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Lead Data Engineer
Lead a team to design and build scalable AWS-based data pipelines and lakehouse architecture, balancing hands-on engineering with technical leadership and mentorship.
Data Engineer - BankTech & ML Ops (Híbrido)
Builds and maintains batch/near-real-time data pipelines while designing a Databricks Lakehouse architecture to support analytics and modeling in a fintech environment.
Senior Data Engineer (Databricks + Pyspark + Adf + Unity Catalog)
Designs and maintains large-scale data pipelines using Databricks, PySpark, and Azure Data Factory to modernize enterprise data infrastructure, ensuring governance, security, and performance for analytics.
Databricks Data Platform Engineer – Zurich
Develops and optimizes data platforms and ELT pipelines on Databricks Lakehouse, using SQL, Python, PySpark, and Delta Lake to integrate data sources and deliver consulting solutions from design to production.
Databricks Data Engineer - Datenplattformen & Kundenprojekte
Develops and optimizes Databricks Lakehouse-based data platforms and ELT pipelines, implementing data models (Data Vault, 3NF, dimensional) and integrating diverse data sources while advising clients on technical architecture and deployment processes.
Medior Data Architect Job ID: JP055082
Designs and builds Azure-based data pipelines and Digital Twin systems for smart-city projects, integrating IoT, geospatial and BIM data with ETL/ELT and Lakehouse architectures.
Databricks Data Engineer: Lakehouse Architect & Lead
Designs and leads scalable data platforms using Databricks and Lakehouse architecture, mentors teams, and delivers analytics solutions for enterprise clients in ANZ.
Manager Data Engineering
Lead a team to build and maintain scalable, secure data platforms and pipelines in the cloud, enabling analytics and AI across a financial-services company.
Azure Data Engineer — AI-Powered Pipelines
Builds and optimizes AI-powered data pipelines in Python, SQL, Databricks, and Azure Data Factory for lakehouse architectures.
Data Engineer (Azure & AI) - August Start
Builds and optimizes data pipelines in Azure/Databricks for clients, focusing on ETL/ELT, lakehouse solutions, and orchestration while bridging technical and business needs in a consulting environment.
Data Engineer
Builds and maintains scalable data pipelines and financial reporting systems using Microsoft Azure, Fabric, and Power BI to improve data accuracy and operational decision-making for finance and operations teams.
Senior Analytics Engineer: Azure Lakehouse & BI (Hybrid)
Builds and maintains data pipelines in Azure Lakehouse, transforms raw financial data into BI-ready models, and creates Power BI dashboards for a fintech client.
Lead Data Engineer
Lead a team of data engineers in Kuala Lumpur to build and govern K3 Advisory Group’s Azure-based data platform, integrating third-party data and AI/LLM products while enforcing strict security and regulatory standards.
Senior Data Engineer — Databricks, Lakehouse & Governance
Designs and maintains scalable data pipelines and lakehouse architectures using Databricks and PySpark for analytics and AI/ML workloads.
Senior Analytics Engineer [up to RM14K]
Builds and maintains data pipelines, lakehouse infrastructure, and BI tools for a Malaysian fintech firm, using Azure PaaS, Power BI, and Python/SQL to transform raw data into actionable insights for end users.
Senior Data Engineer
Build and maintain scalable data pipelines and Lakehouse solutions using Databricks and PySpark, ensuring high-performance analytics and governance for enterprise reporting and AI/ML workloads.
Data Platform Engineer: Analytics Pipelines & Governance
Design and maintain scalable data pipelines ingesting from ERP, CRM, and MES systems using Microsoft Fabric, building lakehouse/warehouse architectures with ETL/ELT processes while ensuring data quality and governance.
Senior Data Engineer: Real-Time Lakehouse & Pipelines
Builds and maintains real-time data pipelines on AWS/Snowflake/Databricks to enable analytics for APAC teams, optimizing performance and scalability for product and data science use.