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Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Build and maintain a GDPR-compliant data platform using Python/TypeScript, Flask, React, and PostgreSQL to power a privacy-aware healthcare ecosystem.
Implement encryption, data loss prevention (DLP), and access controls across on-prem and cloud systems to secure data at rest, in transit, and in use.
Lead the data team and architect scalable pipelines for Yuno’s cross-border payments platform, ensuring data quality, observability, and governance while mentoring engineers.
Design and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Designs and maintains EU data pipelines for a mobility company, integrating sales, telematics, and market data while ensuring GDPR compliance and optimizing ETL/ELT processes.
Design and maintain encryption, DLP, and access controls to protect data across cloud and on-prem systems, ensuring compliance with GDPR and ISO 27001.
Build and maintain Java-based data pipelines and APIs on GCP to power open-banking analytics and billing for fintech infrastructure.
Senior Manager Data Engineer designs and maintains scalable data pipelines and warehouses for a global healthcare company, integrating SAP, Salesforce, and cloud platforms while ensuring data quality and governance.
Senior Manager Data Engineer builds and maintains scalable data pipelines and warehouses for a global healthcare company, integrating SAP, Salesforce, and cloud platforms.
Build and maintain AI-powered data pipelines for cardiovascular health products, ensuring scalable, compliant data infrastructure for a healthtech startup.
Build and optimize T-SQL ETL pipelines and Power BI dashboards to deliver data-driven insights for a fintech company in Madrid.
Designs and maintains data pipelines that integrate hospital systems, EMRs, and analytics platforms, ensuring medical-data quality, security, and regulatory compliance while collaborating with clinical and technical teams.
Senior Data Engineer builds and maintains secure, scalable data pipelines for AI-driven ECG analysis in a healthtech startup, ensuring data quality and regulatory compliance.
Lead the design and implementation of a scalable data platform (Salesforce Data 360) and data lake, integrating ERP, CRM, and BI tools while ensuring governance and compliance.
Build and evolve a global data platform using Microsoft Fabric, lakehouse architecture, and Azure, designing scalable pipelines and reusable data models for analytics and AI.
Designs and maintains AI-augmented data extraction pipelines using Pydantic, Scrapy, and LLM agents to autonomously scrape and validate structured data from websites while ensuring compliance and reusability.
Build and maintain SeQura’s data pipelines and infrastructure, transforming raw payment data into reliable analytics tools for teams across the fintech.
Build and maintain a Kotlin backend and React/TypeScript frontend for a European fintech’s corporate card platform, using AI-native engineering practices and AWS/GCP infrastructure.
Build and maintain Kotlin backend and React/TypeScript frontend for fintech clients, applying AI-native delivery practices in an AWS environment.
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