Data Engineer - Periscope

Description

Summary: Design secure, scalable data pipelines and solutions to enable advanced analytics and machine learning, driving impactful outcomes for clients and internal teams within an entrepreneurial culture. Highlights: 1. Innovate with cutting-edge technologies and collaborate with diverse experts 2. Experience unparalleled growth as a technologist and leader 3. Freedom to experiment with latest technologies and push innovation boundaries Job ID: 110943 Lisbon 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 secure, scalable data pipelines and solutions that enable advanced analytics and machine learning, driving impactful outcomes for clients and internal teams. Your work offers the opportunity to innovate with cutting\-edge technologies, collaborate with diverse experts, and grow as both a technologist and leader within McKinsey's entrepreneurial culture. You will build robust, scalable, and secure data pipelines that are modular, reproducible, and deployable. You will prepare and curate data for advanced analytics models, map data fields to hypotheses, and ensure data environments meet the highest security standards. Your work will contribute to the development of innovative assets that support both client service teams and external clients. Your work will have a real\-world impact, driving meaningful outcomes for clients across industries. You will build technology assets that power high\-stakes projects while collaborating with world\-class design, technical, and business talent. Your work offers the freedom to experiment with the latest technologies and push the boundaries of innovation. You will be part of our global data engineering community, collaborating with data scientists, machine learning engineers, project managers, and industry experts. Together, you will design and deliver cutting\-edge data solutions that enable advanced analytics and machine learning capabilities, helping clients and internal teams unlock the full potential of their data. You will help to shift our model toward asset\-based consulting and is a foundation for and expands our investment in our entrepreneurial culture. You will experience unparalleled growth as a technologist and leader with the freedom to innovate, experiment, and master the world's leading technologies beyond any single proprietary stack. You will be part of 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. Founded in 2007, Periscope® By McKinsey enables better commercial decisions by uncovering actionable insights. The Periscope platform combines world leading intellectual property, prescriptive analytics, and cloud\-based tools to provide more than 25 solutions focused on insights and marketing, with expert support and training. It is a unique combination that drives revenue growth both now and in the future. Customer experience, performance, pricing, category, and sales optimization are powered by the Periscope platform. Periscope has a presence in 26 locations across 16 countries with a team of 600\+ business and IT professionals and a network of 300\+ experts. To learn more about how Periscope’s solutions and experts are helping businesses continually drive better performance, visit their site. Periscope Market Vision, a key solution within the Periscope suite, is a leading platform for competitive intelligence, offering advanced data collection, enrichment, AI\-powered product matching, visual tools, and actionable insights reports. 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 Advanced degree in a quantitative field like computer science, machine learning, applied statistics or mathematics; or equivalent experience Relevant professional experience 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, including DevOps, DataOps and MLOps preferred Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries 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 Strong communication skills, both verbal and written, in English and local office language(s), 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.