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](https://www.palo-it.com/en/career).