouses, streaming data, unstructured data)
• Interest in applying modern data technologies to solve real-world business problems in cross-functional teams
• Strong communication skills to explain complex technical concepts to both technical and non-technical audiences
• Ability to communicate ideas most effectively - both verbally and in writing - in English and Portuguese / Spanish
• Please submit your CV in English

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