Data scientist állások, munkák it programozás, fejlesztés területen

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

Computational Neuroscientist / Electrophysiology Data Analysis Engineer At MaxWell Biosystems, we innovate the future of electrophysiology by developing cutting-edge technologies for neural activity recording. Our platform includes the software MaxLab Live, a custom-designed integrated circuit, and...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Requirements elicitation: Collaborate with business stakeholders to gather, challenge and document underlying business needs, translating these into scope, objectives and business goals for the Mortgage product...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

Prepare Business Concept and Business Strategy Review, analyze and evaluate business systems, user requirements and processes Define business goals and KPIs Cooperation with developer and testing team, participate in User Acceptance Testing Support Project management with delivering relevant...

• Become familiar with our technology stack and learn everything about the high-level job market and our job classification framework.
• Research and select the most high-level jobs and classify them according to our key criteria.

Prepare Business Concept and Business Strategy Review, analyze and evaluate business systems, user requirements and processes Define business goals and KPIs Cooperation with developer and testing team, participate in User Acceptance Testing Support Project management with delivering relevant...

• Analyze and optimize business processes, promoting best practices in the domain Production
• Coordinate initiatives related to creating conceptional (pre-)studies to recommend a comprehensive way forward for reaching business goals

• Designing Client Lifecycle workflows for various Group business lines
• Conducting functional and technical design, acceptance tests, and projects reporting
• Deploying projects internally and coordinating teams
• Regular monitoring and staying attentive to digital opportunities and impacts

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
• Integration into our team - not just "the student".

• Define business requirements and work effectively with stakeholders;
• Respond to IT support tickets;
• Build internal and external relationships effectively;
• Provide business analysis, outlining problems, opportunities and solutions for the business;

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• Az ügyfél üzleti működésének mélyreható megismerése és megértése
• Az ügyfél támogatása az üzleti problémák beazonosításában és pontos megfogalmazásában
• Alternatív megoldási irányok és koncepciók kidolgozása, amelyek illeszkednek a bevált szakmai gyakorlatokhoz és a cég portfóliójához

Own and operationalize privacy-by-design and privacy-by-default across all stages of the product development lifecycle, from concept and architecture to development, deployment, and maintenance....