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Owns the FinOps data platform roadmap, defining specs for AI/ML pipelines, data contracts, and governance while driving migration to a lakehouse architecture and improving developer experience.
CommBank in Australia is seeking a Staff Data Engineer to shape data platforms powering customer engagement, CRM experiences and AI-enabled solutions across our Customer Channels & Data domain. You will design and…
Designs and builds scalable data pipelines and systems for a fast-growing food-tech marketplace, using Python, SQL, and distributed platforms like Snowflake and Kafka.
Build and maintain Verkada’s enterprise data warehouse, automated pipelines, and analytics models to power company-wide reporting and AI-driven insights using Python, SQL, and cloud platforms like BigQuery or Snowflake.
Lead the architecture and scaling of Tilt’s Databricks-based data warehouse, building self-service frameworks so Analytics, Data Science, and app teams can move fast without bottlenecks.
Build and maintain data lakes, warehouses, and pipelines using AWS tools (EMR, Glue, S3, Lambda) and Python/Scala; mentor junior engineers and enforce coding standards.
Designs and scales cloud-based data infrastructure for electric vehicles, focusing on multi-region Databricks orchestration and Terraform-driven IaC to support analytics and software-defined vehicle systems.
Lead the data team and build the scalable data platform powering Yuno’s cross-border payments, focusing on pipelines, quality, and governance.
Build and scale Qualifyze’s data platform, owning pipelines, modeling, and data quality while mentoring engineers and driving best practices in SQL, Python, dbt, and orchestration.
Design and build enterprise-scale graph data platforms using TigerGraph on AKS Kubernetes to power fraud detection, financial crime analytics, and customer intelligence with graph-based ML and real-time analytics.
The Trade Desk is a global technology company in London seeking a Lead Staff Software Engineer to own backend systems for a high-traffic data platform. You will design, build, and operate core services, mentor…
Build and maintain the core data platform that powers Milliman IntelliScript’s SaaS products for insurance and healthcare clients using modern data engineering tools.
Design and maintain data pipelines, metrics, and APIs for Agoda’s travel platform, ensuring data freshness, quality, and accessibility for analytics and AI-driven features.
Build and maintain scalable data pipelines and infrastructure using Java/Python and PostgreSQL/MySQL to support analytics and decision-making at a large gaming company.
Build and own Zefir’s data platform: a canonical semantic layer, governed metrics, and self-serve access so Finance, Growth and Ops can trust their KPIs and AI agents can query safely.
Build and operate Dexcom’s commercial data platform on AWS, designing scalable pipelines that ingest vendor data, transform it, and deliver analytics-ready datasets to teams driving AI/ML and commercial insights.
Build and scale enterprise-grade data platforms for healthcare data using Azure, Databricks, and Spark to enable secure, governed analytics and self-service data products.
Build reusable telematics data products in Azure Databricks that turn connected-vehicle telemetry into trusted, analytics-ready datasets for AI, safety, and enterprise decision-making.
Build and maintain large-scale backend services and data pipelines for paid marketing systems, integrating ad platforms like Google Ads and Meta to optimize global hotel and app campaigns.
Lead the design and implementation of scalable data infrastructure and systems to power analytics, data science, and business use cases at a leading sports-betting and gaming company.
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