Data engineer (Azure)

Flintex Consulting Pte Ltd; Singapore; On-site; SGD 45,000 - 50,000; Full time

Job summary

Flintex Consulting Pte Ltd is seeking a Data Engineer (Azure) in Singapore to design and develop PySpark data pipelines and to build Power BI reports with secure access controls. You will connect to diverse data sources, manage storage with SQL and big data platforms, and deploy pipeline artifacts via Azure DevOps.

The role requires 1–2 years in Azure data engineering, Python, PySpark or Big Data development, and solid knowledge of Azure Synapse analytics for orchestration.

Qualifications

• Bachelor’s degree in CS or Engineering with 2 years of Azure data engineering, Python, PySpark or Big Data experience.
• Solid knowledge of Azure Synapse analytics for pipelines and orchestration.
• 1-2 years of Power BI visualization design and development with row-level security.
• Experience in SQL, Datawarehouse, data marts, data ingestion with PySpark and Python.
• Experience in ETL pipelines on cloud platforms like AWS/Azure; Azure Synapse or Data Factory preferred.

Responsibilities

• Design, review and develop PySpark scripts; test and troubleshoot data pipelines.
• Create Power BI reports and dashboards with row-level security and DAX queries.
• Connect to data sources from on-prem, IoT devices, and APIs.
• Manage data storage using SQL servers and big data platforms per project.
• Develop data pipelines with PySpark, handle batch ingestion; deploy artifacts via Azure DevOps.

Skills

Azure Data engineering

Python

PySpark

Power BI

SQL

Education

Bachelor’s Degree in Computer Science or Engineering

Tools

Azure DevOps

Azure Data Explorer

Azure Synapse Analytics

SQL Server

Hadoop

Job description

Posted On 19/10/2026

Job Information

Work Experience 1-3 years

Technology

SGD 4000 -SGD 4500

City Singapore

State/Province Central Singapore

079903

Job Description

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.