We’re seeking a
Data Engineer
to design and build scalable data pipelines that power insight-driven decisions across large-scale systems.
This role is perfect for someone who enjoys transforming complex data challenges into clean, actionable solutions—working at the intersection of analytics, engineering, and business impact.
Core Responsibilities
Collaborate across teams to deliver reliable data solutions that support analytics, reports, and dashboards.
Design and develop end-to-end data pipelines—from ingestion and transformation to processing and visualization—using Azure, AWS, and Databricks.
Implement data integration using both batch and real-time methods (e.g., APIs, Kafka, Spark Streaming).
Develop and automate data workflows while ensuring high performance, quality, and scalability.
Partner with stakeholders to translate business needs into technical solutions and architecture.
Conduct data profiling and quality checks to identify and resolve data discrepancies.
Build and maintain data visualizations using Power BI, Tableau, or similar tools to drive data storytelling and decision-making.
Qualifications
Bachelor’s degree in Computer Science, IT, or related field.
Minimum of 4 years of hands-on experience in data engineering.
Proficiency in
Python, SQL, Spark, and cloud data platforms
(Azure, AWS).
Experience with
Databricks, Data Factory
, or equivalent tools.
Solid understanding of
data lake, warehousing, and big data architectures
(RDBMS, NoSQL, Apache Spark).
Skilled in
data visualization and modeling
(Power BI, DAX, API integration).
Strong analytical mindset with ability to translate business problems into data-driven solutions.
Experience in consulting or Singapore public sector projects is a plus.
Excellent collaboration and problem-solving skills.
This is a contract role based in Singapore.