Salary
$85k – $94k per year (gross)
Location
Hybrid (Singapore)
Seniority
Staff · 8+ years exp
Employment
Contractor
First seen by Alion on Sep 7, 2026.
Overview
Company
Impact
Profile match
Find your next job or hire talent that makes a difference, from experienced professionals to executive search, scaled recruitment and outsourcing.
- work for a technology company
- exposure to complex projects
About Our Client
An organisation within the Technology industry located in Singapore.
Job Description
- Design and implement data pipelines using Azure technologies.
- Manage and optimise data architecture for efficient storage and retrieval.
- Work with cross-functional teams to work on data requirements.
- Ensure data security and compliance with relevant regulations.
- Monitor and troubleshoot data workflows to ensure smooth operations.
- Develop and maintain documentation for data processes and systems.
- Provide technical expertise and guidance on Azure data solutions.
- Implement best practices for data governance and quality assurance.
The Successful Applicant
A successful Azure Data Engineer should have:
- Strong technical skills in Azure data services and tools.
- Knowledge in building and managing data pipelines and workflows.
- Knowledge of data security and compliance standards.
- Proficiency in optimising data architecture for performance.
- Ability to work effectively with cross-functional teams.
- Excellent problem-solving and troubleshooting abilities.
What's on Offer
- Hybrid work environment
If you are skilled in Azure data solutions and looking for a role in Singapore within the Technology industry, we encourage you to apply.
Contact
Akshata Modak (Lic No: R25129545 / EA no: 18C9065)
Quote job ref
JN-082026-7090595
Phone number
+65 6416 9814
Michael Page International Pte Ltd | Registration No. 199804751N
Skills
Data Protection Regulation, Liaising with cross functional teams, Storage Architecture, Pipelines, Data Pipeline, Azure Data Explorer, Azure Data Factory, Workflow Analysis, ETL, Process Documentation, Data Governance, Data Engineering, SQL Server, Analysis Services
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