Design, build, and optimize data pipelines for AI and analytics, implementing solutions using Microsoft Azure and collaborating with cross-functional teams.
We are seeking a highly skilled Data Engineer with strong expertise in AI-driven solutions and Microsoft Azure infrastructure to join our team in Singapore. The ideal candidate will bring both data engineering and data science background, with proven experience in Copilot Studio, RAGs (Retrieval Augmented Generation), and AI Foundry implementations.
Key Responsibilities- Design, build, and optimize data pipelines and workflows to support AI and analytics initiatives.
- Work hands-on with Copilot Studio for AI-driven application development and automation.
- Implement AI Foundry solutions on Microsoft Azure, ensuring scalable, secure, and cost-effective architecture.
- Develop and deploy RAGs (Retrieval-Augmented Generation) solutions for enterprise AI use cases.
- Collaborate with data scientists, solution architects, and business stakeholders to deliver AI-enabled data products.
- Manage and optimize data storage, integration, and retrieval strategies across structured and unstructured data sources.
- Ensure best practices in data governance, security, and compliance within Azure cloud infrastructure.
- 7–8 years of proven experience as a Data Engineer or AI/ML-focused Data Engineer.
- Strong background in data science, data engineering, and machine learning concepts.
- Hands-on expertise in Microsoft Azure services (Data Factory, Databricks, Synapse, Cognitive Services, AI Foundry, etc.).
- Practical implementation experience with Copilot Studio.
- Proven experience in RAGs (design, creation, and deployment).
- Strong programming/scripting knowledge (Python, SQL, PySpark, etc.).
- Experience with ETL/ELT, data warehousing, and API integrations.
- Good understanding of MLOps and AI deployment frameworks.
- Strong problem-solving skills, ability to work in fast-paced environments, and excellent communication skills.
- Microsoft Azure certification(s) such as DP-203, AI Engineer Associate, or Azure Solutions Architect.
- Experience with large-scale AI implementations in enterprise environments.
- Exposure to vector databases and LLM integration for AI-powered search and analytics.
Top Skills
Ai Foundry
Cognitive Services
Copilot Studio
Data Factory
Databricks
Azure
Pyspark
Python
Rags
SQL
Synapse
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
Similar Jobs
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
The role involves designing and maintaining data pipelines, collaborating on data architecture, and integrating external data sources to optimize data operations.
Top Skills:
BigQueryDbtFlinkHadoopJavaKafkaKotlinPythonScalaSnowflakeSparkSpring BootSQL
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
As a Staff Data Platform Engineer, you will oversee the architecture and operation of data and AI platforms, influence decision-making, and mentor a high-performing team.
Top Skills:
AirflowBigQueryDatabricksDataflowDataprocDbtGCPGoogle Cloud StorageKafkaKubernetesMcpRagSpark
Artificial Intelligence • Fintech • Payments • Financial Services • Generative AI
As a DevOps Engineer, you'll design and manage cloud infrastructure, ensuring performance, scalability, and security while collaborating across global teams.
Top Skills:
ArgoAWSAzureCi/CdDebeziumDockerFlinkGCPGitlabGitopsGoJavaJenkinsKafkaKubernetesPinotPythonRustTerraform
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.