20 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.
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.
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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 managing data collection and ingestion pipelines to support large-scale AI model training. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap.
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. Partner with product teams to develop reporting tools and maintain data lakes for ML engineering 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.
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.
The role involves designing and implementing modern data architectures and lakehouse solutions using platforms like Databricks, Snowflake, Azure, or AWS. Responsibilities also include providing technical leadership, mentoring project teams, and ensuring code quality through reviews.
The Senior Data Engineer will be responsible for designing and implementing modern data architectures and lakehouse solutions using platforms like Databricks, Snowflake, Azure, or AWS. This role also involves providing technical leadership, mentoring project teams, and ensuring high code quality through reviews.
Own and operate the AI-focused Data Loss Prevention (DLP) platforms to secure enterprise AI adoption and reduce data leakage risks. Automate security workflows and implement AI guardrails across cloud, endpoint, and network environments.
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Own and operate the AI Data Loss Prevention (DLP) platform to manage AI-related data risks and prevent leakage. Engineer security controls across cloud, network, and endpoint environments while automating workflows using Python and Azure tools.
You will design and develop IT platforms and architectures for a centralized Lakehouse on Azure, utilizing cutting-edge data technologies. Additionally, you will support engineering teams in platform development and ensure the security and integrity of business-critical data.
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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