Data Engineer Lisboa

Your Growth

Driving lasting impact and building
- 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
  - 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 to enable holistic
  - being for you and your family.

Your Impact

As a Data Engineer, you will design secure, scalable data pipelines and solutions to enable advanced analytics and machine learning, driving impactful outcomes for clients and internal teams. You will build robust, modular, and deployable pipelines, prepare and curate data for analytics models, and ensure data environments meet the highest security standards.

Your work will involve data transformations, modeling, validation, and quality checks, as well as developing scripts in Python, Py
Spark, or Spark
SQL and visualizing data using Power BI to support business decisions.

This role offers the opportunity to innovate with
- edge technologies, collaborate with data scientists, machine learning engineers, and industry experts, and contribute to process optimization and automation. You will help design and deliver advanced data solutions that unlock the full potential of client data while driving efficiency gains.

At Mc
Kinsey, you will experience unparalleled growth as a technologist and leader, with the freedom to experiment and master leading technologies. You will work within an entrepreneurial culture that values creativity, collaboration, and impact, helping clients achieve lasting improvements while advancing Mc
Kinsey’s mission to deliver transformative solutions through technology.

You’ll join the Periscope by Mc
Kinsey team in Lisbon, the technology backbone of Mc
Kinsey’s Growth, Marketing & Sales Practice. Periscope combines
- class intellectual property, prescriptive analytics, and
- based tools to drive revenue growth and sustain commercial transformation. With a global presence in 27 locations across 16 countries, Periscope offers solutions in marketing, customer experience, pricing, and sales, helping clients achieve lasting performance improvements and
- centric transformations.

To learn more, visit www.mckinsey.com/periscope.

Your qualifications and skills

• Bachelor’s degree/master's degree with high rankings, with 3+ years of professional work experience
• Excellent written and verbal communication skills in English
• Self-motivated with strong sense of
  - solving, ownership and
  - oriented mindset
• Able to cope with pressure and demonstrate a reasonable level of flexibility/adaptability
• Track record of strong
  - solving, requirement gathering, and leading by example
• Able to work well within teams across continents/time zones with a collaborative mindset
• Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries
• While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, Py
  Spark, the Py
  Data stack, SQL, Airflow, Databricks and more.