Data Engineer – QuantumBlack

McKinsey & Company
McKinsey & Company

Job Overview

QUALIFICATIONSDegree educated in Computer Science, Engineering, Mathematics, or equivalent experiencePrevious commercial experience in a data-driven roleAbility to write clean, maintainable, and robust code in Python, Scala, Java or similar languagesKnowledge of software engineering concepts and best practicesFamiliarity with the latest OSS, cloud, container, query and database technologies as well as query languagesConfirmed experience building data pipelines in production and ability to work across structured, semi-structured and unstructured dataExperience preparing data for analytics and following a data science workflowCommercial client-facing or senior stakeholders management experienceWHO YOU’LL WORK WITHYou will be part of a global Data Engineering community and you will work in cross-functional and Agile project teams alongside Project Managers, Data Scientists, Machine Learning Engineers, other Data Engineers, and industry experts.You will work hands in hands with our clients, from data owners and users to C-level executives.Who you areYou are a highly collaborative individual and enjoy solving problems that focus on adding business value. You have a sense of ownership and enjoy hands-on technical work. Our values resonate with yours.WHAT YOU’LL DOAs a Data Engineer in Chicago, you will…Partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutionsDesign and build data pipelines to support data science projects following software engineering best practicesUse state of the art technologies to acquire, ingest and transform big datasetsMap data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics modelsCreate and manage data environments in the cloud or on premiseEnsure information security standards are maintained at all timeContribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clientsBe flexible to travel to our clients’ offices to deliver presentations, gather information or share knowledgeHave the opportunity to contribute to R&D and internal asset development projectsOur tech stackWhile we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, SQL, Airflow, Databricks, our own OSS called Kedro, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!What you’ll benefit fromReal-World Impact– No project is ever the same. We work with top-tier clients across multiple sectors, providing unique learning and development opportunities internationally.Fusing Tech & Leadership– We work with the latest technologies and methodologies and offer first class learning programmes at all levels.Multidisciplinary Teamwork- Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.Innovative Work Culture– Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.Striving for Diversity– With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.Visit our Careers site to watch our video and read about our interview processes and benefits.

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