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ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible…
Designs, builds, and maintains scalable AWS-based data pipelines and ELT workflows, ensuring reliability, performance, and collaboration with cross-functional teams.
Analyzes cloud, AI, SaaS, and on-prem billing data to build cost models, forecasts, and dashboards, advising clients on optimizing tech spend via automation and KPI-driven insights.
Lead Easyship's company-wide data and AI strategy, managing a team across analytics, data engineering, and data science, with a focus on modern data architecture, self-serve analytics, and ML-driven product innovation.
En Cobser Consulting estamos buscando un/a Salesforce Marketing Cloud & Data Cloud Senior Engineer para incorporarse a un proyecto internacional estable dentro de una compañía referente en Customer Experience y…
About the opportunity YOUR MISSION Own the end-to-end strategy to detect, prioritize, and resolve assortment data quality issues across a catalogue of +10 million products, leveraging AI-powered tooling and automation…
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
Builds and maintains data pipelines (Airflow, ETL) for a pharma loyalty-tech firm, integrating real-time pharmacy sales data with AI/ML to drive predictive insights and personalized promotions.
Builds and maintains data pipelines, architectures (Data Lakes/Warehouses), and ETL processes to ensure reliable, clean data delivery for decision-making, collaborating with data scientists and analysts.
Lead a team of 6-10 data scientists to deliver AI-driven analytics solutions for global consumer brands like PepsiCo and Unilever, using BigQuery SQL and visualization tools.
Designs and builds cloud-native data pipelines in Microsoft Azure (Fabric, Data Factory, Synapse) to enable scalable analytics and data-driven decisions, focusing on ingestion, modeling, storage, and orchestration.
Leads a hybrid data platform engineering team in Lisbon, designing scalable data architectures, pipelines, and analytics solutions using cloud platforms, SQL, and modern data tools like Snowflake or Databricks to drive business insights and AI/ML applications.
Analyze supply chain and logistics data to uncover insights, optimize stock flow, and improve operational efficiency for a UK home-improvement retailer.
Manager, Commercial Solution Engineering San Francisco, CA (hybrid, 4 days/week onsite) Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, and analytics directly in Sigma, with…
Senior full-stack engineer building a cloud-native creative automation workflow platform on Kotlin/Spring Boot, TypeScript/React, PostgreSQL, BigQuery, and GCP with Terraform.
Ambrook helps American family-run businesses become more profitable and resilient. From volatile markets to climate shifts, independent operators face mounting pressure. While sustainable investments often yield the…
Ambrook is hiring a growth engineer to build and optimize systems for user acquisition, activation, and retention using a tech stack centered on Next.js, React, and TypeScript. The role involves partnering with cross-functional teams to run experiments and develop infrastructure that supports the company's fintech and climate tech platforms.
Builds and automates data pipelines/tools for a major European e-commerce platform, collaborating with product/analytical teams to resolve issues and enhance data-driven services using Python, JVM languages, PySpark, and Google Cloud.
Role Title: Analytics Engineer (GCP) - Semantic Layer & Conversational Analytics Location: Norwest, NSW Start Date: ASAP Duration: 12-Month Contract (High Possibility of Extension) Working Flexibility: Hybrid (3…
Senior Backend Engineer at Oscar, a health insurance company, building reliable applications and infrastructure that simplify member and provider interactions with the healthcare system. Stack emphasizes Python, Golang, and observability tools like Grafana, BigQuery, and Kubernetes.
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