Data engineer (Azure)

Flintex Consulting; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Flintex Consulting in Singapore is seeking an Data Engineer (Azure) to design, build and optimize PySpark data pipelines and master data workflows. You will implement Synapse-based orchestration, develop Power BI dashboards with row-level security, and connect to diverse data sources including on‑prem, APIs and IoT devices.

The role emphasizes cloud ETL development, collaboration, and deployment using Azure DevOps, with a standard 8:30am–6pm onsite schedule in Singapore.

Qualifications

• Bachelor’s Degree in Computer Science or Engineering; 2 years of Azure Data engineering, Python, PySpark or Big Data development.
• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.
• 1–2 years experience in Visualization design and development with Power BI; knowledge of row-level security.
• Strong SQL, Datawarehouse, data marts, data ingestion with PySpark and Python.
• Experience developing and maintaining ETL pipelines in cloud platforms (Azure Synapse or Data Factory).
• Team player with good interpersonal, communication, and problem-solving skills.
• DevOps expertise is preferred.

Responsibilities

• Design, review and development of PySpark scripts; testing and troubleshooting data pipelines and orchestration.
• Design and develop reports and dashboards in Power BI with row-level security DAX access control.
• Connect to source data systems: on-prem databases, IoT devices, APIs.
• Manage data in storage/data-base solutions: file systems, SQL servers, Hadoop or similar big data platforms.
• Develop data pipelines using PySpark, and perform batch data ingestion.
• Perform data integration via table joins and other methods per project needs.
• Deploy pipeline artifacts from one environment to another using Azure DevOps.

Skills

Azure Data Engineering

Python

PySpark

Power BI

SQL Data Warehouse

ETL Pipelines

Azure Synapse

Azure DevOps

Communication

Teamwork

Education

Bachelor’s Degree in Computer Science or Engineering

Tools

Azure Synapse Analytics

Azure Data Factory

Azure DevOps

Job description

Singapore, Singapore | Posted on 07/29/2026

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration.
• Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience.
• Establishing connections to source data systems such as on-prem databases, IOT devices, APIs.
• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.
• Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion.
• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.
• Deployment of pipeline artifacts from one environment to the other using Azure Devops.

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.
• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.
• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.
• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.
• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)
• Team player with good interpersonal, communication, and problem-solving skills.
• Preferred to have Devops expertise.

Working hours :

8:30am to 6pm (Monday to Friday) onsite, no hybrid option.