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Leads a team building and evolving Hasbro’s shared data platform (Databricks/Snowflake/AWS) to support analytics, AI, and ML teams, focusing on standardization, reliability, and cost discipline.
Design and implement modern Google Cloud Platform (GCP) data platforms to enable advanced analytics and AI-driven insights via near real-time pipelines.
Build and maintain data platforms on Google Cloud Platform using Python and SQL to support analytics and AI-driven insights for a global fitness company.
This Junior Data Engineer role involves designing scalable data pipelines and ETL/ELT processes on cloud and on-premise platforms within a consultancy environment.
A Databricks Expert who bridges Data Science and Data Engineering, supporting customers in Big Data projects. They handle data acquisition, transformation, and loading into data lakes for analytics and ML models using cloud environments (especially Azure), Databricks, and related technologies.
Junior Cloud Data Engineer role focusing on Google Cloud Platform (GCP) to build batch/real-time pipelines, transform data, and prepare datasets for Data Scientists and BI tools while optimizing ML models for execution.
Bridges Data Science and Data Engineering in a cloud-native environment, delivering data lake pipelines and scalable analytics solutions. Collaborates on mapping data needs and implementing transformations for analytics and ML models using Azure.
This Data Engineer role focuses on building and optimizing data flows for marketing automation, collaborating with Marketing and Tech teams to enhance campaign personalization and segmentation through data-driven solutions.
You will model data, validate systems, and guide AI-enabled data workflows in regulated environments, collaborating with clinical and quality teams using Python and SQL.
Design and manage batch and real-time data pipelines using Google Cloud Platform. Transform structured and unstructured data to provide ML-ready datasets for data scientists.
Data Engineer role focusing on AWS, S3, and Redshift for ETL pipelines, requiring PySpark and SQL skills in a hybrid environment.
Descripción del trabajo En Keepler (part of Accenture) queremos hacer crecer nuestro equipo con personas que tengan ganas de desarrollar software basado en datos con dos objetivos: ayudar en la transformación a…
En Keepler (part of Accenture) queremos hacer crecer nuestro equipo con personas que tengan ganas de desarrollar software basado en datos con dos objetivos: ayudar en la transformación a nuestros clientes y disfrutar…
Backend Developer / Data Engineer Business Systems Software Company Full time in-office in Bristol City Centre - Up to £50k Our client are a global SaaS Business Software platform provider that leverages innovation and…
Overview Windows runs on over a billion devices worldwide, and the Windows Data team turns the signal from that ecosystem into the insights that shape the product. We manage, optimize, improve, and extend several…
BANC OF CALIFORNIA AND YOUR CAREER Banc of California, Inc. (NYSE: BANC) is a bank holding company with over $34 billion in assets and the parent company of Banc of California. Banc of California is one of the nation’s…
Your new company Our client is a company based in Hobart looking for an experienced Data Engineer. Your new role We are seeking an experienced Data Engineer (AWS) to design, build, and maintain scalable data pipelines…
Hungerstation is part of the Delivery Hero Group, the world’s pioneering local delivery platform. Our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries…
Build and maintain data pipelines, ETL processes, and warehouses to deliver clean, reliable data for reporting and analytics using SQL, Python, dbt, and cloud tools like Snowflake and AWS.
Designs and builds scalable data pipelines and integrations for an AI-powered healthcare platform, ensuring reliable data flow for analytics and AI agents.
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