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.