Senior Data Engineer (Python / AIML / Gov) - spvw

SCIENTEC CONSULTING PTE. LTD.; Singapore; Hybrid; SGD 75,000 - 90,000; Full time

Job summary

A leading consulting firm in Singapore is seeking a meticulous Data Engineer to develop scalable data solutions for large-scale public sector initiatives. You will design ETL pipelines, manage data infrastructure, and collaborate with teams on analytics. The ideal candidate has over 3 years of experience in data engineering and proficiency in Python and SQL. This role offers a hybrid working arrangement and the opportunity to work on significant government projects.

Qualifications

• 3+ years of experience in a data engineering or backend role.
• Hands-on experience with building ETL/ELT pipelines.
• Proficient in scripting languages like Python and SQL.

Responsibilities

• Gather and integrate data from multiple sources.
• Design and maintain data pipelines for ETL processes.
• Manage and maintain scalable data warehousing solutions.

Skills

ETL/ELT pipelines

Power BI

SQL

Python

Data governance

CI/CD setups

Education

Related certifications

Tools

Tableau

Job description

We are looking for a meticulous and innovative Data Engineer to join our team and help develop scalable data solutions that support business intelligence and analytics initiatives. This role is best suited for individuals who enjoy solving complex data challenges and building end-to-end data pipelines and storage systems.

• Play a key role in shaping data systems for a large-scale public sector initiative.
• Hybrid working arrangement.
• Join our dynamic team and contribute to significant government projects!

Responsibilities:

• Gather and integrate data from multiple sources including databases, APIs, and external files.
• Design, develop, and maintain data pipelines for ETL processes to prepare data for storage and analysis.
• Optimize and monitor data infrastructure to ensure data integrity, security, and performance.
• Manage and maintain scalable data warehousing solutions
• Manage storage solutions to enable efficient retrieval and backup of data.
• Deploy machine learning models into production environments.
• Collaborate with business and technical teams to build user-friendly dashboards using Power BI or other tools.
• Conduct data analysis and generate insights to guide strategic business decisions.
• Define and implement best practices for data and DevOps processes

Requirements:

• At least 3 years of experience working in a data engineering or backend data role.
• Strong proficiency in building and managing ETL/ELT pipelines.
• Hands-on experience with dashboarding tools like Power BI or Tableau.
• Solid understanding of data governance, data security, and system logging.
• Strong proficiency in scripting languages (e.g., Python) and SQL for data manipulation.
• Prior experience working on public sector or large-scale enterprise data projects would be a plus.
• Prior experience in CI/CD setups.
• Familiarity with building scalable APIs and deploying ML/AI solutions
• Solid foundation in algorithms, database structures, and integration strategies
• Related certifications will be a plus.

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Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781