Állás részletei
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Cég neve
McKinsey & Company, Inc.Hungary Magyarországi Fióktelepe
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Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- PYTHON CLOUD TESTING AWS AZURE CLEAN CODE DOCKER DATABASES AGILE DEBUGGING TROUBLESHOOTING
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Elvárások
- Nem kell nyelvtudás
- 3-5 év tapasztalat
- Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Creation of Python code, tests, creation and modification of GitHub Action CICD pipelines
Working with AWS-based infrastructure and Docker containers
Deploying, debugging, and running systems
Delivering and scaling AI solutions embedded in cross-functional teams
Deploying assets on client service teams and refining them
Developing robust data ingestion pipelines and maturing data processing capabilities
Deploying solutions across McKinsey, client, and third-party cloud environments such as AWS, Azure, and GCP
Troubleshooting, analyzing, and resolving technical issues
Developing and supporting customizations and extensions tailored to client-specific needs
Contributing to improving pipelines, tooling, and engineering standards
Supporting ongoing product development
Working with AWS-based infrastructure and Docker containers
Deploying, debugging, and running systems
Delivering and scaling AI solutions embedded in cross-functional teams
Deploying assets on client service teams and refining them
Developing robust data ingestion pipelines and maturing data processing capabilities
Deploying solutions across McKinsey, client, and third-party cloud environments such as AWS, Azure, and GCP
Troubleshooting, analyzing, and resolving technical issues
Developing and supporting customizations and extensions tailored to client-specific needs
Contributing to improving pipelines, tooling, and engineering standards
Supporting ongoing product development
Requirements
3+ years of professional experience as a data engineer with strong focus on cloud-based data engineering using AWS services
Previous enterprise platform experience preferred
Significant previous experience with Neo4j
Strong conceptual understanding of knowledge graphs
Experience with building and adapting complex data workflows
Expertise with Python development
Practicing high coding standards with clean code, modularity, error handling, testing automation
Strong experience with relational databases
Strong execution and output orientation, results-driven mindset, ability to work independently in a complex and fast paced environment
Hands-on experience with Docker
Solid and demonstrable background in data pipeline performance and diagnostics
Interest in Generative AI and other ML topics
Kedro framework experience as a plus
Familiarity with agile principles and product development
Previous enterprise platform experience preferred
Significant previous experience with Neo4j
Strong conceptual understanding of knowledge graphs
Experience with building and adapting complex data workflows
Expertise with Python development
Practicing high coding standards with clean code, modularity, error handling, testing automation
Strong experience with relational databases
Strong execution and output orientation, results-driven mindset, ability to work independently in a complex and fast paced environment
Hands-on experience with Docker
Solid and demonstrable background in data pipeline performance and diagnostics
Interest in Generative AI and other ML topics
Kedro framework experience as a plus
Familiarity with agile principles and product development
What we offer
Continuous learning with structured programs and apprenticeship culture
A voice that matters from day one with opportunities to make tangible impact
Global community with colleagues across 65+ countries and over 100 nationalities
World-class benefits including competitive salary and comprehensive benefits package
A voice that matters from day one with opportunities to make tangible impact
Global community with colleagues across 65+ countries and over 100 nationalities
World-class benefits including competitive salary and comprehensive benefits package
Company info
McKinsey & Company is a global management consulting firm that serves leading businesses, governments, non-governmental organizations, and not-for-profits. Founded in 1926, McKinsey operates in more than 65 countries and employs over 30,000 professionals. The firm is committed to helping organizations improve their performance and achieve sustainable growth through data-driven insights, innovative solutions, and leadership development.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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