Data Engineer, BI & Analytics (Hybrid) – Relocation Supported

Black Pen Recruitment; Singapore; Hybrid; SGD 60,000 - 80,000; Full time

Job summary

A leading recruitment agency is seeking a Data Engineer to design and implement Business Intelligence (BI) and Data Analytics solutions. The ideal candidate will have over three years of experience in Azure Data solutions, a graduate-level education in Computer Science, and strong analytical and problem-solving skills. This hybrid position offers a dynamic work environment and involves collaboration with customers to address their business needs and provide efficient data solutions.

Benefits

VISA & Relocation Package Included

Base + Benefits

Qualifications

• Minimum of three years working in a similar role.
• Formal training or certification on related technologies is highly valued.
• Proficient in spoken and written English.

Responsibilities

• Architecting and general end-to-end design of BI and Data Analytics solutions.
• Designing and building efficient, appropriate, data models and pipelines.
• Working with business experts to understand business needs.

Skills

Azure Synapse Analytics

Azure Data Lake Storage Gen2

Azure SQL Database

Azure Data Factory

Azure Stream Analytics

Azure Databricks

Azure Blob storage

Azure Cosmos DB

Microsoft Power BI

OLAP technology

Microsoft BI Stack (SSIS/SSRS/SSAS)

Master Data Management

Data Governance frameworks

CI/CD

Microservices

Azure DevOps

Analytical thinking

Communication

Collaboration

Education

Graduate-level education in Computer Science

Job description

A leading recruitment agency is seeking a Data Engineer to design and implement Business Intelligence (BI) and Data Analytics solutions. The ideal candidate will have over three years of experience in Azure Data solutions, a graduate-level education in Computer Science, and strong analytical and problem-solving skills. This hybrid position offers a dynamic work environment and involves collaboration with customers to address their business needs and provide efficient data solutions.