Stage : Delivery AI Data Engineering

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We Are BCG X We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up. What You'll Do As a part of BCG's X Delivery team, you will work closely with consulting teams on a diverse range of advanced topics. You will have the opportunity to leverage data engineering techniques to deliver value to BCG's Consulting & BCG X teams, BCG X Product teams and Practice Areas. You will collaborate with teams to gather requirements, specify, design, develop, deliver and support industrialized solutions serving client needs. YOU'RE GOOD AT • Python, PySpark, SQL • Containerization (Docker, Kubernetes, etc.) • NoSQL databases (MongoDB, Neo4j, Redis, etc) • Spark or other distributed big data systems • Data pipeline orchestration tools (Airflow, Prefect, Dagster, etc.) • Unix-based command line & development tools • Cloud computing platforms (AWS, Azure, Google Cloud, etc.) • Version control (e.g. Git) Functional Skills • Data Modeling for Analytics and decisioning • Selecting and integrating Big Data tools • Implementing ETL process(s) across on-premises and cloud architectures • Monitoring performance and advising any necessary infrastructure changes Nice To Have • Stream-processing frameworks (e.g. Kafka) • Flask, FastAPI, Django or NodeJS (BACKEND) • CI/CD tools (CircleCI, Octopus deploy, Jenkins, etc.) • Infrastructure as code (Terraform, Chef, Puppet, Ansible, etc.) • Monitoring tools (Datadog, New Relic, App Dynamics, etc.) • Security tools (sonarqube, Veracode) • Unit testing frameworks (Pytest, Mocha, Jest, etc.) • Automated UI testing tools (Selenium, Cypress, Playwright, etc.) • Postman or other API testing tool Communicating with confidence and ease: You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication. What You'll Bring • Bachelor's / master's degree in computer science, engineering/technology or equivalent • Excellent oral and written communication skills in English