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Build and maintain data pipelines and models to transform HR data into clean, analytics-ready datasets for workforce insights and decision-making.
Builds cloud data pipelines and storage systems to ingest, normalize, and deliver real-time robotics telemetry from defense vehicles to analysis tools using Python, Rust, and distributed systems like Spark and Kafka.
Builds and operates cloud data pipelines that ingest, normalize, and stream robotics telemetry from defense vehicles to enable real-time analysis, fleet-wide insights, and AI-driven command systems.
Data Engineer at an established international software business in South West London (hybrid, two office days per week), owning cloud data migration projects: moving customer data into AWS platforms, building ETL pipelines with Python and MySQL, and developing .NET microservices. Salary up to £58,000 plus bonus and benefits.
Senior backend engineer on Quizlet's Search team: builds data pipelines that feed Elasticsearch, designs indices, and operates hybrid lexical+vector retrieval and low-latency query APIs. Core stack: Python, SQL/dbt, orchestration tools, Elasticsearch/OpenSearch, Docker/Kubernetes on cloud.
Senior Engineering Manager leading Quince's MLOps team to build and scale the infrastructure powering production machine learning for its e-commerce business — model training, deployment, serving, and monitoring — on cloud-native tooling like AWS, Kubernetes, Terraform, SageMaker, and Kubeflow, while mentoring engineers and managing compute costs.
Build and scale the machine-learning infrastructure that powers Quince’s AI-driven retail platform, designing training pipelines, feature stores, and real-time inference systems on AWS and Kubernetes.
Staff engineer at Datadog shaping the Watchdog anomaly detection platform: leading architecture of high-scale distributed streaming and batch pipelines that automatically surface issues in customers' environments. Core stack includes Flink, Kafka, Cassandra, Go, and Python, with hybrid work from the New York office.
Principal engineer leading distributed storage systems (Data Stores, Memory Stores) and cloud services for Roblox creators, ensuring 100% uptime and building observability dashboards.
Build and scale Roblox’s distributed data infrastructure (Kafka, Flink, Spark, Trino, Druid) to process petabytes daily, enabling analytics, ML, and product decisions at massive scale.
Lead the architecture and long-term vision for Roblox’s petabyte-scale data infrastructure, including Kafka, Flink, Spark, and Trino, while integrating AI-driven autonomous interfaces.
Senior Data Engineer embedded in Roblox's Growth Org, building batch and streaming pipelines and analysis-ready datasets that power marketing measurement (MMM, attribution, incrementality) and end-to-end funnel analytics. Core stack: SQL, Python/PySpark or Scala, Spark/Kafka/Flink, Airflow/Dagster, and major cloud warehouses/lakehouses, onsite in San Mateo Tue-Thu.
Senior engineer on Roblox's Real-time Analytics Platform team, owning and scaling StarRocks and Apache Druid OLAP clusters that power sub-second analytical queries over petabytes of daily data. Builds Kafka/Flink streaming ingestion, tunes MPP query-engine performance, and runs clusters on Kubernetes/Terraform; onsite in San Mateo.
Undergraduate software engineering internship on Sony Interactive Entertainment's Data Plumber team, building and automating the data pipelines and streaming platform that power PlayStation's ML/AI. Day-to-day work centers on Java, Apache Kafka, real-time data processing, and CICD tooling (Docker, Jenkins, Kubernetes).
Builds and maintains real-time data pipelines for PlayStation Cloud Streaming, writing JVM-based (Kotlin/Scala/Java) Flink jobs and APIs to process streaming data across distributed infrastructure. Collaborates with BI and product teams to translate requirements into actionable insights, ensuring scalable, high-throughput systems for PlayStation’s global user base.
Staff Software Engineer on PlayStation's Data Platform team, designing and operating large-scale real-time analytics and stream processing systems (RTAP) using Apache Flink, Spark, ClickHouse, Druid, Kafka, and Python/Scala.
People-manager role leading Horizon3's EDR remediation team, turning NodeZero's autonomous pentest findings into defensive product capabilities. Oversees hiring, growth, scope, and operational discipline (design review, release, on-call) for backend engineers and security practitioners, partnering with a staff-level technical lead.
Data Engineer at Cognizant in Singapore building scalable ETL/ELT pipelines and a data lakehouse on Apache Iceberg and Snowflake using Python and SQL, including a dedicated China data environment on Alibaba Cloud to support PIPL data-privacy and compliance requirements.
Senior Data Engineer at Monee (part of Sea Limited), a digital payments and financial services provider, based in Singapore. Builds and optimizes batch and real-time feature pipelines and Data Marts using Spark/Flink, ETL, and data modeling with SQL, Python/Scala/Java, Kafka, Hive, and Airflow to support risk and data science teams.
Senior Data Engineer at Monee (part of Sea Limited) builds and optimizes batch and real-time feature pipelines with Spark/Flink, designs data marts and ETL, and ensures data quality for a digital payments and financial services business serving Southeast Asia and Latin America.
