Experteer Overview
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In this role you will design and own scalable data platforms and analytics workstreams for clients across industries. You will lead data engineering efforts, mentor junior colleagues, and collaborate with cross‑functional teams to deliver advanced analytics solutions. Your work supports rapid AI adoption and meaningful business impact at scale, backed by a strong learning and mentorship culture. You will operate in a fast‑paced, ethical, high‑performance environment that values curiosity and collaboration.
Compensaciones / Beneficios
• Design and build robust, scalable data pipelines for machine learning and analytics
• Manage secure data environments and assess data quality for advanced analytics
• Lead delivery of analytics workstreams and own technical platforms
• Mentor junior colleagues and contribute to Ru0026D and internal assets
• Collaborate with clients and cross‑functional teams across data owners and executives
• Partner with QuantumBlack, AI by McKinsey and QuantumBlack Labs to accelerate AI adoption
• Work in cross‑functional Agile teams with Data Scientists, ML Engineers, and industry experts
• Address real‑world business challenges with innovative technical solutions
Responsabilidades
• Degree in Computer Science, Engineering, Mathematics, or equivalent experience
• Proficient in object‑oriented languages (Python, Scala, Java)
• Experience building data pipelines in production for advanced analytics
• Experience with structured, semi‑structured and unstructured data
• Familiarity with distributed computing frameworks (Spark, Dask) and cloud platforms (AWS, Azure, GCP)
• Containerization xqbhyrx experience (Docker, Kubernetes)
• Strong communication skills in English; proficient in Spanish or Portuguese
• Ability to travel
• Proven experience with PySpark, PyData stack, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS
• Experience with data quality assessment and reproducible workflows
Requisitos principales
• competitive salary
• comprehensive benefits package
• global learning and mentorship
• opportunity to work with cross‑functional teams
• exposure to AI/ML innovation
• international collaboration