Managed Services Engineer (Data)

WhoWeAre

Build. Scale. Sustain.

PALO IT isa global AI-First technology consultancywith 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 our 16 yearsexpertisein digital transformation our approach isa game-changerin 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 23 faster than traditional approaches while raising the bar for engineering excellence.

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

YOUR ROLE AND RESPONSIBILITIES:

Data Platform Management

• Support and maintain data platforms for multiple clients across Azure Microsoft Fabric and other cloud environments
• Manage and optimize on-premise data platform solutions
• Ensure high availability performance and security of client data infrastructure
• Monitor platform health and proactively address potential issues

Data Pipeline Development

• Design build and maintain robust data pipelines for ETL/ELT processes
• Implement real-time and batch data processing solutions
• Optimize data flows for performance and cost-effectiveness
• Troubleshoot and resolve pipeline issues to ensure reliable data delivery

Infrastructure as Code

• Collaborate With DevOps to create and maintain infrastructure using Terraform for scalable repeatable deployments
• Manage cloud resources and infrastructure provisioning across multiple client environments
• Implement infrastructure best practices for security monitoring and disaster recovery
• Collaborate with DevOps to establish CI/CD pipelines for data infrastructure

Client Support & Collaboration

• Work directly with clients to understand their data requirements and business objectives
• Provide technical expertise and recommendations for data architecture improvements
• Document solutions and maintain comprehensive technical documentation
• Participate in client meetings and technical reviews

WHO YOU ARE:

We are seeking an experienced Data Engineer to join our managed services team where youll play a critical role in supporting and maintaining data platforms for our diverse client portfolio. This position offers the opportunity to work with cutting-edge cloud technologies while solving complex data challenges across multiple industries.

Technical Skills

• Cloud Platforms: Strong experience with Microsoft Azure services (Data Factory Synapse Azure SQL Storage Accounts etc.)
• Microsoft Fabric: Hands-on experience with Microsoft Fabric components and capabilities
• Infrastructure as Code: Proficiency in Terraform for infrastructure provisioning and management is a plus
• Data Engineering: 5 years of experience building and maintaining data pipelines
• Programming: Strong skills in Python SQL and PowerShell/Bash scripting
• On-Premise Systems: Experience with traditional data platforms and hybrid cloud architectures

Platform Expertise

• Azure Data Services (Data Factory Synapse Analytics Databricks Event Hubs)
• Microsoft Fabric
• Database technologies (SQL Server PostgreSQL NoSQL databases)
• Data integration tools and methodologies
• Multi-cloud environments (AWS GCP experience is a plus)

Professional Skills

• Strong problem-solving and analytical thinking abilities
• Excellent communication skills for client-facing interactions
• Experience working in a managed services or consulting environment
• Ability to manage multiple client projects simultaneously
• Strong documentation and knowledge-sharing practices

BONUS SKILLS

• Bachelors degree in Computer Science Engineering or related field
• Azure certifications (Azure Fabric/Data Engineer Associate Azure Solutions Architect)
• Experience with containerization technologies (Docker Kubernetes)
• Knowledge of data governance and compliance frameworks
• Familiarity with monitoring and observability tools (Azure Monitor Grafana etc.)
• Experience with agile development methodologies

MORE ABOUT PALO IT:

Were eager to adapt to change learn from our experiences and move to meet our planets urgent needs. With 2025 as our horizon we are taking action to meet the following objectives:

• 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 16 of our offices across the globe
• Continuously measure & improve employee happiness

Our clients ( are amongst the worlds 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 worlds 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 ( 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