SalaryPeak

Senior Data Engineer- Financial Services

PURVIEW ASIA PACIFIC PTE. LTD.
Singapore 6+ years Posted Mar 14, 2026

Salary Range

SGD 108,000 - SGD 132,000 /year

SGD 9,000 - SGD 11,000/month

Skills Required

Microsoft AzurePySparkFactoryScalaAzurePipelinesData TransformationData GovernanceData EngineeringLoggingSQLCapital MarketsPythonBankingOrchestrationRegulatory ReportingApache

Job Description

Job Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Atleast 6–10 years of experience in data engineering, with at least 3 years in the BFSI domain (banking, insurance, or capital markets).
  • Proven experience in building real-time and batch data pipelines on Azure or AWS ecosystems.
  • Strong proficiency in Python, PySpark, SQL, and Scala for data transformation, processing, and automation.
  • Hands-on experience working with modern data platforms such as Azure Data Lake, Azure Synapse Analytics, Databricks, and Snowflake for scalable data engineering solutions.
  • Proven ability to design, schedule, and monitor data workflows using orchestration tools like Apache Airflow, Azure Data Factory, and dbt.
  • Experience in developing and maintaining real-time data streaming pipelines leveraging Kafka, Confluent, or Azure Event Hubs.
  • Familiarity with data governance frameworks and tools such as Apache Atlas, Azure Purview, and Collibra to ensure data lineage, cataloging, and compliance.
  • Strong understanding of data security practices, including encryption, role-based access control (RBAC), tokenization, and audit logging, aligned with regulatory and compliance standards.
  • Practical knowledge of CI/CD and Infrastructure as Code (IaC) tools — Terraform, Azure DevOps, and GitHub Actions — for automating data infrastructure deployment and management.
  • Exposure to regulatory data models such as MAS 610, Basel III, IFRS 9/17, BCBS 239.
  • Experience integrating DevOps and MLOps practices into data engineering workflows.
  • Strong analytical and problem-solving mindset with attention to detail.
  • Ability to collaborate effectively with cross-functional and geographically distributed teams.
  • Excellent written and verbal communication skills.
  • Demonstrated ownership, accountability, and commitment to quality and delivery.

Highly Preferred certifications:

  • Microsoft Azure Data Engineer Associate
  • Databricks Data Engineer Professional
  • Snowflake SnowPro Core