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.
You will also be part of an effort to build next-generation data platforms on the cloud to enable our business stakeholders to have rapid data access and incubate emerging technologies. Additionally, you will mentor junior engineers, and implement data governance practices to ensure security, compliance, and lifecycle management.
In this role, you will design and build data products. You will develop and maintain scalable, reusable data products that serve as foundational assets for analytics, reporting, and machine learning pipelines.
You will be architecting and optimizing data pipelines You will lead the design, develop, and enhance ETL/ELT workflows using AWS Lambda, AWS Glue, Snowflake, and Databricks You will ensure high-performance, scalable, and cost-efficient data processing solutions.
You will manage and scale data infrastructure. You will oversee cloud-based data environments, configure optimized storage solutions (S3, Snowflake, Delta Lake), and manage compute resources for efficient data processing.
You will perform tuning and optimization. You will implement advanced query tuning, indexing strategies, partitioning techniques, and caching to maximize efficiency in Snowflake and Databricks.
You will check cross-functional collaboration. You will partner with data scientists, engineers, and business teams to deliver well-structured, analytics-ready datasets that drive insights and machine learning initiatives.
You will govern data, compliance and security. You will establish and enforce best practices for access control, data lineage tracking, encryption, and compliance with industry standards (SOC 2, GDPR).
You will automate and observe: build resilient, automated data workflows leveraging tools such as Step Functions and Databricks Workflows. You will implement proactive monitoring, logging, and alerting to ensure system reliability and data quality.
You will drive innovation and best practices. You will be responsible to mentor junior engineers, stay ahead of emerging technologies, participate in hackathons, contribute to internal knowledge sharing at team and company levels, and champion continuous improvement in data engineering methodologies.
You will work in our McKinsey Client Capabilities Network in EMEA and will be part of our Wave Transformatics team.
Wave is a McKinsey SaaS product that equips clients to successfully manage improvement programs and transformations. Focused on business impact, Wave allows clients to track the impact of individual initiatives and understand how they affect longer term goals. It is a mix of an intuitive interface and McKinsey business expertise that gives clients a simple and insightful picture of what can otherwise be a complex process by allowing them to track the progress and performance of initiatives against business goals, budget and time frames.
Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists and project managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI.
As a member of the team, you will be responsible for designing, building, and optimizing scalable data solutions that power analytics, reporting, and machine learning. Working alongside a team of data engineers across global hubs, you will lead the development of robust data ingestion pipelines, procuring data from APIs and integrating it into cloud-based storage layers while ensuring data quality through rigorous cleaning and standardization.
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:
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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