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Strategy & Business Analysis Leader- Family Care Job Description Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At…
We are seeking an experienced Product Owner to lead the delivery and evolution of our enterprise Master Data Management (MDM) platform. This role will partner closely with business stakeholders, data governance teams,…
adattárházak, adatpiacok és kapcsolódó adatstruktúrák fejlesztése, ETL/ELT folyamatok tervezése, megvalósítása és karbantartása, adatmodellek, táblastruktúrák, nézetek és lekérdezések készítése, adatminőségi…
nagy mennyiségű adat feldolgozását támogató adatfolyamatok tervezése és fejlesztése, adatbetöltési, adattranszformációs és adatminőség-ellenőrzési folyamatok kialakítása, adatforrások integrálása, strukturált és félig…
WIR suchen dich! Statt nur Code zu schreiben, möchtest du sehen, wie deine Arbeit wirkt? Gemeinsam mit fünf Analytics- und Data-Expert*innen entwickelst du in Bonn moderne Datenlösungen für ein ganzheitliches…
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.
Design and develop data pipelines and distributed architectures (Hadoop, Spark, Microsoft Fabric, Databricks). Manage data integration, ETL/ELT processes, and optimize performance using SQL, Python, and Azure cloud services.
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.
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…
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…
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded…
Senior Data Engineer builds and maintains cloud-native data pipelines and ELT processes on Google Cloud Platform, primarily using BigQuery, Python, and Terraform for a German e-commerce marketplace.
Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business…
Build and optimize scalable data pipelines and cloud-native architectures on AWS to power analytics and reporting for an education platform used by tens of thousands of creators.
RESPEC is seeking an experienced, strategic Data Product Manager to champion a major state enterprise modernization initiative supporting the Minnesota Department of Information Technology Services (MNIT) and the…
Magna Legal Services is a trusted nationwide partner to law firms, corporations, insurance carriers, and government agencies, delivering comprehensive legal support at every stage of a case. From court reporting and…
JPMorganChase is seeking a Lead Data Engineer for their International Consumer Bank (Chase UK) in London, UK. This full-time role is ideal for experienced data professionals who are already UK-based with existing…
Senior Data Engineer to rebuild a BigQuery data warehouse, lead data migration, and build ETL/ELT pipelines using Python, SQL, and GCP/AWS. This role offers ownership and technical influence in a growing company.
This role involves building a modern Azure data platform, designing and implementing ETL/ELT pipelines, and optimizing data models for a healthcare provider. Key technologies include Azure data engineering tools, SQL, and CI/CD practices.
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