Consultancies

Senior Data Engineer - Tech Ecosystem

at McKinsey & Company

Tech LeadNo visa sponsorshipData Engineering

Posted 5 days ago

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Compensation: Not specified
City: Prague
Country: Czech Republic

As a Senior Data Engineer in the Tech Ecosystem function, you will design, build, and maintain data pipelines and infrastructure with a cloud-first approach (AWS, Snowflake, Confluent) to empower AI and business intelligence. You will collaborate with product managers, data engineers, designers, data scientists, and stakeholders to deliver scalable data capabilities and pipelines. Responsibilities include improving tooling and development processes, creating internal tools, mentoring junior engineers, and contributing to code reviews and technical discussions. You will respond to production incidents, implement monitoring, stay current with industry trends, and help drive the delivery of a target-state data platform across a global team.

Technology & Digital

Senior Data Engineer - Tech Ecosystem

Job ID: 100230

As a Senior Data Engineer, you'll build McKinsey's data platform, driving impact with scalable, cloud-first solutions for AI and business intelligence.

Prague

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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 part of the Tech Ecosystem function, you will work on transforming our data platforms and analytical applications using a cloud-first approach. Collaborating with cross-functional teams—including product managers, data engineers, designers, data scientists, and firm stakeholders—you will deliver scalable data engineering capabilities and pipelines that empower AI, business intelligence, and other core functions to operate effectively using data.

In this role, you will design, develop, and maintain data pipelines and infrastructure, leveraging the latest technologies such as AWS, Snowflake, and Confluent. Your responsibilities will include improving tooling and development processes to enhance efficiency, creating internal tools to streamline workflows, and advocating for best practices in data engineering. You will also mentor junior engineers to ensure high-quality code and contribute to team problem-solving, code reviews, and technical discussions.

In the event of production incidents, you will work with the operations team to diagnose and resolve issues quickly, while implementing monitoring solutions to prevent future disruptions. Staying current with industry trends, you will integrate new tools and methodologies, participate in post-mortem analyses, and continuously enhance testing frameworks and tools to ensure the delivery of high-quality data solutions.

As a member of the central data platform team, you will collaborate with a global, multi-disciplinary group to shape and accelerate the delivery of a target-state data platform. Your work will enable the firm to leverage cutting-edge data assets and capabilities, driving innovation and supporting critical business functions across the organization.

Your Growth

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

7+ years of professional experience as a data engineer, with a strong focus on cloud-based data engineering using AWS services
Proficiency in PySpark and SQL data pipeline performance and diagnostics
Expert user of Snowflake as a data warehouse. Able to debug technical issues in Snowflake and help others navigate the same.
Expertise with data engineering on AWS using services such as Glue, Lambda, MWAA, EMR, Opensearch etc.
Practicing high coding standards with clean code, modularity, error handling, testing automation and more
Solid and demonstrable background in pipeline performance and diagnostics in Spark and SQL, building solutions that efficiently process large data volumes in cost efficient manner
Strong experience with relational databases, experience working with vector stores
Hands-on experience with Docker
Good understanding of CI/CD and DevOps especially in the context of a data engineering practice
Good to have functional working knowledge of Kafka, Confluent services.
Familiarity with agile principles and product development
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

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.

Industries

High Tech

Capabilities

Technology

Apply Now Apply Later

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 - FDTP - Senior Data Engineer I
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jan 27 00:00:00 GMT 2025
LinkedIn Posting City - Prague
LinkedIn Posting State/Province -
LinkedIn Posting Country - Czech Republic
LinkedIn Job Title - Senior Data Engineer - Tech Ecosystem
LinkedIn Function - Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Executive

Your Impact

Your Growth

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

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. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.

Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

7+ years of professional experience as a data engineer, with a strong focus on cloud-based data engineering using AWS services
Proficiency in PySpark and SQL data pipeline performance and diagnostics
Expert user of Snowflake as a data warehouse. Able to debug technical issues in Snowflake and help others navigate the same.
Expertise with data engineering on AWS using services such as Glue, Lambda, MWAA, EMR, Opensearch etc.
Practicing high coding standards with clean code, modularity, error handling, testing automation and more
Solid and demonstrable background in pipeline performance and diagnostics in Spark and SQL, building solutions that efficiently process large data volumes in cost efficient manner
Strong experience with relational databases, experience working with vector stores
Hands-on experience with Docker
Good understanding of CI/CD and DevOps especially in the context of a data engineering practice
Good to have functional working knowledge of Kafka, Confluent services.
Familiarity with agile principles and product development
Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment