As a Senior Data Engineer I, 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.
In this role, 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 McKinsey’s QuantumBlack and 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 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.
This role 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.