12 Data Engineer jobs in Denmark available for remote work from home. Apply for positions such as Software Engineer, Data Infrastructure & Acquisition - Aarhus, Denmark, Senior Data Engineer, Software Engineer, Data Infrastructure & Acquisition - Copenhagen, Denmark and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role involves managing data collection operations to support model training and operating cloud infrastructure for ingestion pipelines. You will collaborate with scientists and leadership to optimize data quality and scale while defining the dataset roadmap.
You will architect and maintain scalable data infrastructure on AWS while designing and managing robust ETL pipelines. Additionally, you will collaborate with cross-functional teams to ensure data quality, security, and performance across the company's data lake.
The role involves managing data collection and ingestion pipelines to support large-scale AI model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for new products.
Lead and review the electrical design of hyperscale and mission-critical data centres across all project phases while managing multidisciplinary external consultants. Oversee utility coordination, permitting, and integrated systems testing to ensure project delivery meets design intent and operational requirements.
You will own and evolve the Kubernetes-based infrastructure on Google Cloud while building and operating reliable pipelines for market data ingestion. Additionally, you will manage deployment, monitoring, and incident response for live trading systems to ensure platform stability.
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The role involves designing and optimizing data flows within a Fabric Lakehouse environment, focusing on low-latency processing and multi-stack integration. Responsibilities include implementing data design patterns like SCD and managing transaction logs for Delta Lake.
Develop and maintain scalable data pipelines and manage solutions within the Microsoft Fabric Lakehouse environment. Collaborate with Data & AI teams to optimize cloud-based data solutions and ensure governance standards.
Develop and maintain robust data pipelines and analytical data models using SSIS, SSAS, and SQL Server. Build reporting solutions with Power BI and SSRS while collaborating with business teams to translate requirements into technical solutions.
Build and maintain resilient streaming and batch data pipelines to ingest, normalize, and distribute market and trading data. Develop self-serve tooling and data governance frameworks to ensure high-quality, observable, and performant data products across the organization.
Lead the architecture and migration to a governed Microsoft Fabric platform while ensuring the reliability of BI and semantic models. Establish data engineering standards and mentor team members to translate business needs into technical delivery.
You will lead the design, architecture, and implementation of high-performance data center network solutions for AI and enterprise environments. Additionally, you will collaborate with cross-functional teams to automate network operations and provide expert guidance throughout the customer engagement lifecycle.
Lead the architecture and evolution of the Microsoft Fabric platform to create a trusted source of truth for business metrics. Build production-grade data pipelines and implement AI-driven automation to enhance reporting and business insights.
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