Data Engineer

Who We Are

Building the AI-first frontier enterprise.

We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)

• We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.

• We are robust and resilient (100% independent, 0 debt, founded 2009)

• We are AI-native professionals who invest in what we believe and work as a collective intelligence

• We are positive, courageous and deliver at the leading edge

Your Role

As a Data Engineer at PALO IT, you will be instrumental in designing and implementing data-driven solutions that support our clients in making informed, strategic decisions. You will leverage cutting-edge technologies to develop robust, scalable data pipelines and infrastructure, ensuring seamless data access and processing.

• Design, build, and maintain data pipelines using Google Cloud Platform (GCP), ensuring efficient flow and transformation of data.

• Develop API services using Python FastAPI to facilitate data access and integration with various applications.

• Manage and optimize databases using Firestore and Google Cloud SQL, ensuring data integrity, availability, and performance.

• Utilize Google Agent Development Kit (ADK) to integrate AI functionalities into data processes and enhance automation.

• Collaborate effectively with cross-functional teams, utilizing Claude Code for improved documentation and knowledge sharing.

• Use GitHub (PR-based workflows) and GitHub Projects for project management, version control, and collaborative development.

• Monitor data integrity and performance, troubleshoot issues, and implement robust solutions to enhance data workflows.
  
  Who You Are

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.

• 3+ years of experience in data engineering or a similar role, with a strong focus on building data pipelines.

• Proficient with Google Cloud Platform (GCP) services and data tools, including Firestore and Google Cloud SQL.

• Solid programming experience in Python, with demonstrated proficiency in FastAPI for building APIs.

• Familiarity with the Google Agent Development Kit (ADK) and Claude Code for enhancing data processes.

• Experience collaborating in a Git-based environment, specifically with PR-based workflows on GitHub.

• Excellent problem-solving skills, attention to detail, and a commitment to delivering quality solutions.

• Strong communication and collaboration skills, with the ability to work effectively in a team-oriented, agile environment.
  
  More About PALO IT
  
  Our clients include some of the world’s most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.

What We Offer

• Stimulating working environments

• Unique career path

• International mobility

• Internal R&D projects (including Gen-e2™)

• Knowledge sharing

• Personalized training via PALO IT Academy

• Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.