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Data Engineer building and scaling the data platform behind Nebius/Tavily's agent-native search product — designing medallion-style warehouse models, building batch and streaming pipelines, and delivering datasets for ML, analytics, and business ops using Snowflake/BigQuery, Airflow, dbt, Python, SQL, and Kafka.
Overview Are you passionate about helping government agencies unlock the value of their data and accelerate AI transformation responsibly? As a Cloud & AI - Data Solution Engineer, you will serve as a trusted…
Join our team as a Data Engineer! Yes, you can! That's our attitude towards our work, ambitions, ideas, and relationships. We at Luminor believe that anyone has the potential to achieve big things and encourage…
Develops and maintains cloud-native backend services on AWS using Node.js, focusing on scalable APIs and system reliability.
Data Engineering Consultant designing scalable cloud data pipelines and solutions for clients using Snowflake, Databricks, AWS, Azure, and other modern data platforms, while engaging with stakeholders and contributing to internal initiatives.
Hybrid • 2 days onsite (London City office) Overview We’re looking for a talented Data Engineer to join a well-known Broker that designs, builds, and delivers robust, scalable data solutions. You’ll collaborate across…
The goal of this project is to develop a web application on top of aggregated enterprise data. The application may also need to integrate with Power BI dashboards, depending on final project requirements and technical…
Design and implement ETL solutions and Data Warehousing/BI projects using Snowflake, SQL, and cloud platforms. This hybrid role involves translating business requirements into technical solutions for clients and integrating AI/LLMs where beneficial.
Design ETL pipelines, data warehousing, and BI projects while collaborating with stakeholders to translate business needs into solutions. Involves integrating AI/LLMs into data-driven projects in a hybrid role.
Votre équipe Vous rejoignez la Business Unit AI , une communauté d’environ 200 consultant.e.s IA & Data qui accompagnent les organisations de bout en bout : Stratégie IA et feuille de route Identification et…
Purpose of Position The Data Analytics Engineer will be responsible for designing, building, and maintaining scalable analytics data solutions that support CASETiFY’s business intelligence, KPI reporting, dashboarding,…
Job Description Design, develop, maintain, and optimize scalable data pipelines and integration workflows across CASETiFY’s core business systems and data platforms. Build and support data ingestion, transformation,…
Lead and manage a team of data engineers building platform and data architecture for BI and data science solutions, with hands-on work in Snowflake, Databricks, dbt, Airflow, and Python.
Sophilabs is seeking a Data Warehouse Engineer to design, build and maintain data warehouses, enabling clients to manage and analyze large datasets with robust data models. You will work with Amazon Redshift, MariaDB,…
Data Engineer for a travel assistance client maintaining ETL pipelines and data models using SSIS and MS SQL Server. The role involves optimizing queries, supporting data services, and collaborating with analytics teams.
The Data Engineer designs and maintains scalable data solutions, pipelines, and architecture for enterprise reporting and BI using SQL, ETL/ELT, data warehousing, and cloud platforms.
Design and build scalable data pipelines (ETL/ELT) in GCP and on-premise to support analytics and AI. Responsibilities include migration, data modeling, and governance using BigQuery, Dataflow, and SQL.
JOB DESCRIPTION Are you a student looking for an exciting opportunity that is full of meaningful, diverse, and ambitious assignments? Join Canadian Natural, where we strive to provide opportunities based on your…
The SalesOps Associate provides front-line support to our rapidly-growing sales organization, including answering inquiries, maintaining data health, performing research and working on tasks that enable Account…
Leads the strategy and modernization of MongoDB's enterprise data landscape, designing solutions to integrate data lakes and warehouses across multi-cloud platforms while enabling AI-driven self-service access and governance.
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