Senior Data Engineer — Azure & Databricks (Banking)

Avensys Consulting Pte Ltd; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Avensys Consulting Pte Ltd in Singapore invites a senior Data SME to lead data engineering efforts on Azure and Databricks within a Corporate Banking context. You will own data solutions end-to-end on a live data platform, focusing on data mapping, pipeline design, and DW concepts.

The role requires deep hands-on SQL and Python, SDLC mastery, and the ability to deliver high-quality data products in a regulated banking environment.

Qualifications

• At least 10 years of experience in the data space with exposure to Corporate Banking.
• Strong hands-on SQL and Python skills and data mapping expertise.
• Deep knowledge of Azure and Databricks platform, including pipeline development and performance tuning.
• Understanding of data warehouse concepts (dimensional modeling, ETL/ELT) and SDLC.
• Experience with data quality, requirements analysis, design, build, test, and deployment.

Responsibilities

• Lead requirement analysis, design, build, and testing for data workstreams.
• Own data warehouse design and data mapping across platform components.
• Design, build, and optimize data pipelines on Azure and Databricks.
• Write SQL and Python scripts for data validation and transformation.
• Coordinate integration using FTP/SFTP, MQ, and APIs between systems.
• Provide banking domain context for Trade, Lending, or Payments data where relevant.

Skills

Data mapping

Databricks

Azure

SQL

Python

SDLC

Data warehouse concepts

Performance tuning

APIs/MQ/FTP

Tools

Databricks

Azure

FTP/SFTP

MQ

APIs

Job description

Avensys Consulting Pte Ltd in Singapore invites a senior Data SME to lead data engineering efforts on Azure and Databricks within a Corporate Banking context. You will own data solutions end-to-end on a live data platform, focusing on data mapping, pipeline design, and DW concepts.

The role requires deep hands-on SQL and Python, SDLC mastery, and the ability to deliver high-quality data products in a regulated banking environment.