Analytics

Senior Data Engineer

Job ID: 92654
  • Tokyo
Apply Now Apply Later


Are you driven by the opportunity to tackle complex challenges and work alongside top leaders? Do you want to be part of a team that delivers outcomes that others simply can’t? If so, you’ve come to the right place.

Who You'll Work With

You will be part of our global Data Engineering community and you will work in cross-functional Agile project teams alongside Data Scientists, Machine Learning Engineers, other Data Engineers, Project Managers, and industry experts. 
You will work hand-in-hand with our clients, from data owners, users, and fellow engineers to C-level executives.
While we advocate for using the right tech for the right task, we leverage technologies including: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more! We also launched QB Horizon to help clients scale AI.  

Your impact within our firm

Only at McKinsey you will work on real-world, high-impact projects across a variety of industries.  
You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI – and help solve business problems at speed and scale. 
You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.
Surrounded by inspiring individuals as part of diverse and multidisciplinary teams, you will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members. 
As a Senior Data Engineer, you’ll:  
  • Own the technical platform for advanced analytics engagements, spanning data science and data engineering work 
  • Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned 
  • Create and manage data environments and ensure information security standards are maintained at all times 
  • Own and be accountable for the delivery of technical work streams while also mentoring and guiding more junior colleagues 
  • Understand clients data landscape and assess data quality 
  • Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models 
  • Have the opportunity to contribute to R&D projects and internal asset development 
  • Contribute to cross-functional problem-solving sessions with your team and our clients to address their needs and build impactful analytics solutions 
  • Work with C-suite executives and client tech team in problem-solving on their key issues and provide recommendations through analytical approach 

Your qualifications and skills

  • Ability to write clean, maintainable, scalable and robust code in an object-oriented language, e.g., Python, Scala, Java, in a professional setting 
  • Proven experience building data pipelines in production for advanced analytics use cases 
  • Experience working across structured, semi-structured and unstructured data 
  • Familiarity with distributed computing frameworks (e.g. Spark, Dask), cloud platforms (e.g. AWS, Azure, GCP), containerization, and analytics libraries (e.g. pandas, NumPy, matplotlib) 
  • Degree in computer science, engineering, mathematics, or equivalent experience   
  • PhD degree or equivalent with 5+ years relevant professional experience 
  • Native in Japanese and fluent in English 

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Apply Now Apply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

Job Skill Group - N/A
Job Skill Code - DSEN - Senior Data Engineer I
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Oct 01 00:00:00 GMT 2024
LinkedIn Posting City - Tokyo
LinkedIn Posting State/Province -
LinkedIn Posting Country - Japan
LinkedIn Job Title - Senior Data Engineer
LinkedIn Function - Consulting;Information Technology;Strategy / Planning
LinkedIn Industry - Computer Software;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Mid-Senior level