Data Engineer

Lisbon, Portugal
Senior (4-6 Years)
Hybrid
English Required Not Accepting Candidates Living Abroad

The role sits within a central initiative driving AI adoption across the group, combining domain-focused AI teams, a central engineering pool, and a platform enabling business units to build and automate their own AI-driven processes. The focus is on building the data foundation that supports these AI and agentic workflow use cases.

What you will do

  • Design, build, and operate enterprise-grade ETL and ELT pipelines for AI, analytics, reporting, and agentic workflow use cases.
  • Create clean, documented, and reusable data products from operational, customer, logistics, and sales data sources.
  • Implement data quality checks, monitoring, lineage, metadata, and reliability patterns to make datasets trustworthy and production-ready.
  • Support integrations between cloud-based AI services, data platforms, APIs, and file-based sources.
  • Translate business and AI use case requirements into data models, pipelines, and serving layers.
  • Collaborate with local IT teams and data owners to onboard new data sources while respecting data protection, access control, and governance requirements.

Location and work model

  • Hybrid (2 days/week at Venda do Pinheiro)

  • Strong professional experience with Python, SQL, data modelling, and ETL/ELT development;

  • Proven experience designing, building, and maintaining reliable data pipelines in production environments;

  • Experience with cloud-native data engineering, preferably on Microsoft Azure; practical knowledge of AWS will be valued;

  • Hands-on experience with Snowflake or a comparable cloud data platform;

  • Good understanding of data orchestration, quality, observability, access management, and governance in enterprise environments;

  • Ability to design scalable, maintainable, and secure data solutions;

  • Experience collaborating with data scientists, AI engineers, business stakeholders, and local IT teams in international environments;

Nice to have

  • AWS exposure
  • Experience with Iceberg, AWS Glue, Spark, or Databricks
  • Experience with logistics or operational data (routes, depots, sales, customer feedback)
  • Exposure to AI feature stores, vector databases, retrieval pipelines, or data preparation for GenAI applications
  • Familiarity with GenAI software engineering tools such as GitHub Copilot, Cursor, or OpenCode
We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What we offer:

  • A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
  • A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
  • An empowering and respectful work culture enriched with social and learning events.
  • A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.
At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.
Luis Caldeira, DevOps @ KWAN
At KWAN, I’m given the space to be myself and do what I love. I have control over the projects I work on, as well as the direction of my career.
Pedro Fonseca, Front End Developer @ KWAN
I see my People Experience Partner as someone who is always available to provide me with motivation and constant feedback, which helps me be sure that I am in the right place.
Josimar dos Reis, Software Developer @ KWAN
I know that I’ve contributed to the growth of a company that truly values a “people first culture”, because my ideas, experiences, and individuality were always appreciated.
João Nascimento, Software Developer (KWAN Alumni)
My two years at KWAN were an incredible experience! From the start, I was welcomed into a warm and collaborative environment where I felt truly supported.
Laís Ortiz, Software Developer @ (KWAN Alumni)
Grab this opportunity, apply now!

What You Can Expect as a KWANer

Respect isn’t optional here

You’re trusted to deliver and supported to speak up.

Dedicated People Experience Partner

Someone accountable for your growth, not your allocation.

Continuous learning, built in

Learning that keeps pace with the systems you build.

Recognition that’s visible

Your impact doesn’t go unnoticed. Through our Rocket Points System, we constantly recognize your contributions.

A culture you can feel

From movie and quiz nights to dinners and our annual summer gathering, we don’t just work together - we build real connections.

Flexible spaces to work your way

Remote-first, with physical hubs when you want connection.

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