Data Engineer

Who You'll Work WithDriving 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 to enable holistic well-being for you and your family.Your ImpactAs a Data Engineer, you will design secure, scalable data pipelines and solutions to enable advanced analytics and machine learning, driving impactful outcomes for clients and internal teams. You will build robust, modular, and deployable pipelines, prepare and curate data for analytics models, and ensure data environments meet the highest security standards.Your work will involve data transformations, modeling, validation, and quality checks, as well as developing scripts in Python, PySpark, or SparkSQL and visualizing data using Power BI to support business decisions.This role offers the opportunity to innovate with cutting-edge technologies, collaborate with data scientists, machine learning engineers, and industry experts, and contribute to process optimization and automation. You will help design and deliver advanced data solutions that unlock the full potential of client data while driving efficiency gains.At McKinsey, you will experience unparalleled growth as a technologist and leader, with the freedom to experiment and master leading technologies. You will work within an entrepreneurial culture that values creativity, collaboration, and impact, helping clients achieve lasting improvements while advancing McKinsey’s mission to deliver transformative solutions through technology.You’ll join the Periscope® by McKinsey team in Lisbon, the technology backbone of McKinsey’s Growth, Marketing & Sales Practice. Periscope® combines world-class intellectual property, prescriptive analytics, and cloud-based tools to drive revenue growth and sustain commercial transformation. With a global presence in 27 locations across 16 countries, Periscope® offers solutions in marketing, customer experience, pricing, and sales, helping clients achieve lasting performance improvements and customer-centric transformations.To learn more, visit www.mckinsey.com/periscope.Your Qualifications and SkillsBachelor’s degree/master's degree with high rankings, with 3+ years of professional work experienceExcellent written and verbal communication skills in EnglishSelf-motivated with strong sense of problem-solving, ownership and action-oriented mindsetAble to cope with pressure and demonstrate a reasonable level of flexibility/adaptabilityTrack record of strong problem-solving, requirement gathering, and leading by exampleAble to work well within teams across continents/time zones with a collaborative mindsetFamiliarity with distributed computing frameworks, cloud platforms, containerization, and analytics librariesWhile 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 and more.