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 .