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Lead a team to design and industrialize scalable data platforms and AI solutions for large clients, from architecture to MLOps/LLMOps and agentic workflows.
Lead a team to design and deploy modern data architectures, MLOps pipelines, and GenAI solutions for enterprise clients, while managing projects and driving commercial growth.
Designs and evolves enterprise data architecture on cloud and lakehouse platforms, translating business and AI needs into robust data models, integration patterns, and governance controls.
Build resilient data pipelines and self-serve tooling for a crypto market maker, ingesting market, trading, and portfolio data to power desks, risk, finance, and AI agents.
Senior Data Engineer builds and modernizes scalable data pipelines and Lakehouse architectures using Databricks, AWS, and Elasticsearch to power cybersecurity analytics and AI-driven threat detection at SpyCloud.
Czym będziesz się zajmować? Responsibilities: Design, build and maintain scalable data pipeline architecture for order, delivery, customer, supplier and product data. Assemble complex datasets that meet functional and…
Design and implement scalable Microsoft Fabric and Azure data platforms for enterprise clients, guiding architecture, governance, and hands-on delivery of Lakehouse, Data Warehouse, and Real-Time Intelligence solutions.
Build and maintain Power BI dashboards and data models for clients across finance, media, healthcare, and other industries, using SQL, cloud platforms, and data visualization best practices.
Designs and implements scalable, cloud-native data platforms on AWS, focusing on data lakehouse architecture, CDC pipelines, and end-to-end data modeling for clients.
Lead a team building cloud-native data platforms on AWS and Databricks, designing scalable Spark/Scala pipelines and AI-enabled services to power global financial systems.
Lead a team building and scaling enterprise data platforms that power Citi’s AI, machine learning, and analytics, designing high-performance pipelines and feature stores for real-time and batch processing.
Design and build scalable data pipelines for a global bank using Python, PySpark, and Databricks on AWS/GCP, ensuring high performance, data quality, and regulatory compliance.
Designs and builds scalable data pipelines and platforms using Microsoft Fabric, Azure Data Factory, Python, PySpark, and SQL to enable analytics and AI for enterprise clients.
Build and maintain scalable data pipelines and infrastructure to power AI models for Singapore’s transport network, ensuring high-quality, real-time data from sensors and systems.
Project Manager to lead a firm-wide data and lakehouse replatforming initiative, modernizing core platforms and data capabilities using open-source technologies.
Designs and maintains scalable backend services, APIs, and data pipelines for healthcare clients using Node.js, Java, Python, and AWS, focusing on integrations, security, and cloud-native architectures.
Senior Software Engineer owning performance-critical paths in a large-scale data-processing platform, profiling and optimizing with Python, C/C++/Rust, PostgreSQL, and GPU/CUDA acceleration.
Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of…
Builds and optimizes data pipelines using Databricks, PySpark/Scala, and Azure cloud services to transform and govern enterprise data in a lakehouse architecture.
Build and maintain Dremio’s core platform services—telemetry, messaging, caching, and access control—using Java, Kubernetes, and Terraform to power scalable, self-service analytics and AI for global enterprises.
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