Data Engineer Sr chez PALO IT

Who We Are

Build. Scale. Sustain.

PALO IT is a global innovation consultancy and Agile software development company committed to using technology as a force for good. We partner with organizations to rapidly launch digital products and services, design new business models, and prepare leadership and culture for the future.

We are a community of innovators, designers, and technologists across 5 continents and 18 offices (France, Hong Kong, Singapore, Thailand, Australia, Mexico, and Colombia).

We are proud to be a World Economic Forum New Champion and a certified B Corp in several regions, actively working towards full certification across all offices.

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.
• The quality consistently exceeds the output of our best traditional engineering teams.
• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

We are looking for a Senior Data Engineer to join us for a 6-month contract (PJ), working alongside top-tier talents to build scalable and high-quality data pipelines and platforms.

Key Responsibilities:

• Design, develop, and optimize robust ETL pipelines using Python, DBT, and modern data stack.
• Manage and maintain SQL Server and MongoDB data stores, ensuring data availability, reliability, and scalability.
• Work closely with Data Analysts and Scientists to prepare, model, and expose data for insights and experimentation.
• Implement and enforce data quality checks, version control, and documentation best practices.
• Continuously evaluate new tools and practices that align with data engineering excellence and business value.
• Contribute to AI-first delivery using PALO’s Gen-e2 methodology.

Who You Are

• 5+ years of experience as a Data Engineer or in a similar role.
• Expert proficiency in Python for data transformation, scripting, and automation.
• Strong experience with SQL Server (stored procedures, indexing, performance tuning).
• Hands-on experience with MongoDB (schema design, aggregation framework, performance profiling).
• Solid command of DBT (Data Build Tool) for transformation in modern data stack.
• Familiarity with Git, CI/CD, and cloud-based environments (AWS, GCP, or Azure).
• Strong problem-solving skills, with an ability to independently design and optimize scalable solutions.
• Comfortable working in agile environments and delivering under time constraints.

More About PALO IT

Guided by our B Corp certification and WEF New Champion status, we’re actively working toward these 2025 commitments:

• Become a net-zero climate company.

• Generate 50% of our revenue from positive impact projects.

• Train 100% of our workforce on impact practices.

• Achieve B Corp certification across all 18 offices.

• Reach 90% employee happiness globally.

Our clients range from startups and SMEs to Fortune 1000 leaders, all of whom aim to create meaningful impact and solve complex global challenges.

What We Offer

• Stimulating and collaborative work environments

• A unique and personalized career path

• International mobility opportunities

• Internal R&D projects

• Knowledge-sharing culture

• Tailored training and mentorship programs

• A spirit of entrepreneurship and intrapreneurship

Discover more about our culture and benefits on our careers page.
Or listen to real voices from our team on the PALOCast.

PALO IT is an equal opportunity employer. We value talent, diversity, and privacy. For more information, please refer to our Privacy Policy.