Data Engineer II - QuantumBlack, AI by McKinsey (Critical Industries)

McKinsey & Company
Berlin, Germany
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 150K

Job location

San Francisco, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Google BigQuery
Continuous Integration
Data Cleansing
Information Engineering
Data Systems
Cursor (Graphical User Interface Elements)
Python
PostgreSQL
Machine Learning
Software Tools
Search Technologies
Software Deployment
SQL Databases
Systems Integration
Data Processing
Google Cloud Platform
Data Storage Technologies
Snowflake
Spark
Generative AI
Pandas
Information Technology
Production Code
Data Management
Machine Learning Operations
Virtual Agents
Terraform
Data Pipelines
Databricks

Requirements

  • U.S. Citizenship is a requirement for this role (you must be able to be staffed on Critical Industries work which includes Government, Defense, Aerospace, Utilities, etc.)
  • Degree in Computer Science/Engineering, or equivalent experience
  • 2+ years of relevant professional experience building and deploying data solutions
  • Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments
  • Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings generation, vector search, and system integration using modern frameworks (Spark, dbt, LangChain)
  • A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.)
  • Hands-on experience with MLOps/LLMOps principles, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform)
  • Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch) and deploying across major cloud platforms (AWS, Azure, GCP)
  • Exceptional time management in a complex and largely autonomous work environment
  • Commercial client-facing or senior stakeholder management experience is beneficial
  • Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
  • Strong communication skills, both verbal and written, in English and local office language(s)

Benefits & conditions

Certain US and Canadian jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. To help you understand what you can expect, the salary range for new joiners in this role in Canada and/or the United States, including all office locations where the job may be performed, is $146,600 - $150,000 in USD and $132,300 - $140,000 in CAD gross per year. This reflects our best estimate of the lowest to highest salary for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

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