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About Eucalyptus We're on a mission to make good health last a lifetime. More than 1 billion people live with obesity worldwide, driving preventable chronic conditions. We're here to build better long-term…
Staff Fullstack Engineer at an AI-native fintech SaaS company, leading architecture and hands-on development of core platform features using TypeScript, React, Node.js, GCP, BigQuery, and MongoDB.
The Data Analyst partners with Product, Commercial, and Engineering teams to analyze user behavior, design experiments, and build scalable analytics foundations (metrics, dashboards, alerts) in a FinTech product environment.
Leads enterprise Data & AI architecture and client engagements, designing scalable cloud-based solutions and integrating AI tools to improve engineering workflows and business outcomes.
foodpanda is building an AI Center of Excellence and seeks an Analytics Engineering Manager (AI & Agentic Analytics) to lead and contribute hands-on. You will mentor analytics engineers, write code, design models,…
Data Engineer building and maintaining scalable data pipelines, warehouses, and data services on GCP (BigQuery, Airflow, Dataform/DBT, Pub/Sub, Cloud Functions) for a multi-carrier shipping SaaS platform, with an AI-augmented insights focus.
1. Product Marketing & Growth Planning (40%) Develop annual and monthly growth plans to drive recruiter acquisition and engagement, with clear success metrics. Translate the growth plan into a feasible initiatives…
The Data Engineering Manager will lead a team responsible for scaling data foundations, including data modeling, ETL pipelines, and governance, to support Airwallex's global fintech platform. The role involves coaching engineers and driving technical strategy for data infrastructure using tools like GCP, BigQuery, and Airflow.
Data Engineer designing and maintaining scalable data pipelines on Google Cloud Platform, using Python, BigQuery, and GCP services like Dataflow, Dataproc, and Pub/Sub in a hybrid setup based in Madrid.
Builds and maintains scalable data pipelines to extract, transform, and integrate data from multiple sources into a cloud data warehouse, ensuring reliability and performance for analytics and decision-making.
ML Operations Engineer owning production ML/LLM model serving, deployment, and operations in Mercari's cloud-native environment using Kubernetes, Terraform, Python, and NVIDIA/TPU stacks (Triton, TensorRT-LLM, JAX).
Build and maintain scalable GCP data pipelines and ETL/ELT workflows using Node.js, Python, and BigQuery for a marketing agency.
The BI Analyst will enable data-informed decision-making by analyzing customer behavior and travel patterns using SQL, dbt, and visualization tools like Power BI or Looker Studio. The role involves building data models, creating reports, and collaborating with stakeholders to drive strategic business insights.
The Data Analyst will build product usage analytics and dashboards to help cross-functional teams make data-driven decisions. The role involves using Python, SQL, and visualization tools like Power BI to transform telemetry data into actionable insights.
This role leads a team of technical specialists and deployment strategists to build and deploy Agentforce AI solutions for enterprise customers. The position requires hands-on leadership in AI architecture, team management, and direct customer engagement to drive production-ready AI implementations.
The Data Science Engineer III will design, develop, and maintain scalable batch and streaming data pipelines on GCP to support AI/ML-driven travel products. This role involves collaborating with cross-functional teams to ensure high data quality and performance within Sabre's cloud-native data intelligence platform.
Owns FinOps for Rakuten’s data platforms (BigQuery, Databricks, Azure, Snowflake), builds cost dashboards, runs monthly reviews, and implements GCP discounts to cut unit costs across 70+ business units.
The Data Analyst will support Rakuten Mobile's growth by analyzing vast user data to optimize marketing strategies and ad delivery. The role involves building dashboards, performing hypothesis testing, and collaborating with stakeholders to drive data-informed business decisions using tools like BigQuery, Python, and BI platforms.
The Principal Software Engineer will design and build cloud-native, data-driven surveillance platforms using Java, Python, and GCP. This role involves leading technical architecture, mentoring engineers, and developing scalable microservices and data pipelines in an agile environment.
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