Back to all Data Engineering jobs
Consultancies
Data Engineer - Forward Deployed Engineer
at McKinsey & Company
Mid LevelNo visa sponsorshipData Engineering
Posted 16 hours ago
No clicks
- Compensation
- Not specified
- City
- Berlin, Munich, Hamburg, Lisbon, London, Madrid, Nuremberg, Stuttgart
- Country
- Germany
Currency: Not specified
McKinsey's Data Engineer - Forward Deployed Engineer role focuses on delivering AI-enabled data solutions by embedding with client teams. You will build Python data workflows, knowledge graphs, and support generative AI initiatives, while creating and testing code, CI/CD pipelines (GitHub Actions), and managing AWS-based infrastructure and Docker containers. As a Forward Deployed Engineer, you will deploy, debug, and run systems across client, McKinsey, and third-party cloud environments (AWS/Azure/GCP) to drive measurable business value. You will collaborate with data engineers, software engineers, and data scientists to develop robust data ingestion pipelines and scalable AI-ready data platforms.
Digital
Data Engineer - Forward Deployed Engineer
Job ID: 106188
- Berlin
- Budapest
- Cologne
- Dusseldorf
- Frankfurt
- Hamburg
- Lisbon
- London
- Madrid
- Munich
- Nuremberg
- Stuttgart
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
Your Data Engineer expertise in Python development, including data workflows, knowledge graphs, and/or generative AI will be key to your work.
Your work will include but won't be limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure, and docker containers.
As an Forward Deployed Engineer (FDE) Data Engineer, you are critical for upcoming deployments, as you will combine software and data engineering skills, bring data science literary to collaborate effectively and focus on platform engineering: deploying, debugging, and running systems.
In this role, you will focus on delivering and scaling AI solutions by embedding yourself into cross-functional teams of clients or consultants to drive measurable business value. You will deploy assets on client service teams (CSTs) and later return to refine and enhance these assets, ensuring they are optimized for broader use. Working alongside a team of data engineers, software engineers, and data scientists, you will develop robust data ingestion pipelines and mature data processing capabilities that feed into data systems supporting generative AI applications. Your work will involve creating Python code, writing tests, modifying and managing GitHub Action CI/CD pipelines, and working with AWS-based infrastructure and Docker containers to ensure seamless integration and deployment.
Your responsibilities will include deploying solutions across McKinsey, client, and third-party cloud environments such as AWS, Azure, and GCP. You will troubleshoot, analyze, and resolve technical issues, ensuring that all fixes align with the overarching product strategy and are integrated into the master code base. Additionally, you will develop and support customizations and extensions tailored to client-specific needs, providing technical guidance on deployment, configuration, and issue resolution.
Beyond deployment, you will contribute to improving pipelines, tooling, and engineering standards, ensuring the platform remains cutting-edge and efficient. When not actively engaged in deployments, you will support ongoing product development, helping to shape the platform’s future capabilities and impact.
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
- 3+ years of professional experience as a data engineer, with a 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 and more
- Strong experience with relational databases
- Strong execution and output orientation, results-driven mindset and ability to figure things out independently. Able to work in a complex and very 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
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 - DSEN - Senior Data Engineer I
Function - Technology
Industry - High Tech
Post to LinkedIn - #LI-DNI
Posted to LinkedIn Date -
LinkedIn Posting City -
LinkedIn Posting State/Province -
LinkedIn Posting Country -
LinkedIn Job Title - Data Engineer - Forward Deployed Engineer
LinkedIn Function -
LinkedIn Industry -
LinkedIn Seniority Level -
Job Skill Code - DSEN - Senior Data Engineer I
Function - Technology
Industry - High Tech
Post to LinkedIn - #LI-DNI
Posted to LinkedIn Date -
LinkedIn Posting City -
LinkedIn Posting State/Province -
LinkedIn Posting Country -
LinkedIn Job Title - Data Engineer - Forward Deployed Engineer
LinkedIn Function -
LinkedIn Industry -
LinkedIn Seniority Level -
