Data Engineer
You will design and optimize data pipelines to transform raw data into valuable insights. Additionally, you will tackle complex data problems and build scalable, production-grade data systems.
15 Data Engineer jobs in Slovakia available for remote work from home. Apply for positions such as Data Engineer, Senior Data Engineer, Data Engineer (Marketing Systems) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design and optimize data pipelines to transform raw data into valuable insights. Additionally, you will tackle complex data problems and build scalable, production-grade data systems.
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.
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.
Lead the design, construction, and maintenance of scalable data pipelines and infrastructure on GCP. Mentor a team of data engineers while collaborating with stakeholders to deliver reliable data products from the ground up.
Manage and oversee the entire data engineering process, from acquisition to analysis, while designing and maintaining scalable data infrastructure. Lead and mentor a team of data engineers to ensure the successful delivery of projects and technical direction.
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Develop, maintain, and migrate large-scale data architectures and warehouses from current systems to Google Cloud Platform. Collaborate with B2B Analytics teams to implement data governance and oversee the activities of junior data engineers.
Develop and maintain scalable data architectures, processing platforms, and database structures to support business analytics. Oversee junior data engineers and collaborate with Data and Analytics teams to ensure effective data governance.
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.
The role involves analyzing complex data elements and systems to contribute to data models, and designing, building, implementing, and maintaining database structures to support business needs, including integrating vendor solutions. The engineer will also develop scalable data processing platforms and oversee junior data engineers.
The Senior Data Engineer will develop, construct, test, and maintain data architectures, including databases and large-scale processing systems, ensuring they support business requirements. This role involves analyzing complex data elements, designing database structures, managing data tool lifecycles, and overseeing junior engineers.
The senior data engineer develops, constructs, tests, and maintains data architectures like databases and large-scale processing systems, ensuring they meet business requirements and collaborating with Data and Analytics teams to gather technical requirements for data governance. Responsibilities include designing database structures, managing data lifecycle, performing data manipulation, and developing scalable data processing platforms.
The role involves designing, developing, and maintaining robust and scalable data pipelines using ETL/ELT processes. Responsibilities also include building and optimizing data architectures and models while ensuring high data quality and reliability across systems.
Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Design, build, and operate robust data solutions and production pipelines on Palantir Foundry. Ensure platform reliability through monitoring, troubleshooting, and implementing automation to prevent recurring issues.
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.
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