Senior Data Engineer Lisboa

Senior Data Engineer
Lisboa
Lisboa, Lisboa, Portugal

Job ID:

We seek a Senior Data Engineer to build Mc
Kinsey's enterprise data platform, driving
- wide impact by delivering scalable,
- first data solutions for AI and business intelligence.

• Lisbon
• Prague

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
- first approach. Collaborating with
- 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
- quality code and contribute to team
- 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
- mortem analyses, and continuously enhance testing frameworks and tools to ensure the delivery of
- quality data solutions.

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

YOUR GROWTH

You are someone who thrives in a
- 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
- 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
  - 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. 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
  - based data engineering using AWS services
• Proficiency in Py
  Spark 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 CI/CD and Dev
  Ops 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
  - functional team environment