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Senior Data Engineer Job Opening In Singapore, Singapore – Now Hiring OPENSOURCE TECHNOLOGIES PTE. LTD.


Job description

Role Overview

The Senior Data Engineer is responsible for designing, building, and maintaining large-scale, secure, and high-performance data pipelines supporting critical Financial Services workloads.

The role focuses on data modernization, regulatory data aggregation, and AI/ML enablement across domains such as Core Banking, Payments, Risk, Treasury, and Regulatory Reporting.

Key Responsibilities

  • Design, implement, and optimize ETL/ELT data pipelines using Apache Spark, PySpark, Databricks, or Azure Synapse.

  • Build and operationalize real-time streaming pipelines leveraging Kafka, Confluent, or Azure Event Hubs for risk and liquidity data.

  • Integrate and transform data across Core Banking, Trade, Payments, Treasury, CRM, and Compliance systems.

  • Implement data quality, validation, and lineage controls using tools such as Great Expectations, Deequ, or dbt tests.

  • Develop and maintain data models and schemas (3NF, Dimensional, Data Vault 2.0).

  • Collaborate with Security and Governance teams to implement data security, masking, encryption, and tokenization in compliance with MAS TRM, PDPA, and PCI-DSS.

  • Participate in data platform modernization projects (Teradata/DB2 → Snowflake, Databricks, or Synapse).

  • Collaborate with Data Scientists and AI Engineers to deploy ML feature stores and model-serving pipelines.

  • Support regulatory reporting (MAS 610/649) and Basel III/IV data flows.

  • Maintain CI/CD pipelines for data infrastructure using Azure DevOps, Terraform, or GitHub Actions.

Required Technical Skills

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

Experience and Qualifications

  • 6–10 years of experience in data engineering, with at least 3 years in BFSI (banking, insurance, or capital markets).

  • Proven experience building real-time and batch data pipelines on Azure or AWS.

  • Exposure to regulatory data models (MAS 610, Basel III, IFRS 9/17, BCBS 239).

  • Familiarity with DevOps and MLOps integration.

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

  • Certifications preferred: Microsoft Azure Data Engineer Associate, Databricks Data Engineer Professional, or Snowflake SnowPro Core.

Key Attributes

  • Strong analytical and problem-solving mindset.

  • Ability to work across multidisciplinary and geographically distributed teams.

  • Excellent written and verbal communication skills.

  • High accountability and ownership for quality and delivery.

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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


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Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Singapore, Singapore, highlighting market share and opportunities for professionals in Senior Data roles.

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Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at OPENSOURCE TECHNOLOGIES PTE. LTD. adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Senior Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Senior Data Engineer typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Engineer Job Success

OPENSOURCE TECHNOLOGIES PTE. LTD. interview tips for Senior Data Engineer

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Before the Interview:

Research: Learn about the OPENSOURCE TECHNOLOGIES PTE. LTD.'s mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Final Thought:

To prepare for your Senior Data Engineer interview at OPENSOURCE TECHNOLOGIES PTE. LTD., research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the OPENSOURCE TECHNOLOGIES PTE. LTD.'s products or services and be prepared to discuss how you can contribute to their success.

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