Data Engineer

Who We Are 

Build. Scale. Sustain.  

PALO IT is a global AI-First technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization.

• We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC 
• We are robust and resilient: 100% independent and 0 debt 
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence  
• We are positive, courageous, caring, doers and committed to excellence 

About Gen-e2TM 
While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents: 

•  
• 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-e2TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence. 

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

YOUR ROLE: 
We are seeking a Data Engineer to build and operate enterprise-scale data pipelines primarily on Microsoft Azure, with exposure to AWS and GCP as a plus. This role supports critical business domains including Financial Services, Healthcare, Maritime, and Retail. 

• Build ingestion and transformation pipelines in Azure Fabric / Synapse / Databricks.
• Implement metadata-driven frameworks, quality checks, and monitoring dashboards.
• Enable self-service analytics and reporting pipelines.
• Collaborate with cross-functional teams to ensure secure, governed, and performant pipelines. 

MUST HAVE EXPERIENCE 

• 3–6 years of hands-on data engineering experience.
• Azure expertise: Azure Data Lake (ADLS Gen2/OneLake), Azure Data Factory/Fabric pipelines, Synapse Analytics, Databricks (Spark), Logic Apps.
• Strong Python and SQL skills.
• Experience implementing data quality rules and monitoring.
• Familiarity with RBAC, Purview (governance & lineage). 

GOOD TO HAVE 

• AWS services: S3, Glue, Lambda.
• GCP services: BigQuery, Dataflow.
• Experience with real-time streaming (Event Hub, Kafka, Pub/Sub). 

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa. 

MORE ABOUT PALO IT: 

We're eager to adapt to change, learn from our experiences and move to meet our planet's urgent needs. We are continuously taking action to: 

• Become a climate net-zero company  
• Attain 50% of revenue from projects with a positive impact   
• Train 100% of our workforce on impact   
• Achieve B Corp certification among all our offices across the globe   
• Continuously measure & improve employee happiness  

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges. 

What We Offer 

• Stimulating working environments 
• Unique career path 
• International mobility  
• Internal R&D projects 
• Knowledge sharing 
• Personalized training 

For more on our team culture and benefits, check out our careers page. 

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law. 

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT. 

Your personal data will be processed for the purposes of managing Palo-IT's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes. 

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.