Állás részletei
-
Cég neve
McKinsey & Company, Inc.Hungary Magyarországi Fióktelepe
-
Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
-
Elvárt technológiák
- ANALYTICS SECURITY CLOUD MACHINE LEARNING DEVOPS POWERPOINT AGILE EXCEL
-
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Középiskola
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams
Develop new or enhance existing assets
Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable, reproducible, and versioned
Prepare and manage data environments ensuring they meet the highest information security standards
Enable software capabilities for data engineers, data scientists, consulting teams, and external clients
Contribute to the development of core data frameworks and technical platforms that power advanced analytics engagements
Build and maintain technology assets that support high-stakes projects
Collaborate with world-class design, technical, and business talent
Experiment with the latest technologies and push the boundaries of innovation
Contribute to research and development projects and internal asset development
Help shift McKinsey’s model toward asset-based consulting and expand investment in an entrepreneurial culture
Develop new or enhance existing assets
Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable, reproducible, and versioned
Prepare and manage data environments ensuring they meet the highest information security standards
Enable software capabilities for data engineers, data scientists, consulting teams, and external clients
Contribute to the development of core data frameworks and technical platforms that power advanced analytics engagements
Build and maintain technology assets that support high-stakes projects
Collaborate with world-class design, technical, and business talent
Experiment with the latest technologies and push the boundaries of innovation
Contribute to research and development projects and internal asset development
Help shift McKinsey’s model toward asset-based consulting and expand investment in an entrepreneurial culture
Requirements
Degree in relevant field, or equivalent experience
0+2 years of relevant work experience
Proven experience building data pipelines in production for advanced analytics use cases
Experience working across structured, semi-structured and unstructured data
Exposure to software engineering concepts and best practices, including DevOps, DataOps and MLOps (considered a plus)
Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries
Excellent organization capabilities, including the ability to initiate tasks independently and see them through to completion
Strong communication skills, both verbal and written, in English and local office language(s), with ability to adjust style to suit different perspectives and seniority levels
Proficient in rational decision making based on data, facts, and logical reasoning
Ability to create work product-focused materials/outputs such as PowerPoint decks, Excel models, articles, or other written deliverables
Exceptional time management to meet responsibilities in a complex and largely autonomous work environment
Ability to work or attend meetings outside traditional business hours or take on projects with limited or no notice at times
Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)
0+2 years of relevant work experience
Proven experience building data pipelines in production for advanced analytics use cases
Experience working across structured, semi-structured and unstructured data
Exposure to software engineering concepts and best practices, including DevOps, DataOps and MLOps (considered a plus)
Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries
Excellent organization capabilities, including the ability to initiate tasks independently and see them through to completion
Strong communication skills, both verbal and written, in English and local office language(s), with ability to adjust style to suit different perspectives and seniority levels
Proficient in rational decision making based on data, facts, and logical reasoning
Ability to create work product-focused materials/outputs such as PowerPoint decks, Excel models, articles, or other written deliverables
Exceptional time management to meet responsibilities in a complex and largely autonomous work environment
Ability to work or attend meetings outside traditional business hours or take on projects with limited or no notice at times
Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)
What we offer
Opportunity to leverage cutting-edge technologies
Collaborate with diverse experts
Grow as both a technologist and leader within McKinsey's entrepreneurial culture
Freedom to experiment with the latest technologies and push the boundaries of innovation
Be part of a global data engineering community
Contribute to research and development projects and internal asset development
Unparalleled growth as a technologist and leader
Entrepreneurial culture that values creativity, collaboration, and impact
Continuous learning with structured programs and apprenticeship culture
A voice that matters from day one with valued ideas and contributions
Global community with colleagues across 65+ countries and over 100 different nationalities
World-class benefits including competitive salary and comprehensive benefits package
Collaborate with diverse experts
Grow as both a technologist and leader within McKinsey's entrepreneurial culture
Freedom to experiment with the latest technologies and push the boundaries of innovation
Be part of a global data engineering community
Contribute to research and development projects and internal asset development
Unparalleled growth as a technologist and leader
Entrepreneurial culture that values creativity, collaboration, and impact
Continuous learning with structured programs and apprenticeship culture
A voice that matters from day one with valued ideas and contributions
Global community with colleagues across 65+ countries and over 100 different 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 with over 30,000 employees worldwide. The firm is committed to helping organizations achieve lasting improvements in their performance and realize their most important goals through innovative solutions and deep industry expertise.
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.
Állás, munka területe(i)
Álláshirdetés jelentése
Állás, munka területe(i)
Álláshirdetés jelentése
