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Data Engineer
at McKinsey & Company
GraduateNo visa sponsorshipData Engineering
Posted 6 days ago
No clicks
- Compensation
- Not specified
- City
- Budapest
- Country
- Hungary
Currency: Not specified
Join cross-functional agile teams to design and build robust, modular, scalable data pipelines for machine learning, enabling advanced analytics across client engagements. You will prepare and manage data environments, ensuring they meet information security standards, while enabling software capabilities for data engineers, data scientists, and external clients. You will contribute to the development of core data frameworks and technical platforms that power analytics initiatives and help clients unlock the value of their data. Based in Budapest, you will have the opportunity to collaborate with McKinsey's global data engineering community and work with cutting-edge technologies.
Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.
Your Impact
As a Data Engineer, you will work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams, developing new or enhancing existing assets.
This role offers the opportunity to leverage cutting-edge technologies, collaborate with diverse experts, and grow as both a technologist and leader within McKinsey's entrepreneurial culture. In this role, you will design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable, reproducible, and versioned. You will prepare and manage data environments, ensuring they meet the highest information security standards, while enabling software capabilities for data engineers, data scientists, consulting teams, and external clients. Your work will contribute to the development of core data frameworks and technical platforms that power advanced analytics engagements across data science and engineering.
Your work will have a real-world impact, driving meaningful outcomes for clients across industries. You will build and maintain technology assets that support high-stakes projects, collaborating with world-class design, technical, and business talent. This role offers the freedom to experiment with the latest technologies and push the boundaries of innovation.
You will be part of our global data engineering community, collaborating with data scientists, machine learning engineers, and industry experts to design and deliver cutting-edge data solutions. Together, you will enable advanced analytics and machine learning capabilities, helping clients and internal teams unlock the full potential of their data. You will also contribute to research and development projects and internal asset development, helping to shift McKinsey’s model toward asset-based consulting and expanding our investment in an entrepreneurial culture.
At McKinsey, you will experience unparalleled growth as a technologist and leader, with the freedom to innovate, experiment, and master the world's leading technologies beyond any single proprietary stack. You will be part of an entrepreneurial culture that values creativity, collaboration, and impact, helping clients achieve lasting improvements while advancing McKinsey’s mission to deliver transformative solutions through technology.
Your Growth
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Your qualifications and skills
- 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, inc. DevOps, DataOps and MLOps would be 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 the ability to adjust your 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, which may include PowerPoint decks, Excel models, articles, or other written deliverables
- Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
- Ability to work or attend meetings outside of 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
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity 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 - GCOA - Data Engineer I
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Aug 15 00:00:00 GMT 2023
LinkedIn Posting City - Budapest
LinkedIn Posting State/Province -
LinkedIn Posting Country - Hungary
LinkedIn Job Title - Data Engineer
LinkedIn Function - Consulting
LinkedIn Industry - Banking;Information Technology and Services
LinkedIn Seniority Level - Mid-Senior level
Job Skill Code - GCOA - Data Engineer I
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Tue Aug 15 00:00:00 GMT 2023
LinkedIn Posting City - Budapest
LinkedIn Posting State/Province -
LinkedIn Posting Country - Hungary
LinkedIn Job Title - Data Engineer
LinkedIn Function - Consulting
LinkedIn Industry - Banking;Information Technology and Services
LinkedIn Seniority Level - Mid-Senior level
