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Hybrid Data Engineering Intern — Paid, NZ
Build and maintain data infrastructure while improving data quality for a student association’s engineering team in a hybrid internship.
Data Engineer - Consultant
Build and deliver modern data platforms using Microsoft Fabric, Azure, and Databricks for New Zealand clients, owning end-to-end pipelines, warehousing, and reporting in a hands-on consulting role.
Senior Data Engineer: Scale Cloud Data Pipelines
Design and scale cloud data pipelines using Snowflake and BigQuery, ensuring reliable ingestion, transformation, and governance for a modern data platform.
MDM Engineer: Unified Customer Onboarding & Data Quality
Maybank in Kuala Lumpur is seeking an experienced backend developer to design, build and support enterprise-wide MDM solutions. You will implement data models, APIs, and integration patterns for core master data…
Data Platform & Analytics Engineer
Builds and maintains scalable data pipelines, lakehouses, and analytics dashboards for Zurich Insurance’s APAC operations, ensuring data quality and enabling self-service insights.
Data Platform Engineer: Fabric, Lakehouse & Pipelines
Designs and maintains scalable data pipelines using Microsoft Fabric to ingest ERP, CRM, and MES data, ensuring quality and enabling self-service analytics.
Senior Manager, Data Platform Engineering
Leads a team to build and maintain Prudential Malaysia’s data lake and enterprise data model on Azure, enabling analytics, AI, and regulatory reporting while ensuring governance and compliance.
Data Platform Engineer — Lakehouse on Microsoft Fabric
Design and build a modern data platform using Microsoft Fabric and OneLake, implementing Medallion Architecture and ingestion pipelines for ERP, finance, manufacturing, and supply chain systems.
Forward Deployed Data Engineer – Databricks / 15-22k P/M
Build and productionise Databricks lakehouse data products for a large financial services client, using Spark, Delta Lake, and Azure/Google Cloud to deliver governed datasets and self-service analytics.
Data Engineer
Design and maintain large-scale data pipelines using PySpark, Hadoop, and Azure services to process and transform semiconductor manufacturing data.
Data Engineer
Build and maintain secure, governed ELT pipelines and data models on Azure and Databricks to power analytics and AI across a UK-based professional services group, ensuring high-quality, reconciled data for regulated entities.
AI/ML Engineer (R-00194)
Design, build, and deploy AI/ML models and generative AI workflows, develop APIs and data pipelines, and operationalize solutions in cloud environments.
Senior Salesforce Developer
Lead the design and development of Salesforce solutions for a Fortune 100 insurer, integrating with AWS and modern front-end stacks to automate workflows and enhance user experiences.
Senior Data Engineer
Design and build cloud-based data pipelines and ETL/ELT processes using Python, PySpark, AWS/Azure services to support insurance analytics and modern data architecture.
Customer Success Operations Manager
Customer Success Operations Manager Remote US WHO WE ARE Certinia delivers a Services-as-a-Business platform that powers and connects all aspects of services operations, from services estimation and delivery to…
Data Engineer III
Builds and maintains scalable finance data pipelines on GCP (BigQuery, Dataflow, Pub/Sub) to power reporting, FP&A, and analytics for McDonald's India, ensuring data reliability and governance.
Application Development Lead Analyst
Lead analyst building automation and analytics solutions for healthcare data, writing SQL queries, and developing ETL pipelines in Python to deliver actionable insights.
Application Development Senior Analyst
Build and deploy automation and analytics solutions for healthcare data, writing SQL and Python to extract insights and improve business processes.
Test Automation Engineer- Cloud and data platforms
Build and maintain automated test frameworks for AWS data services using Python, pytest, and boto3 to validate functionality and performance of cloud platforms like S3, Redshift, and Glue.
Analytics Engineer — Build Trusted Data & Dashboards
Build scalable ELT pipelines and self-serve dashboards to turn raw data into trusted, decision-ready insights for Product, Growth, Revenue and Operations teams.