Managed Services Engineer (Data) at PALO IT

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

0.0

Posted On

06 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Platforms, Microsoft Fabric, Infrastructure As Code, Data Engineering, Programming, On-Premise Systems, Azure Data Services, Database Technologies, Data Integration Tools, Multi-Cloud Environments, Problem-Solving, Analytical Thinking, Communication Skills, Documentation, Client Support, Collaboration

Industry

IT Services and IT Consulting

Description

WHO WE ARE: Build. Scale. Sustain. PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. 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, 18 offices, +650 experts from +50 nationalities) 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 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. 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 (https://www.palo-it.com/en/case-study) 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 (https://www.palo-it.com/en/career) 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

Responsibilities

The Managed Services Engineer will support and maintain data platforms for clients across various cloud environments, ensuring high availability and performance. Responsibilities also include designing and maintaining data pipelines and collaborating with DevOps for infrastructure management.