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Lead engineering strategy for data and AI platforms at REA Group, designing scalable architectures and aligning technical roadmaps with business goals.
Lead data engineering teams and build cloud-native platforms that deliver AI-ready data, bridging engineering, data science, and business outcomes.
Lead the data and AI engineering strategy for REA Group’s Financial Services team, building scalable platforms and AI-enabled capabilities to connect customer experiences with business value.
Leads a team to build and maintain a cloud-native data platform for AI and analytics, using AWS/Azure/GCP, in a hybrid Dubai fintech company.
Build and maintain in-house liquidity models and data pipelines using Python and SQL for a government investment firm in Abu Dhabi.
Lead the design and scaling of a cloud-native data platform for a high-growth fintech, building pipelines, warehouses, and governance to enable AI and real-time analytics.
Lead the build and operation of a liquidity analytics platform, writing production-grade code and integrating financial data sources into a predictive model.
Lead a data engineering team to build sales-focused data products, implement AI enhancements, and drive B2B sales cycles for a mobility company.
Lead a team to build and scale a modern data platform, migrating legacy systems to a robust, high-performance infrastructure while ensuring SLAs are met.
Lead a data engineering team to build and scale a robust data platform, consolidating legacy systems into a high-quality infrastructure for precision medicine initiatives.
Leads the design and implementation of a large-scale data ecosystem, setting architecture and engineering standards to drive business intelligence and data-driven decisions.
Lead a data engineering team to build ingestion, transformation, and governance pipelines for enterprise systems (PLM, ERP, MES) using Databricks or Azure Data Factory to feed knowledge graphs and Digital Twins.
Lead a data team to design scalable architectures, build data pipelines, and enforce governance—aligning data strategy with business goals.
Leads a BI & data-engineering team to build and maintain the analytics stack, ensuring accurate metrics and collaborating across departments using SQL and Python.
Lead a team to build and maintain scalable data pipelines (batch, real-time, streaming) that feed analytics and AI platforms, ensuring high-quality, governed data across SCOR’s reinsurance operations.
Principal engineer building and operating low-latency, resilient backend services and migration tools for Snowflake/Databricks on AWS/Azure, leading a software pod and setting platform engineering standards.
Leads a team to build and maintain VELUX’s global data platform and supports AI initiatives using cloud-based data solutions.
Lead a small AI engineering team, overseeing customer-facing and internal AI/ML initiatives while shaping the company's AI and data strategy.
Build and lead cloud-native data pipelines for regulatory reporting in investment banking, migrating legacy systems to AWS and integrating AI-driven workflows using Python, Kafka, and Kubernetes.
Lead a team building cloud-native data pipelines and AI-driven regulatory reporting systems for a global financial institution.
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