Tech jobs
Job listings
Senior Data and AI Solution Architect
Designs and leads end-to-end Azure-based data, analytics, and AI solutions, including Power BI, Databricks, and Azure OpenAI, ensuring security, scalability, and governance.
Data Engineer
Designs and builds scalable ETL pipelines, data models, and quality solutions using SQL, Python, Spark, and cloud tools to enable analytics and reporting.
Lead Data Engineer
Lead a team building scalable data pipelines and warehouses on AWS, enabling self-service analytics with Python, SQL, and tools like Redshift and Airflow.
Senior Data Engineer: End-to-End Big Data & Real-Time ETL
Designs and builds end-to-end data pipelines and real-time ETL for a bank’s data lake using Kafka, Flink, and Hudi, while guiding teams in a fast-moving financial services environment.
Senior Data Engineer - Hadoop, PySpark & Azure Platform
Designs and optimizes large-scale data pipelines using Hadoop, PySpark, and Azure services like Databricks and Data Factory to process and transform data efficiently.
Data Engineer: Build Scalable Pipelines for Ethical Fintech
Build and optimize scalable data pipelines, warehouses, and lakes using SQL, Python, and AWS to support analytics and reporting for a fintech investment platform.
Azure Data Engineer & BI Specialist
Designs and manages Azure data pipelines and BI dashboards to transform raw data into actionable insights for a mobility-focused automotive company.
(Senior) Data Engineer-1
Build and maintain scalable data platforms and pipelines using Snowflake, DBT Cloud, and Python/SQL to power AI/ML products and analytics for a global building-materials company.
Cloud Data Engineer: Build & Optimize Pipelines (Azure/AWS)
Design and maintain cloud data pipelines on Azure/AWS, automate ETL workflows, and build web scrapers to feed a data lake and warehouse.
Senior Data Engineer – AI-Ready Data Platform Lead
Lead the design and maintenance of a scalable, AI-ready data platform using Azure tools, ensuring high-quality data pipelines and models for analytics and machine learning.
Data Engineer
Design and build scalable data pipelines on Hadoop, Azure, and PySpark, then orchestrate and monitor them with Airflow and Kafka to deliver clean, reliable data products.
Senior Data Engineer
Designs and builds ETL/ELT pipelines and data lakes for a Malaysian bank, using tools like Informatica, Kafka, and SQL to move and transform financial data for reporting and analytics.
Lead Data Engineer
Lead a team to design, scale, and govern a retail-focused common data model, integrating POS/ERP/CRM data and embedding GenAI to automate pipelines and improve data quality for BI and AI teams.
Data Engineer, Ikano Retail
Build and maintain scalable data infrastructure and ETL pipelines using Azure tools to support analytics and AI initiatives for IKEA’s retail operations in Malaysia.
Senior Data Engineer, Platform
Senior Data Engineer builds and maintains Ryt Bank’s data platform to reliably ingest, process, and serve clean data for analytics and decision-making using Python, SQL, PySpark, and cloud data warehouses.
Data Engineer: Build Scalable Pipelines & Insights
Build and optimize ETL pipelines, data warehouses, and lakes to power analytics and insights for a global fintech platform.
Data Engineer
Build and maintain data pipelines, warehouses, and lakes for a Shariah-compliant fintech; use Python, SQL, AWS, Kafka, and Elasticsearch to deliver clean, secure data for analytics and product teams.
Data Engineer
Builds and maintains data pipelines, scrapes property data, and integrates systems using Azure/AWS tools like Databricks and Redshift.
Senior Data Engineer
Build and maintain Spark-based pipelines for a financial-messaging company’s Gold-layer data warehouse, ensuring data quality and collaborating with analysts and engineers.
Senior Data Engineer
Senior Data Engineer builds and scales web-scale data pipelines for AI research, focusing on crawling, normalization, and metadata governance to power sovereign AI models like Ilmu.