Data Enginner Middle

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, you will play a crucial role in designing and implementing data solutions that enable our clients to make informed, strategic decisions. You will work with cutting-edge technologies to create robust, scalable data pipelines and infrastructure. Design and implement scalable data pipelines leveraging Google Cloud Platform (GCP) to ensure efficient data flow and transformation. Develop API services using Python FastAPI for seamless data access and integration with various applications. Manage and optimize databases through Firestore and Google Cloud SQL, ensuring data integrity, availability, and performance. Utilize the Google Agent Development Kit (ADK) to enhance data processing and integrate AI functionalities into solutions. Collaborate with cross-functional teams using Claude Code for documentation and knowledge sharing, maintaining clarity in all processes. Implement GitHub (PR-based workflow) for collaborative development and effective project management using GitHub Projects. Monitor and troubleshoot data integrity and performance, providing robust solutions for data workflows. Who You Are Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. 2-4 years of experience in data engineering or backend development with a strong focus on building data pipelines. Proficient in using Google Cloud Platform (GCP) and its associated tools. Solid programming experience in Python , particularly with FastAPI for building APIs. Expertise in managing databases with Firestore and Google Cloud SQL . Familiarity with the Google Agent Development Kit (ADK) and Claude Code for documentation purposes. Experience collaborating within a Git-based environment through PR-based workflows on GitHub. Strong analytical mindset with attention to detail and a commitment to delivering quality solutions. Excellent communication and collaboration skills, able to work effectively in a cross-functional, agile team 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 .