Data Engineer, Singapore Global Network (1+1 Year Contract)
At a glance
Mid-level Data Engineering role at Sggovterp. EDB - SG SINGAPORE · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build Databricks workflows and notebooks that move data through Bronze, Silver and Gold layers
- Connect SaaS platforms and internal systems, then shape their data for analytics and reporting
- Use Unity Catalog to manage data discovery, lineage and access controls
- Create Jupyter notebooks, AWS storage solutions and basic predictive analytics pipelines
- Check data quality and monitoring, and work with stakeholders to prepare useful datasets
What you bring
- You have two to five years in data engineering and can run pipeline projects independently
- You hold a relevant diploma or degree in computing, engineering, IT or a related discipline
- You can use Databricks, Unity Catalog, Python, SQL and Jupyter notebooks for data work
- You have practical AWS data-service knowledge and understand ETL/ELT and pipeline design
- You understand foundational machine-learning concepts and how to build ML pipelines
Who this fits
This suits a mid-level data engineer who can take ownership of pipeline projects and collaborate with stakeholders. Singaporean or permanent-resident status is preferred.
From the employer
[What the role is]
The Singapore Global Network (SGN) is a division in the Economic Development Board tasked to re-energise Singapore's efforts in building a strong and extensive ecosystem of overseas Family, Friends, Fans (3F) for Singapore. SGN leads the Whole-Of-Government effort to coordinate across agencies and strengthen our collective networks whose skills, affinity and influence could help build linkages to global business and talent communities and enhance the international mindshare of Singapore as a leading globally connected city.[What you will be working on]
As a member of SGN's digital products team, you will develop and maintain data infrastructure and pipelines that enable SGN's analytics and reporting capabilities. You will work primarily with Databricks to implement robust data architectures that support our network analysis and business intelligence needs.
We are looking for a Data Engineer who is comfortable with building end-to-end data solutions using Databricks and AWS services. This role focuses on creating scalable data pipelines, implementing data governance practices, and preparing clean, reliable datasets for reporting and analytics. The role will involve but not be limited to:
Design and implement data pipelines using Databricks workflows and notebooks
Build and maintain medallion architecture (Bronze, Silver, Gold layers) for data processing and transformation
Develop ETL processes to integrate data from various SaaS platforms and internal systems
Implement data governance practices using Unity Catalog for data discovery, lineage, and access control
Create and maintain Jupyter notebooks for data exploration and collaborative analytics
Design scalable data storage solutions using AWS services (S3, RDS, Athena)
Build data models and prepare datasets optimised for reporting and business intelligence
Implement ML pipelines for basic predictive analytics and data insights
Ensure data quality, validation, and monitoring across all data workflows
Collaborate with stakeholders to understand data requirements and deliver analytics-ready datasets
[What we are looking for]
Requirements
Resourcefulness, integrity, drive, and strong collaboration skills are essential. We're looking for candidates with:
2-5 years of data engineering experience, with demonstrated ability to work independently on data pipeline projects
Diploma or degree in Computer Science, Engineering, Information Technology, Data Science or related disciplines
Proficiency with Databricks platform including workflows, notebooks, and cluster management
Experience implementing medallion architecture for data lake solutions
Hands-on experience with Unity Catalog for data governance and cataloguing
Strong Python and SQL skills for data manipulation and transformation
Experience with Jupyter notebooks and collaborative data science environments
Working knowledge of AWS data services (S3, Athena, RDS)
Understanding of ETL/ELT principles and data pipeline design patterns
Basic knowledge of machine learning concepts and ML pipeline implementation
Singaporean or PR
Preferred Qualifications
Databricks Certified Data Engineer Associate or Professional
Experience with AWS data services and Government Commercial Cloud (GCC)
Previous work integrating CRM systems like Salesforce with data platforms
Experience with data visualisation tools and business intelligence platforms
Knowledge of data governance frameworks and compliance requirements
Understanding of event-driven data architectures and real-time processing
Experience with BI tools such as Power BI or Tableau will be a plus
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