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Procter & Gamble ищет инженера AI/ML для разработки, интеграции и масштабирования алгоритмических продуктов. Команда работает с данными, моделями и инфраструктурой, применяя подходы DataOps/MLOps. Задачи включают…
Databricks Community of Practice – Poland We design and build modern data products and advanced GenAI solutions powered by Databricks. Join our team in Warsaw, Kraków, Wrocław, Łódź, and Gdańsk. Responsibilities Design…
Dans le cadre d'une mission réalisée pour l'un de nos clients majeurs du secteur bancaire , basé à Nantes , nous recherchons un Ingénieur Sécurité Transverse / Durcissement . Vous intégrerez une équipe…
Required Qualifications to be successful for both roles (Senior/Lead profiles): Technical Skills: Strong experience in end-to-end data architecture and design, including ingestion, modeling, storage, and orchestration…
The person in this role will work with project teams developing a modern data platform in a cloud environment. They will work in an international environment, with the focus on the architecture of cloud-based Big Data…
Mid Data Engineer Location Scope Contract Salary Why Join Us At Cloudfide, you'll work where data truly has impact, scale, and purpose. We design and deliver advanced Big Data and cloud-native data platforms for…
Data engineer at Grupo Mayoral (children's fashion retail), joining the Data Team within the Finance Department. Day to day: designing and maintaining data solutions on Azure, Databricks and Microsoft Fabric, driving DataOps in production, and supporting the business with generative AI and FinOps.
#tejiendohistoriasdeéxito En Grupo Mayoral, la moda es nuestra pasión, representada en nuestras cuatro marcas: Mayoral, Abel & Lula, Boston y BRIA. Somos una compañía dinámica, en constante evolución y con un firme…
Senior data engineering lead at Omnicom Media's London team owning and extending a config-driven data platform (DMI) — building ELT pipelines from Cloud Function ingestion into BigQuery with dbt transformations. Mentors data engineers, drives DataOps, and partners with analysts/BI across multiple clients; in-office 3 days a week.
Leads a data engineering team owning Omnicom Media's config-driven data platform (DMI), which ingests, transforms, and delivers paid media data from 26+ ad platforms. Day to day: building dbt ELT pipelines into BigQuery, managing GCP infrastructure via Terraform, developing Python CLI tooling, and mentoring engineers on DataOps best practices.
Job Description Role Summary The Data Engineer designs, builds, and operates the ingestion, transformation, and Lakehouse solutions that power Masco's enterprise POS and adjacent commercial data. This role delivers…
We are seeking an experienced Senior Databricks / Snowflake Data Architect to join the BestX engineering team. In this role, you will lead the design and evolution of BestX's next-generation cloud-native data…
DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in…
It's fun to work in a company where people truly BELIEVE in what they're doing! Job Description: Na Ingram Micro, conectamos pessoas, tecnologia e oportunidades para transformar negócios em escala global. Somos…
WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From…
Senior Consultant (Data Architect) at Sia in Brussels who leads client engagements, designing scalable data pipelines and architectures on cloud platforms (commonly Databricks, Snowflake, Azure) while mentoring junior consultants and driving business development.
- Develop end-to-end data pipelines (ingestion, transformation, modeling, exposure) and contribute to the implementation of visualizations in Power BI or Databricks SQL. - Continuously improve the SOCOTEC Lakehouse,…
Experienced Data Engineer at EY Advisory who designs, builds, and manages reliable and secure data pipelines in an international context, working with data architects, data scientists, and business stakeholders. Core work includes data modeling/quality standards, DataOps, CI/CD, and cloud platform decisions across AWS, Azure, and GCP.
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