Design, build, and maintain scalable data pipelines and processing solutions using Azure Synapse Analytics. Collaborate with UK-based stakeholders to translate business requirements into high-quality technical data architectures.
Remote Data Engineer Jobs (2,742)
Search = Data Engineer
Senior Data Engineer with Google Cloud (GCP) (m/f/d)
Deutsche Telekom IT Solutions Slovakia
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Full Time
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8 Weeks Ago
Deutsche Telekom IT Solutions Slovakia
Design, implement, and maintain a future-proof data warehouse landscape by migrating current architecture to Google Cloud Platform. Analyze complex data elements and oversee junior data engineers to ensure alignment with business objectives.
Build an end-to-end data warehouse on Microsoft Fabric using a medallion architecture and Kimball-style dimensional modeling. Develop certified Power BI semantic models and integrate AI agents and Copilot functionality.
Lead the design, development, and maintenance of scalable Spark applications while enforcing coding standards and best practices. Provide technical leadership through mentoring, code reviews, and regular communication with the client.
Design and build scalable automation and self-service experiences to streamline customer onboarding and operational workflows. Apply AI technologies and systems thinking to reduce operational complexity and improve growth-related process efficiency.
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AI Data Engineer (m/w/d)
Woodmark Consulting GmbH
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Full Time
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8 Weeks Ago
Woodmark Consulting GmbH
Develop AI/ML models and scalable data pipelines while designing production-ready AI architectures integrated into cloud environments. Take technical responsibility for projects, managing architecture design and coordinating with stakeholders to ensure technical excellence.
Data Engineer - Latin America, Remote
Bluelight Consulting
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Full Time
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9 Weeks Ago
Bluelight Consulting
Develop and maintain data models and pipelines to support core applications and business intelligence reporting. Monitor pipeline performance, ensure data quality, and collaborate with cross-functional teams to foster data-driven decision-making.
Build the integration layer between the Karman platform and diverse customer data center software environments through custom API connectors and test frameworks. Collaborate with customer operations teams to translate technical requirements into actionable integration designs and scalable playbooks.
Architect and lead operational data flows and the analytical ecosystem, focusing on real-time data streams and scalable ELT patterns. Mentor a high-performing engineering team while partnering with leadership to translate technical roadmaps into business value.
Design, build, and operationalize complex data solutions and pipelines to support AI, Machine Learning, and business intelligence. Collaborate with internal teams and customers to provide technical guidance and ensure data quality and governance.
Senior Data Engineer (ADB + Python)
Exadel Inc (Website)
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Full Time
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9 Weeks Ago
Exadel Inc (Website)
Lead the design, development, and maintenance of scalable Spark applications while enforcing coding standards and best practices. Provide technical leadership through mentoring, code reviews, and regular communication with the client.
Lead the design, development, and maintenance of scalable Spark applications while enforcing coding standards and best practices. Provide technical leadership through code reviews, mentoring, and regular communication with the client.
Design and maintain scalable ELT pipelines and production-grade data models on Azure and Databricks. Lead engineering quality, mentor the analytics team, and prepare the data platform for AI/ML and agentic readiness.
Senior/ Lead Data Engineer with industrial knowledge (Freelancer)
Spyrosoft
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Full Time
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9 Weeks Ago
Spyrosoft
Design and implement ingestion and transformation pipelines from industrial source systems into clean, auditable datasets. Support presales and consulting teams by developing PoC components and identifying business value in industrial data.
Design, develop, and scale core data infrastructure and ETL/ELT workflows using GCP, Spark, and Databricks. Implement CDC pipelines and enforce data governance standards to ensure trustworthy data access across the organization.
Design instrumentation and control systems for data centers, including conceptual designs, detailed site designs, and retrofits. Coordinate with multidisciplinary teams and vendors to ensure Building Management Systems are properly designed and constructed.
Manager, Data Engineer (Remote)
Arch Insurance Group Inc.
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Full Time
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9 Weeks Ago
Arch Insurance Group Inc.
Lead the end-to-end delivery of complex data pipelines and AI-ready data assets to support Claims Analytics. Manage and coach a team of data engineers while partnering with stakeholders to align priorities and scalable data solutions.
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Develop ETL processes using various AWS services including EMR, Step Functions, and Lambda. Resolve production incidents related to ETL components, focusing on scalability, memory failures, and timeouts.
Lead the design and execution of a new, high-scale enterprise data platform and storage architecture to replace legacy systems. Build production-grade code and mentor a team of data engineers to ensure metrics reliability and power AI-driven products.
Coach and mentor learners through 1:1 sessions and workshops to develop their data engineering skills. Guide learners in designing scalable, secure data solutions and connecting theoretical concepts to real-world workplace practice.
Lead a small team in developing Python services for data integration and managing Airflow processes. Oversee the creation of SQL DWH and support the migration of data pipelines to Google Cloud Platform.
Lead the architectural design and modernization of the data platform for the MAX Digital SaaS product, focusing on SQL Server and MongoDB systems. Drive performance optimization, define scalable data pipeline patterns, and mentor junior engineers to ensure operational resilience.
Design and maintain scalable ETL/ELT data pipelines and orchestration workflows using Python and DBT. Optimize the Elastic Hierarchy data framework and support data operations across SaaS and on-premise hybrid environments.
Design and develop software solutions to integrate real-time measurement data from IoT devices and grid operator APIs into the Intelligent Grid Platform. Own the full integration lifecycle, including data ingestion, transformation, and optimization of streaming and batch workloads.
Build and scale core data infrastructure, pipelines, and services to power products and analytics. Design and implement a robust data warehouse and curated data sets to support operational and research use cases.
The Founding Data Engineer will build and own the company's data foundations, including the warehouse, core models, and event taxonomy. They will deliver trusted data products to power analytics, AI features, and in-app reporting for various internal teams.
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Design, build, and maintain scalable data pipelines and cloud-based architectures to support federal government programs. Collaborate with cross-functional teams to integrate diverse data sources and ensure compliance with federal security requirements.
Design, develop, and maintain modern data pipelines and Lakehouse architectures using Azure Databricks and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
Design and develop modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory. Integrate diverse data sources into analytical layers while evolving existing SQL Server environments toward scalable cloud architectures.
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