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Lead a team building real-time customer context pipelines and low-latency personalization services using Kafka, Flink, Python/Scala, and AWS for agent experiences in healthcare.
Build and enhance real-time data infrastructure for a global betting platform using Golang, Kafka, Flink, and GCP services.
Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading,…
Senior Data Engineer builds and scales Python-based data pipelines (Pandas, PySpark, dbt, Airflow) on Snowflake/BigQuery, ensuring reliability and performance for analytics and AI workloads.
Build and optimize real-time risk and fraud systems for Wise’s North American market using Java/Kotlin and Spring, ensuring sub-second latency while processing billions in transactions.
Build and maintain the data pipelines and infrastructure that power Cohere’s enterprise AI products, working with Python, SQL, and distributed systems like Spark to transform raw data into actionable insights.
Design and own scalable backend services and cloud-native systems in Scala/Java, using Kafka, Spark, and Kubernetes to power global, data-intensive applications.
Build and scale global customer-support systems using Java, Spring Boot, and microservices to power AppleCare and Genius Bar operations handling billions of interactions.
Build and optimize ML models for crypto marketing: predict user behavior, forecast LTV, and allocate ad spend to drive growth on Binance’s exchange platform.
Lead the design and scaling of a security data platform that consolidates risk findings, ownership graphs, and posture metrics for Apple’s cloud services and infrastructure.
Senior Data Engineer builds scalable batch and real-time data pipelines on a Lakehouse platform using Snowflake, Databricks, AWS, Kafka and Flink to power analytics and AI across a property-tech marketplace.
Lead the design and implementation of low-latency, high-concurrency data pipelines and streaming platforms (Apache Flink, Redis) for Citi’s Fixed Income trading systems, coaching engineers and driving cloud-native microservices in Java/Python.
Designs and delivers end-to-end big data solutions for global enterprises, modernizing architectures and leading cloud migrations for industries like e-commerce, gaming, and fintech.
Build and maintain scalable data pipelines and a modern Lakehouse platform using Snowflake, Databricks, AWS, Kafka, and Flink to power analytics and ML across a large real-estate marketplace.
Lead the architecture and engineering of Citi’s global data and reporting platform, integrating federated query engines, BI tools, and AI-enabled interfaces while driving platform rationalization and adoption of generative AI tools.
Build and maintain large-scale data pipelines and analytics platforms using Hadoop, Spark, and related big-data tools to process and analyze massive datasets for enterprise clients.
Principal engineer leading Nike’s next-gen marketing data platforms, analytics engineering, and AI-driven insights to power global paid media, consumer engagement, and ad-tech systems.
Build and scale a big-data cybersecurity platform that processes billions of events daily using streaming, microservices, and distributed storage/processing frameworks like Flink, Spark, and DynamoDB.
Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or…
Please note: This job is advertised for Luxembourg but can be located in any of our EU sites or offices. We are seeking a Senior Analyst to own the analytical backbone across multiple high-impact domains within EU…
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