Data Engineer

TENTEN PARTNERS PTE. LTD; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading financial services company in Singapore seeks a Data Engineer to develop data platforms and enhance data infrastructure. The role involves working with cloud technologies and ensuring data governance while collaborating with analytics teams. Candidates should have over 4 years of experience in data engineering and strong skills in SQL and Python. Competitive salary and benefits offered.

Benefits

Comprehensive health and wellness programs

Annual leave 20 days

Medical coverage and health screenings

Financial benefits

Employee discounts

Professional development opportunities

Qualifications

• 4+ years of experience in data engineering, ideally within financial services.
• Strong proficiency in SQL and Python for data manipulation.
• Hands-on experience with at least one major public cloud platform.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows.
• Build scalable, reliable data platforms and data lakes.
• Contribute to the adoption of DevOps and DataOps practices.

Skills

Data engineering

SQL

Python

Public cloud platforms (AWS, Azure, GCP)

Data modeling

ETL orchestration

Version control (Git)

CI/CD pipelines

Infrastructure as code tools (Terraform, CloudFormation)

Education

Bachelor's or Master’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Databricks

Snowflake

Spark

Job description

An exciting opportunity to join one of the of fastest growing financial services companies in the APAC region. This role will report into the director of data engineering and be responsible for building out data platforms and data infrastructure as the firm moves to public cloud. This is a landmark transformation taking place at a great brand so it will be a unique opportunity to learn and grow your data engineering skills.

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT workflows that ingest, transform, and deliver high-quality data across the organization.

• Build scalable, reliable data platforms and data lakes leveraging modern public cloud services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow, Databricks, or Snowflake).

• Partner with data scientists, investment analysts, and technology teams to ensure data availability, quality, and performance for analytics and reporting use cases.

• Implement data governance, lineage, and quality controls in accordance with enterprise data management standards.

• Optimize data storage and query performance across structured and unstructured data sources.

• Contribute to the adoption of DevOps and DataOps practices (CI/CD, automated testing, infrastructure as code).

• Ensure all solutions comply with information security, regulatory, and compliance requirements relevant to the asset management industry.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.

• 4+ years of experience in data engineering, ideally within financial services or other highly regulated industries.

• Strong proficiency in SQL and Python for data manipulation and automation.

• Hands-on experience with at least one major public cloud platform (AWS, Azure, or GCP).

• Experience with modern data stack tools such as Databricks, Snowflake, Spark, or similar distributed data processing frameworks.

• Solid understanding of data modeling, ETL orchestration, and data warehousing concepts.

• Familiarity with version control (Git), CI/CD pipelines, and infrastructure-as-code tools (Terraform, CloudFormation, etc.).

Benefits

• Comprehensive health and wellness programs

• Annual leave 20 days

• Medical coverage and health screenings

• Financial benefits

• Employee discounts

• Professional development opportunities

Salary

Salary range: SGD 120K - 150K base salary plus bonus

Equal Opportunity Statement

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.