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Role Summary Design, build, and run core services and reusable components for the open-architecture data platform, enabling scalable ingestion, metadata-driven processing, governance, and reliable multi-engine data…
Designs and governs scalable data architectures on Azure, migrating legacy systems to modern cloud platforms and enabling AI-driven analytics for public-sector clients.
Design and scale cloud-based data pipelines on Databricks and Snowflake, building medallion-architecture datasets for analytics and AI/ML that power Illumina’s genomics and healthcare products.
Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery Implementation and…
Builds and operates full-stack, high-throughput distributed systems for Apple’s exabyte-scale Big Data infrastructure, supporting global manufacturing operations. Works with React/TypeScript frontends, Java/Golang backends, Kafka, Druid, and Kubernetes in a large-scale cloud environment.
Design and lead enterprise-scale data platforms using Databricks, AWS/Azure services, and modern architectures like Medallion and Data Mesh; pair with engineers to build production-grade data products.
Builds and scales distributed web scraping architectures to collect billions of data points from retail/mobile sources, bypassing anti-bot measures and anti-fingerprinting defenses using tools like Scrapy, Playwright, and reverse-engineering techniques.
Build and optimize C++ microservices for high-performance data storage and retrieval in a trading firm’s data infrastructure stack.
Lead a team to design and build scalable data pipelines, lakes, and warehouses for government clients using cloud platforms like AWS and Databricks, ensuring data quality and integration.
About Euka Euka Future Learning is Australia's leading home education platform, delivering K-12 curriculum to thousands of families across the country. Our engineering team builds the systems that power enrolments,…
Designs and runs automated tests for data pipelines and ETL workflows, using Java, SQL, Spark, and CI/CD tools to validate data quality and transformations.
Build data-science models and tools to optimize supply-chain planning, inventory management, and replenishment strategies using SAP, Python/R, and Power BI.
Design and optimize large-scale PySpark data pipelines for enterprise analytics, handling TB–PB datasets with performance tuning and cloud-native Lakehouse architectures.
Build and optimize data pipelines, warehouses, and microservices for a bank’s modernization effort using Java, Python, and cloud tools like Kafka and Airflow.
Build and scale Matterworks' data platform pipelines, turning raw biochemical signals into validated datasets for ML research and product use.
Build and run data pipelines that turn raw mass spectrometry and molecular data into clean, reproducible datasets for AI training and product use in biochemistry.
Senior Data Engineer builds and maintains ETL pipelines using Spark, SQL, Kafka, and cloud data platforms like Databricks and Snowflake.
Senior Data Engineer builds and maintains large-scale cloud data pipelines and processing systems using AWS and big data tech to power analytics and ML at a global weather data provider.
System Data Scientist Location: Stockholm,Stockholm,Sweden Department: 76 Product Development Work Location: hybrid Join our Team About this opportunity: The RAN System Management & Architecture sector leads and…
Lead cross-functional programs to build and maintain XPENG’s autonomous-driving training data lake, coordinating data collection, processing, and delivery to improve AI model development for self-driving vehicles.
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