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The Data Architect will design and manage Salesforce data models, enterprise data architecture, and integration strategies between Salesforce and external systems. This role involves overseeing data warehousing and staging database solutions to support enterprise data needs.
ABOUT SINGLESTORE & THE TEAM SingleStore is the Intelligence Platform powering real-time data, analytics, and AI experiences at enterprise scale. Internally, we practice what we preach through our AI &…
Data Engineer at SIXT building and maintaining the central Data Platform and Data Catalogue (SIXT Data Shop), processing tens of millions of daily events using AWS (Redshift, S3, Glue, Lambda), dbt, Apache Airflow, Python, and SQL.
Data Architect Executive Management Location: Indore Ascentt is building cutting-edge data analytics & AI/ML solutions for global manufacturing leaders. We turn enterprise data into real-time decisions using…
The Senior Finance Data Engineer will modernize and simplify existing SAP BW-based reporting environments while leading the migration toward SAP Datasphere. This role involves reverse-engineering legacy systems, designing robust data models, and applying technical expertise to ensure scalable finance data platform architecture.
What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial…
**Role Purpose** We are seeking a highly experienced Principal Software Engineer to provide technical leadership across our technology function, driving the design, delivery, and continuous improvement of enterprise…
Senior Test Engineer validates ETL/data pipelines in financial services, ensuring accurate data flow from source systems to warehouses and reports using SQL, ETL tools, and test frameworks.
Design the target architecture of a central data platform for a public transport association, working with SQL, ETL, and data warehouse technologies to support automatic passenger counting systems and central data management.
Staff DevOps Engineer owning end-to-end infrastructure for AI systems in heavy industry — designing Kubernetes platforms, IaC, CI/CD pipelines, and observability stacks across cloud and edge/on-prem environments.
Designs and maintains scalable data pipelines and warehouses, building ETL processes in cloud/on-prem environments to support analytics and business intelligence.
As a Data Engineer at Sopra Steria, you will build and optimize modern data platforms using Microsoft Fabric, Azure Synapse, and Databricks for various clients. You will work in teams to manage the full analysis chain, from data collection and modeling to visualization and decision support.
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible…
Description Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization. Perform data extraction, cleaning, transformation, and flow. Web…
Build and maintain data pipelines, warehouses, and reporting systems for a GovTech platform serving government agencies and residents.
The Sales Data Analyst will support the Business Development function by tracking and analyzing key sales metrics, managing data marts, and providing actionable insights to stakeholders. The role requires advanced SQL, data visualization, and data pipeline automation skills to drive data-informed decision-making.
Mid-level Data Engineer leading data platform evolution, BI reporting, and process automation, working closely with the CIO on both data initiatives and web application improvements using SQL Server, MySQL, Elasticsearch, Power BI, and Power Automate.
Builds and maintains data pipelines (Airflow, ETL) for a pharma loyalty-tech firm, integrating real-time pharmacy sales data with AI/ML to drive predictive insights and personalized promotions.
Builds and maintains data pipelines, architectures (Data Lakes/Warehouses), and ETL processes to ensure reliable, clean data delivery for decision-making, collaborating with data scientists and analysts.
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