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Data Platform Engineer
Build and refine a modern data platform (Snowflake/GCP) to automate pricing analytics for retailers, migrating legacy systems while ensuring data quality and scalability.
Senior Data Platform Engineer | AWS, Spark & DevOps
Build and maintain next-gen data platforms on AWS using Spark, Python, and DevOps practices to design scalable pipelines, optimize analytics, and automate infrastructure.
Data Governance Lead
Lead the design and rollout of a federated data-governance framework for R&D data in a regulated pharma/biotech environment, ensuring compliance with GxP, GDPR and FDA while improving data quality and traceability.
Purview Data Governance Analyst
Configure Microsoft Purview to govern data lineage, classification, and access in a Microsoft Fabric/Azure platform, ensuring traceable, secure enterprise data assets.
Data Platform Tech Lead - ETL, BI & Migration
Lead the design and migration of data platforms, guiding ETL/BI teams to build accurate pipelines and models while enforcing architecture standards and data lineage.
Data Engineer - Data Governance Team
Builds and maintains data governance infrastructure for a large Danish financial data ecosystem, focusing on data quality, transparency, and lineage to support compliance and modern data architecture.
Principal Cloud Data Engineer | Kaipūhanga Raraunga Kapua Mātāmua
Lead the design and modernization of secure, cloud-native data platforms using Azure Databricks, Spark, and Delta Lake to support national statistics and evidence-based decision-making across New Zealand.
Principal Cloud Data Engineer | Kaipūhanga Raraunga Kapua Mātāmua
Lead the design and modernization of cloud-native data platforms using Azure Databricks, Spark, and Delta Lake to securely process and deliver critical national statistics for New Zealand.
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.
Senior Data Product Owner
Owns enterprise data products that turn raw data into insights and tools, driving revenue, cost savings, and better customer experiences for an insurer and asset manager.
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.
Data Engineer - Denodo
Build and optimize Denodo virtualized data models, integrating SAP ECC and enterprise systems to power finance and commercial reporting in a consultancy setting.
Senior Data Engineer
Build and scale a Snowflake-centric cloud data platform to power analytics and decision-making at Jetstar, designing reliable pipelines and enforcing data quality and governance.
Senior Data Engineer
Build and maintain Jetstar’s Snowflake-centric cloud data platform, designing scalable pipelines and enforcing data quality to power analytics and evidence-based decisions across the airline.
Data Platform Engineer - Security (m/f/d)
Builds and maintains real-time data pipelines and cyber data lakes that feed SIEM/SOAR systems, enabling threat intelligence, incident response, and compliance in a banking environment.
Senior Analytics Engineer - Data Modeling
Builds and maintains clean, scalable data models in SQL and dbt to power analytics and reporting for Talabat’s ecommerce operations.
Senior Security Engineer, Data Infrastructure
Build and secure Grow Therapy’s data infrastructure, implementing encryption, masking, and AI pipeline security for sensitive mental-health data.
Senior Data Engineer — AI Lakehouse & SAP Integrations
Senior Data Engineer designs secure data lakehouse pipelines and integrates SAP systems for real-time AI analytics and procurement workflows.
Data Governance Engineer
Designs and automates data governance tooling—catalogs, quality rules, lineage, and access controls—to ensure reliable, compliant data across pipelines and warehouses.
Data Engineer (ETL, MDM & AI Pipelines)
Build and maintain governed data pipelines (ETL/ELT, OCR, embeddings) that feed AI models and KPI dashboards from enterprise systems.