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Build and optimize scalable ELT/ETL pipelines and data workflows in Snowflake and Oracle, using Python, SQL, and CI/CD to support capital and credit data foundations for banking compliance.
Design and maintain scalable ELT/ETL pipelines, optimize PLSQL queries, and automate data workflows in Snowflake & Oracle for a Nordic bank’s credit and capital data foundation.
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+…
Build and maintain Lunar’s real-time data platform using Flink, Iceberg, and Kubernetes, enabling self-service analytics for the bank’s teams.
Build and own Lunar’s real-time data platform, Hubble, using Flink, Iceberg, and Kubernetes to power AI-driven banking analytics for millions of users.
Senior engineer building Lunar’s real-time data platform (Hubble), owning streaming pipelines with Flink/Spark, cloud infra, and data products for analytics.
Design and enhance event-driven, scalable data platforms using Kafka and Flink for a global energy-management company in Kolding.
Senior Data Engineer at Schneider Electric builds and operates event-driven streaming pipelines (Kafka, Flink) for a cloud-based DCIM SaaS product, shaping scalable data architectures and ensuring reliability and governance.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Design and build scalable data pipelines and architecture using Python, SQL, and cloud platforms (AWS/Azure/GCP) to transform raw data into actionable insights for a fintech company.
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Build and own data migration pipelines to move core banking data from legacy systems like Ultradata into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Build and maintain secure, production-ready data pipelines and integrations to expand data usage across the organization.
Build and maintain production-grade data pipelines, integrations, and AI-enabled analytics for a modern estate-planning platform.
Build and maintain production-grade data pipelines, models, and integrations for analytics, AI tools, and embedded products at a modern estate-planning fintech.
Builds scalable data pipelines and real-time streaming platforms using Java, Kafka, and AWS services to power analytics and AI-driven decisions.
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