17 Data Engineer jobs in Hungary available for remote work from home. Apply for positions such as Data Engineer, Data Engineer, Data Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, develop, and maintain squad-specific data architectures and pipelines following ETL and data lake principles. Develop data products for analytics and ML engineers while mentoring other professionals on data standards.
Design and maintain squad-specific data architectures and pipelines following ETL and data lake principles. Develop data products for analytics and ML engineers while mentoring other data professionals on best practices.
Design, develop, and maintain squad-specific data architectures and pipelines following ETL and data lake principles. Develop data products for analytics and ML engineers while mentoring other data professionals on standards and best practices.
Design, develop, and maintain Databricks applications for capacity management and automate data integration processes. Collaborate with stakeholders to enhance Power BI dashboards and ensure high-quality data flows.
The role involves implementing and configuring the DX platform to measure the business value and impact of AI-assisted development tools. You will be responsible for integrating telemetry data, defining success metrics, and developing dashboards to support ROI analysis and scaling strategies.
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The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for AI products.
You will architect a new data backbone by transforming large-scale healthcare data into a unified, high-performing knowledge graph. Additionally, you will develop clinical inference engines and design data models using domain ontologies to ensure interoperability.
You will design and build consumable data assets on an AWS data platform while collaborating with product engineering teams to define data ownership and contracts. Additionally, you will onboard data from legacy warehouses and develop tooling to accelerate platform adoption.
You will provide hands-on support for Apache Airflow configuration, DAG development, and troubleshooting while advising customer teams on best practices. Additionally, you will collaborate with internal stakeholders to deliver technical guidance and ensure successful platform adoption and production onboarding.
The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.
The role involves building and optimizing modern data platforms and developing scalable data pipelines. It also focuses on supporting cloud-based analytics solutions within a dynamic international team.
Develop and optimize scalable data pipelines and warehouses to support electronic road-charging solutions. Collaborate with data scientists and analysts to ensure data quality, security, and high-performance analytics operations.
Design, build, and optimize ETL/ELT pipelines to transform data into actionable datasets for business strategy. Maintain data lakes and feature stores to support the ML Engineering team in developing subrogation solutions.
Design, build, and optimize ETL/ELT pipelines to transform data into actionable datasets. Partner with product teams to develop reporting tools and maintain data lakes for ML engineering 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.
Perform startup and commissioning of modular data center equipment while conducting on-site technical diagnostics and root cause analysis. Document test results, produce site reports, and provide operational training to customers.
Lead the technical delivery and operational reliability of domain-based data products within a unified data platform. Partner with business domain leads to translate priorities into scalable, reusable data engineering solutions.
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