Job ID: 103235 Lisbon Madrid
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:
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
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.