Managed Services Engineer (Data)

Who We Are
Build. Scale. Sustain.
We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. 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: 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:
We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by 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-e2TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.
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 you'll 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
Bachelor's 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
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
Deliver 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
Entrepreneurship & intrapreneurship
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.