AI-generated summary
- Build and optimize cloud data pipelines, ETL, ingestion, APIs and dashboards.
- Work on Azure lakehouse: Databricks, Synapse, ADF, Data Lake.
- Rotate across engineering, analytics & visualization; exposure to Data Science/AI and impact decisions!
Undisclosed
George Town Malaysia, Kuala Lumpur
Full-Time
Job Description
Project description
We are looking for a versatile Data Solutions Engineer capable of supporting the complete data lifecycle, from data ingestion and engineering to analytics, visualization, and API enablement.
The ideal candidate combines strong Data Engineering fundamentals with the ability to work closely with business stakeholders, develop reporting solutions, and contribute across multiple data-related initiatives. Exposure to Data Science and AI use cases is considered an advantage.
This role requires a flexible mindset, as the engineer may rotate between Data Engineering, Data Analytics, and Data Visualization initiatives depending on project priorities.
Responsibilities
Design, develop, and maintain scalable data pipelines.
Build and optimize ETL/ELT processes.
Develop data ingestion, transformation, and aggregation workflows.
Ensure data quality, reliability, and performance.
Develop solutions using cloud-based data platforms.
Build and optimize data processing notebooks and workflows.
Work with Data Lakes, Lakehouse architectures, and distributed data processing technologies.
Support CI/CD and deployment activities for data solutions.
Collaborate with business users to gather and clarify requirements.
Translate business needs into analytical and technical solutions.
Develop KPI calculations, reporting logic, and support data exploration for business insights.
Build dashboards and reports to enable self-service analytics and decision-making.
Develop and maintain APIs to expose data products and integrate with consuming applications.
Skills
Must have
Programming:
Python
SQL
Data Engineering:
Databricks or Apache Spark / PySpark
Cloud Platform:
Microsoft Azure
Examples:
Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure, Synapse Analytics, Microsoft Fabric
Data Processing:
ETL / ELT
Data Modeling
Data Pipeline Development
APIs:
FastAPI (preferred)
Flask / REST API development experience acceptable
Data Visualization
At least one of:
Power BI
Tableau
Looker
Similar BI platform
Nice to have
Data Science & AI
Machine Learning fundamentals
Predictive Analytics
AI/ML model integration
Statistical analysis
Advanced Data Platform
Azure Synapse
Microsoft Fabric
Azure ML
Snowflake
DevOps
Azure DevOps
Git
CI/CD pipelines
Other
Languages
English: C1 Advanced
Seniority
Senior
Job Requirements
Company Benefits
Friendly environment
Enjoy coming to a workplace where you’re treated with respect within a multicultural team.
Corporate celebrations
Take part in fun, international social activities organized for your location.
Mobility Hub
Open the door to new career opportunities by transferring to new projects or teams.
Self-learning library
Dive into a wealth of learning that’s at your fingertips with our vast online library of eBooks and resources.
Work-life balance
Support your (me-time) by setting up a flexible working arrangement.
Employee health and well-being
Take advantage of health programs, diversity and inclusion events and sporting activities to keep you fit and well.
Additional Info
Company Activity
Last active - few days ago
Experience Level
0 - 10 Years of Experience
Company Profile
