Data Engineer - QuantumBlack, AI by McKinsey

McKinsey; Lisboa; On-site; EUR 70,000 - 110,000; Full time

Job summary

McKinsey & Company is seeking a talented Data Engineer to design scalable data pipelines, manage secure data environments, and lead technical workstreams within cross-functional teams. You will mentor juniors, collaborate with data scientists and ML engineers, and contribute to AI solutions across industries, based in Lisbon or Madrid.

You will own technical platforms, apply Kedro, Spark, Python, and cloud services to deliver robust, reproducible analytics pipelines, and participate in R&D

Qualifications

• Degree in Computer Science, Engineering, Mathematics, or equivalent.
• Proficient in Python/Scala/Java and clean, scalable code.
• Experience building production data pipelines for analytics.
• Experience with distributed computing (Spark/Dask) and cloud platforms.
• Strong English and Spanish or Portuguese communication.

Responsibilities

• Design scalable data pipelines and data environments for analytics.
• Lead technical workstreams and mentor junior colleagues.
• Collaborate with Data Scientists and ML Engineers across industries.

Skills

Python

Scala

Java

PySpark

Spark

AWS

Azure

GCP

SQL

Airflow

Databricks

Kedro

Docker

Kubernetes

Pandas

NumPy

Dask

Data pipelines

English

Spanish/Portuguese

Education

Degree in Computer Science, Engineering, Mathematics

Tools

Kedro

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will design scalable data pipelines, manage secure data environments, and lead technical workstreams while mentoring junior colleagues and collaborating with clients and cross-functional teams. You’ll tackle impactful challenges, contribute to R&D, and grow as a technologist by working on innovative AI solutions across diverse industries. You will own technical platforms and lead the delivery of advanced analytics workstreams. You’ll design and build robust, scalable, and reproducible data pipelines for machine learning, manage secure data environments, and assess data quality to prepare it for advanced analytics models. You’ll also mentor junior colleagues and contribute to R&D projects and internal asset development. Your work will tackle real-world challenges across industries. By partnering with QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you’ll help create innovative machine learning systems that accelerate AI adoption and solve critical business problems at speed and scale, enabling clients to achieve meaningful, lasting impact. You’ll be based in Madrid or Lisbon as part of our global Data Engineering community. You’ll work in cross-functional Agile teams alongside Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. Collaborating with clients from data owners to C-level executives you’ll help design impactful solutions that address complex business challenges. Your work offers a unique opportunity to grow as a technologist and leader. You’ll develop expertise at the intersection of technology and business by addressing diverse challenges. Working with inspiring, multidisciplinary teams, you’ll gain a holistic understanding of AI while collaborating with some of the best design, technical, and business talent in the world.

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.
• Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting
• Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, GCP), containerization, and analytics libraries (e.g. pandas, NumPy, matplotlib)
• Proven experience building data pipelines in production for advanced analytics use cases
• Experience working across structured, semi-structured and unstructured data
• 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
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Willingness to travel
• Strong communication skills, both verbal and written, in English and Spanish or Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels

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.