21 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 and implement scalable cloud-native data architectures using MS Fabric or Databricks for enterprise clients. Manage the full data lifecycle including ETL/ELT pipelines, data modeling, and performance optimization while collaborating with stakeholders.
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Design, build, and optimize ETL/ELT pipelines that turn customer and internal data into actionable datasets, and partner with Markets and Product teams on reporting tools and dashboards. Build and maintain data lakes and feature stores that support the ML Engineering team’s machine learning solutions for subrogation.
Design and implement scalable, cloud-native data architectures using Databricks or MS Fabric. Collaborate with stakeholders to develop ETL/ELT pipelines, data models, and data governance solutions while providing strategic consulting.
Design, develop, and maintain squad-specific data architectures and pipelines while supporting business objectives through complex technical solutions. You will also mentor team members, define data standards, and contribute to the evaluation of emerging data engineering tools.
Design, develop, and maintain squad-specific data architectures and pipelines while supporting business objectives through data products. Mentor team members on data standards and contribute to the continuous improvement of analytical engineering practices.
Design, develop, and maintain squad-specific data architectures and pipelines while solving complex technical data challenges. Develop data products for analytics and ML teams while mentoring professionals on data standards and best practices.
You will support the setup, maintenance, and monitoring of mobile app marketing tracking systems and data pipelines. Additionally, you will assist in troubleshooting data integration issues and contribute to dashboard creation for campaign reporting.
You will support the setup, maintenance, and monitoring of mobile app marketing tracking systems and data pipelines. Additionally, you will assist in troubleshooting data integration issues and contribute to dashboard visualization to support data-driven decision-making.
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.
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.
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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.
You will own the architectural execution and hands-on delivery of high-throughput, asynchronous event-streaming infrastructure and hybrid data pipelines. This involves managing multi-cloud environments using declarative code and ensuring robust schema governance and telemetry.
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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