Senior Data Engineer - (Max Budget Sgd 9k)

Key Responsibilities

• Design, build, and optimize ETL/ELT pipelines using Databricks, Apache Spark, PySpark, or Azure Synapse.
• Develop real-time streaming pipelines using Kafka, Confluent, or Azure Event Hubs.
• Integrate and transform data from Core Banking, Trade, Payments, Treasury, and CRM systems.
• Implement data quality, validation, and lineage controls using tools like dbt, Great Expectations, or Deequ.
• Create and maintain data models (3NF, dimensional, or Data Vault) to support analytics and reporting.
• Work with Security and Governance teams to apply data masking, encryption, and tokenization per MAS TRM, PDPA, and PCI-DSS requirements.
• Support regulatory reporting data flows (e.g., MAS 610/649, Basel III/IV, IFRS 9/17).
• Collaborate with Data Scientists and AI Engineers to enable ML feature stores and model-serving pipelines.
• Participate in data platform modernization projects (e.g., migration from Teradata / DB2 to Snowflake / Databricks / Synapse).
• Automate data workflows and maintain CI/CD pipelines using Azure DevOps, Terraform, or GitHub Actions.

Technical Skills

• Languages: Python, PySpark, SQL, Scala
• Data Platforms: Azure Data Lake, Synapse, Databricks, Snowflake
• Data Orchestration: Airflow, Azure Data Factory, dbt
• Streaming: Kafka, Confluent, Event Hubs
• Governance: Azure Purview, Apache Atlas, Collibra
• Security: Data encryption, masking, RBAC, tokenization
• CI/CD & Infrastructure: Terraform, Azure DevOps, GitHub Actions

Experience & Qualifications

• 6–10 years of experience in data engineering, with at least 3 years in banking or financial services.
• Proven hands-on experience building real-time and batch data pipelines on Azure or AWS.
• Exposure to regulatory data frameworks (MAS 610, Basel III/IV, IFRS 9/17, BCBS 239).
• Understanding of DevOps and MLOps integration for data workloads.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Preferred Certifications:
• Microsoft Azure Data Engineer Associate
• Databricks Data Engineer Professional
• Snowflake SnowPro Core

Key Attributes

• Strong analytical and problem-solving mindset.
• Excellent communication and teamwork skills.
• High attention to data quality, performance, and compliance.
• Ownership and accountability in delivering high-impact solutions.

Job Types: Full-time, Contract
Contract length: 12 months

Pay: Up to $9,000.00 per month

Location:

• Singapore (Required)