Data Engineer
McKinsey & Company
Software Engineering, Data Science
Budapest, Hungary
Posted on Apr 7, 2025
Data Engineer
Job ID: 96902
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
You will work in cross-functional agile teams alongside data scientists, machine learning engineers, other data engineers, product managers, and industry experts to innovate alongside clients and CSTs to develop new or existing assets.
By leveraging engineering frameworks and best practices, you will design and develop core data frameworks for our client service organizations and enable software capabilities used by data engineers, data scientists, consulting teams and external clients.
Your work will help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work.
You will design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned.
You will create and manage data environments and ensure information security standards are always maintained.
You will have the opportunity to contribute to R&D projects and internal asset development. Help to shift our model toward asset-based consulting and is a foundation for and expands our investment in our entrepreneurial culture.
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. 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, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.
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.
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.
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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