Roles & Responsibilities
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, +500 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 genuinely believe and work as a collective intelligence
- We are positive, courageous, caring, doers and committed to excellence
Position Overview
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.
Key Responsibilities
Data Platform Management
Support and maintain data platforms for multiple clients across Azure, Microsoft Fabric, and other cloud environmentsManage and optimize on-premise data platform solutionsEnsure high availability, performance, and security of client data infrastructureMonitor platform health and proactively address potential issuesData Pipeline Development
Design, build, and maintain robust data pipelines for ETL / ELT processesImplement real-time and batch data processing solutionsOptimize data flows for performance and cost-effectivenessTroubleshoot and resolve pipeline issues to ensure reliable data deliveryInfrastructure as Code
Collaborate With DevOps to create and maintain infrastructure using Terraform for scalable, repeatable deploymentsManage cloud resources and infrastructure provisioning across multiple client environmentsImplement infrastructure best practices for security, monitoring, and disaster recoveryCollaborate with DevOps to establish CI / CD pipelines for data infrastructureClient Support & Collaboration
Work directly with clients to understand their data requirements and business objectivesProvide technical expertise and recommendations for data architecture improvementsDocument solutions and maintain comprehensive technical documentationParticipate in client meetings and technical reviewsRequired Qualifications
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 capabilitiesInfrastructure as Code : Proficiency in Terraform for infrastructure provisioning and management is a plusData Engineering : 5+ years of experience building and maintaining data pipelinesProgramming : Strong skills in Python, SQL, and PowerShell / Bash scriptingOn-Premise Systems : Experience with traditional data platforms and hybrid cloud architecturesPlatform Expertise
Azure Data Services (Data Factory, Synapse Analytics, Databricks, Event Hubs)Microsoft FabricDatabase technologies (SQL Server, PostgreSQL, NoSQL databases)Data integration tools and methodologiesMulti-cloud environments (AWS, GCP experience is a plus)Professional Skills
Strong problem-solving and analytical thinking abilitiesExcellent communication skills for client-facing interactionsExperience working in a managed services or consulting environmentAbility to manage multiple client projects simultaneouslyStrong documentation and knowledge-sharing practicesPreferred Qualifications
Bachelor's degree in Computer Science, Engineering, or related fieldAzure certifications (Azure Fabric / Data Engineer Associate, Azure Solutions Architect)Experience with containerization technologies (Docker, Kubernetes)Knowledge of data governance and compliance frameworksFamiliarity with monitoring and observability tools (Azure Monitor, Grafana, etc.)Experience with agile development methodologiesMore 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 companyDeliver projects with a positive impactTrain 100% of our workforce on impactAchieve B Corp certification among all our offices across the globeContinuously measure & improve employee happinessOur 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 environmentsUnique career pathInternational mobilityInternal R&D projectsKnowledge sharingPersonalised trainingEntrepreneurship & intrapreneurshipFor 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 (https : / / www.palo-it.com / en / privacy-policy) 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.
Tell employers what skills you have
Excellent Communication Skills
Troubleshooting
Change Management
High Availability
Scripting
Logging
Networking
Python
Operating Systems
Docker
Disaster Recovery
Databases
Linux
Technical Support