Join Boston Consulting Group's X Delivery team as a Senior Delivery AI Data Engineer, a leading firm in business strategy and transformation. You'll be instrumental in leveraging advanced AI and data engineering methodologies to deliver cutting-edge solutions for our clients. This role offers a unique opportunity to blend deep technical expertise with impactful consulting engagements, driving bottom-line results and enabling organizations for total transformation.

We foster a collaborative environment where diverse, global teams bring together industry expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting, technology, design, and corporate ventures. We work collaboratively across the firm and with client organizations to generate results that allow clients to thrive.

As a Senior Delivery AI Data Engineer, you will collaborate closely with consulting teams on diverse advanced analytics topics. Your responsibilities will include gathering requirements, specifying, designing, developing, deploying, and supporting robust data and AI solutions. You will provide technical leverage and assistance to case leadership, ensuring high-quality, efficient solutions by deeply understanding relevant technologies and processes.

Key duties involve owning the end-to-end lifecycle of data engineering modules, pipelines, and data products across various environments. You will build reliable batch, streaming, and API-driven data solutions, creating trusted and reusable data assets with strong governance practices. Furthermore, you will implement GenAI and Agentic AI workflows, write and review production-level code in Python, Java, or Scala, and utilize AI tools responsibly to enhance engineering productivity.

We are seeking candidates with a Bachelor's or Master's degree in Computer Science, Engineering, Technology, Data Science, or a related technical field, coupled with 4–6 years of relevant experience in data engineering or enterprise AI/data solution delivery. A strong command of advanced SQL, proficiency in at least one major programming language (Python, Java, Scala), and a solid understanding of distributed computing and cloud data platforms are essential.

Demonstrated hands-on experience with GenAI & Agentic AI implementation patterns, and familiarity with technologies such as Spark, dbt, Databricks, Snowflake, or equivalent data ecosystems are required. Experience with cloud data services on AWS, Azure, or GCP, and practical application of data pipeline productization using DevOps practices are crucial. Excellent communication skills, structured problem-solving abilities, and the capacity to mentor junior engineers are also key attributes for success in this role.