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AI-Driven Data Architect — Scalable Platforms (Hybrid)
Design and build scalable data platforms that power AI-driven analytics and insights across APAC and Europe, including data warehouses, lakes, pipelines, and governance frameworks.
Senior Specialist, Data Engineer, BSF
Build and maintain a Microsoft Fabric-based data platform, integrating SAP, Salesforce, and SQL sources, while developing Power BI reports and enforcing governance and security standards.
Senior Data Engineer: Cloud ETL & Data Warehouse Lead
Designs and builds scalable cloud ETL pipelines and data warehouses for ecommerce clients, leading end-to-end data lifecycle and cloud migrations.
Reporting and Analytics Developer/Data Engineer
Key Responsibilities Analyse the Authority’s data needs and document the requirements. Refine data collection/consumption by migrating data collection to more efficient channels. Plan, design and implement data…
Data Engineer III - Reliability Engineer
Build and maintain scalable data pipelines and warehouses using Python, SQL, ETL tools, and big-data tech (Hadoop, Hive) to deliver analytics-ready datasets for cross-functional teams.
Data Engineer III - Reliability Engineer
Builds and optimizes data pipelines, warehouses, and ETL processes using Python, SQL, Hadoop, and NoSQL to deliver analytics and insights for cross-functional teams.
Senior Data Engineer & Reliability Architect
Designs and optimizes data pipelines and architectures for analytics teams using Python, Java, SAS, and ETL tools.
Real-Time Data Engineer for Wealth Management
Build and maintain real-time data pipelines and ETL processes for a wealth management system using Java, Spring, and SQL databases like Postgres/Oracle.
Data Engineer l 12-month Contract
Build and maintain scalable data pipelines and ETL processes using SQL, Python, Databricks, and PySpark to deliver reliable, analytics-ready datasets and dashboards.
Reporting and Analytics Developer/Data Engineer 1543
Builds and maintains data pipelines, ETL workflows, and reporting dashboards for clients using Python, PySpark, SQL, and tools like Tableau and Cloudera.
Regional Data Engineer, Wholesale Banking Analytics
Builds and maintains data pipelines and architectures for regional wholesale banking analytics using Python, SQL, Hadoop, DBT, and Dagster to deliver analytics-ready data.
Statistician (Data Engineer) (Household, Income and Population)
Build and maintain cloud-based ETL pipelines and statistical registers for Singapore’s population and household data, using Python, SQL, and CI/CD to ensure robust, timely public-sector insights.
Senior Data Engineer (Python / AWS / SQL)
Design and build scalable data pipelines in Python and AWS to feed analytics and AI projects, ensuring reliable, high-quality data delivery for business users.
Senior Data Engineer: Build Scalable, Real-Time Pipelines
Senior Data Engineer builds and maintains scalable data pipelines, warehouses, and real-time processing systems to support analytics and decision-making.
Data Engineer: PySpark on AWS, CI/CD & Terraform
Build and maintain scalable data pipelines using PySpark on AWS, including ETL/ELT workflows with Glue and Step Functions, serverless automation with Lambda, and IaC with Terraform.
Data Engineer, Ad Data: Build ETL, Quality & Insights
Build and maintain ETL pipelines, ensure data quality, and collaborate with teams to deliver reliable data products for TikTok's ad platform.
AVP/VP, Data Engineering & Analytics, PB Commercial Office
Lead data engineering and analytics initiatives for a leading Asian bank, building scalable ETL pipelines and delivering insights via Qlik Sense dashboards to drive business decisions.
Finance Data Engineer: SQL/ETL & Snowflake Specialist
Design and build Snowflake-based ETL pipelines and SQL data models to feed analytics and reporting for financial clients.
Principal Data Engineer, Financial Services
Design and build scalable data platforms using Snowflake and Databricks to power analytics and decision-making in financial services.
Banking Data Engineer (ETL/Bigdata)
Design and maintain scalable ETL pipelines for banking data using Python, SQL, Hadoop, and Spark to ensure reliable, high-quality data integration and processing.