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We are seeking a skilled Data Engineer to join the Insights, Digitalization & Analytics department. The ideal candidate will design, develop, and maintain scalable data solutions to drive analytics, machine…
Senior ML Engineer builds and operates cloud-native ML systems for multimodal healthcare data, including clinical document analysis, medical text processing, and conversational AI agents using GCP tools.
At Apple, everything begins with the customer experience. Apple Ads extends this philosophy to advertising—helping people discover what they need while empowering advertisers to grow their businesses. Our technology…
Builds and maintains ETL/ELT pipelines in Hadoop/Spark to load and transform large customer and campaign datasets for a bank’s omnichannel personalization platform.
Build a near real-time data platform for eBay’s $2B+ ads business, integrating JVM services, big data tech (Hadoop, Kafka, Spark, ClickHouse), and agentic AI to deliver campaign insights and ML-driven features for sellers and advertisers.
Analyzes user behavior and campaign data to personalize offers in Sber’s omnichannel banking ecosystem, runs A/B tests, and builds metrics to optimize products and business processes.
Builds and maintains hybrid cloud data pipelines, cleaning and anonymizing data for real-time and batch processing to feed analytics and ML workloads.
Senior Data Engineer Location: Markham, ON (3x onsite a week) Employment Type: Contract Pay Rate: CAD$50 - $65/HR INC Responsibilities Advocate for engineering standards and process efficiencies to ensure high‑quality,…
Job Summary We are looking for an experienced Quantexa Certified Data Engineer / Data Architect to join our growing data engineering team. The ideal candidate will have strong expertise in Quantexa, Apache Spark,…
About our group: We are a proactive, highly solutions oriented and collaborative team that works with all the various business groups across the organization. Our purpose is capturing massive amounts of data is to…
Build and maintain ETL/ELT pipelines in Hadoop/Spark to clean, transform, and load large datasets into data warehouses for client-centric product recommendations.
Designs and builds scalable ETL/ELT pipelines and enterprise data warehouses using Teradata and Hadoop to integrate and optimize data for analytics.
Build and maintain scalable ETL pipelines and data warehouses to support Sea’s finance teams, enabling accurate reporting and analysis across Garena, Shopee, and Monee.
Design and build scalable data pipelines, ETL processes, and APIs to integrate and transform data for analytics and applications in a cloud-based environment.
Build and maintain MLOps infrastructure and decision engines to productionize AI/ML models, including LLMs, for real-time enterprise workflows.
What you will be working on Who we are: The mission of GovTech's Data Programme is to deliver fit‑for‑purpose data assets and services for policy making, service delivery and operations across Whole‑of‑Government…
Build and maintain distributed systems and data pipelines using Scala, Spark, and cloud services like AWS for a client in Glasgow.
Data analyst builds and tracks product metrics, analyzes customer funnels, runs A/B tests, and improves personalization in Sberbank’s omnichannel ecosystem using SQL, Python, and BI tools.
Build and automate secure cloud solutions in Python and AWS for a government cybersecurity project, using DevOps pipelines and Apache NiFi in containerized environments.
Build and maintain scalable ETL pipelines using Python, Databricks, and Snowflake to move and transform data for clients in an agile, collaborative environment.
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