Data Engineer I

About the Role

Join QuantumBlack, AI by McKinsey, to contribute to building enduring client impact and enhancing long-term capabilities through sophisticated AI and data engineering solutions. This role is designed for individuals who excel in high-performance environments, demonstrate resilience, and embrace challenging projects.

We offer a culture rich in continuous learning, mentorship, and accelerated leadership development. You will receive consistent coaching and apprenticeship, cultivating your growth through actionable feedback and diverse opportunities globally.

Your Impact

As a Data Engineer I, you will create the core data infrastructure supporting advanced AI applications, including large language models (LLMs), retrieval systems, workflows, and emerging autonomous AI architectures. Your responsibilities will include designing scalable data pipelines, managing secure data environments, and preparing diverse data sets to power AI-driven solutions.

Collaborating with cross-functional teams including Data Scientists, Machine Learning Engineers, and industry specialists, you will address complex real-world challenges, participate in R&D projects aimed at innovating AI capabilities, and help adopt AI technologies enterprise-wide.

Work Environment

Based in London, you will be part of a global data engineering community working in Agile teams on cutting-edge AI and data projects. Your client engagements will span from data owners to C-level executives, where you will help implement scalable, enterprise-ready AI systems that provide significant business value.

Candidate Profile and Skills

• A degree in Computer Science, Engineering, or relevant experience.
• Prior data-centric experience through internships or academic projects.
• Proficient in writing clean, well-documented code mainly using Python and SQL.
• Interest or exposure to data engineering related to Agentic AI, Generative AI, Machine Learning or Business Intelligence across structured/unstructured, streaming/batch data.
• Familiarity with data platforms like Databricks, Snowflake, BigQuery, PostgreSQL and cloud services including AWS, Azure, or GCP.
• Experience with engineering tools such as Pandas, Spark, dbt, LangChain.
• Knowledge of software development best practices including Git for version control, DevOps, MLOps/LLMOps, and CI/CD.
• Strong time management skills to thrive independently in a complex environment.
• Adaptability and eagerness to rapidly learn diverse projects and technologies.
• Experience with coding agents like Cursor, Claude Code, Codex is advantageous.
• Excellent English communication skills, both verbal and written.

Work Culture and Benefits

• A learning-centric apprenticeship culture with structured feedback to foster ongoing development.
• An environment where your ideas and contributions are valued from day one, supporting ethical and impactful work.
• Access to a diverse global community spanning 65+ countries and over 100 nationalities enriching collaboration and innovation.
• Competitive salary based on your profile and location, complemented by an extensive benefits package aimed at supporting holistic well-being.