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Data Engineer - QuantumBlack

at McKinsey & Company

JuniorNo visa sponsorshipData Engineering

Posted 6 days ago

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Compensation: Not specified
City: Bangkok, Singapore
Country: Thailand, Singapore

You will work on real-world, high-impact ML and analytics projects across industries, building complex data pipelines and GenAI applications. You will collaborate with QB/Labs teams, data scientists, engineers, and clients to translate business needs into scalable data solutions. You will design, wrangle, and curate data, assess data quality, and deploy robust, modular ML-ready data pipelines using Python, PySpark, SQL, Airflow, and cloud platforms. You will be part of a global Data Engineering community and Agile cross-functional teams delivering AI-driven value for clients.

Consulting

Data Engineer - QuantumBlack

Job ID: 94882

Bangkok
Jakarta
Singapore City

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Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

You will work on real-world, high-impact projects across a variety of industries. You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale.

You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.

You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.

As a Data Engineer, you will:

Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions
Have the opportunity to contribute to R&D projects and internal asset development
Design and build GenAI applications (RAG, Agentic AI, etc) collaboratively with data scientists
Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models
Apply knowledge about clients data landscape and assess data quality
Create and manage data environments and ensure information security standards are maintained at all times
Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
Help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work
You will be part of our global Data Engineering community and you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts.

You will work hand-in-hand with our clients, from data owners, users, and fellow engineers to C-level executives.

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.

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.

Your qualifications and skills

Degree in computer science, engineering, mathematics, or equivalent experience
2+ years of relevant professional experience
Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
Proven experience building data pipelines in production for advanced analytics use cases
Experience working across structured, semi-structured and unstructured data
Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps would be considered a plus
Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries (e.g. pandas, numpy, matplotlib)
Experienced on Big Data platforms and tools like AWS, Azure, GCP and tools like Spark, Kafka, Snowflake, GCS Data Proc, Azure DataFactory, AWS Glue, Apache Beam/Flink, Python/PySpark, etc.
Commercial client-facing or senior stakeholder management experience would be beneficial

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Job Skill Group - N/A
Job Skill Code - DSAD - Data Engineer II
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Feb 17 00:00:00 GMT 2025
LinkedIn Posting City - Singapore
LinkedIn Posting State/Province -
LinkedIn Posting Country - Singapore
LinkedIn Job Title - Data Engineer - QuantumBlack
LinkedIn Function - Analyst;Consulting
LinkedIn Industry - Management Consulting
LinkedIn Seniority Level - Associate

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