Data Engineer - QuantumBlack

McKinsey & Company, Inc.; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading firm is seeking a Data Engineer who thrives in a high-performance culture. You will work with multidisciplinary teams to build innovative ML systems and advanced analytics solutions, applying your expertise in data engineering to influence business outcomes while enjoying a comprehensive benefits package and continuous learning opportunities.

Benefits

Medical Coverage

Dental Coverage

Mental Health Coverage

Vision Coverage

Qualifications

• 2+ years of professional experience in data engineering.
• Ability to write clean, scalable code in an object-oriented language like Python.
• Experience building data pipelines for advanced analytics.

Responsibilities

• Contribute to analytics solutions by collaborating with clients and data teams.
• Design and build robust data pipelines for machine learning.
• Map data fields and assess data quality.

Skills

Problem-solving

Collaboration

Data wrangling

Coding

Education

Degree in Computer Science, Engineering or Mathematics

Tools

Python

AWS

Azure

GCP

Spark

Job description

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. 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, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

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.

Who you are: You are a highly collaborative individual who wants to solve problems that drive business value. You have a strong sense of ownership and enjoy hands-on technical work. Our values resonate with yours.

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