Junior Data Engineer - QuantumBlack Studio
McKinsey & Company · Belo Horizonte, Brazil +1 · 2d ago
Entry level / GraduateOn-siteData & Analytics
Who you'll work with
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.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
What you'll do
You will work in multi-disciplinary teams harnessing data to deliver real-world impact for organizations globally.
In this role, you will assist in designing and building data pipelines that support data science projects, following software engineering best practices.
You will use modern technologies to acquire, ingest, and transform large datasets.
Additionally, you will help map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models.
You will also support creating and managing data environments both in the Cloud and on-premises.
You will join our QuantumBlack Studio team in São Paulo, working alongside data scientists, data engineers, machine learning engineers, designers, and project managers on interdisciplinary projects. You will apply math, statistics, and machine learning techniques to derive insights and knowledge from raw data across various industries.
You will be fully integrated with QuantumBlack Studio's global network, collaborating with colleagues worldwide to help clients launch agile marketing, personalization programs, and digital transformation initiatives at scale.
We use a broad range of technologies including Python, PySpark, SQL, Airflow, Databricks, our open-source tool Kedro, container technologies like Docker and Kubernetes, and cloud platforms such as AWS, GCP, and Azure.
Our culture values curiosity, innovation, and continuous learning. You will have the opportunity to experiment, propose ideas, and grow technically and professionally. Mentorship and knowledge-sharing are strongly encouraged to support personal and team development.
Please submit your CV in English.
Your background
- Bachelor's degree in Computer Science, Engineering, or related field (graduated between December 2024 and December 2026)
- Basic foundations in software engineering, Agile methodologies, and Cloud computing
- Programming skills in at least two of the following: SQL, Python, Scala, Java
- Good knowledge of relational databases such as PostgreSQL and MySQL
- Basic understanding of big data platforms and tools for batch and streaming data processing, such as the Hadoop ecosystem, Spark, and Kafka
- Ability to collaborate effectively within diverse teams and communicate clearly with people at all organizational levels
- Ability to communicate ideas most effectively - both verbally and in writing - in English and Portuguese