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Staff Data Engineer leading pipeline architecture and data infrastructure for a commodity trading platform, using Flink/Spark, Kafka, and cloud (AWS/GCP) with Kotlin, Python, and TypeScript.
Senior Data Engineer designing and maintaining scalable data solutions using Big Data and Cloud technologies like Databricks, Spark, Airflow, and Iceberg.
The Senior Data Engineer will design and develop APIs using Python and FastAPI to expose data from the Gold Layer to internal consumers. The role involves working within an AI & Data team to build scalable data integration solutions in a hybrid environment in Málaga.
Senior Data Engineer owning product data pipelines and migrating the analytics stack (Amplitude, Segment, Snowflake, Athena, QuickSight) to a unified Databricks platform, using Python and SQL on AWS.
Design and implement enterprise data platforms spanning ingestion, storage, transformation, and serving, with hands-on data engineering, governance (PDPA), and pipeline development to support analytics and AI/ML workloads.
Bluetab, an IBM Company. certificados ¡Great Place to Work & Best Work to Place! como una de las mejores compañías para trabajar. Es posible que un gran número de candidatos se presenten a este puesto, así que…
Design and build Java-based backend services and cloud infrastructure for Starburst's unified control plane, spanning multi-tenant SaaS and customer-operated deployments across AWS, Azure, and GCP.
Designs and implements cloud-based data platforms, analytics, and applications for clients using Snowflake, BI tools, and full-stack development, while advising on business transformation.
ESPRIMO Srl, società di consulenza informatica che opera dal 2002 su tutto il territorio nazionale ed internazionale, a supporto delle imprese, si colloca nel settore dell’Information Technology proponendosi come…
Du hast ausgeprägte Erfahrung im Data- oder Software Engineering über mindestens vier Jahre. Du verfügst über fundierte Kenntnisse in der Python-Entwicklung mit Fokus auf saubere Software-Prinzipien. JRE-Kenntnisse und…
The Data Platform Engineer will manage and develop the company's central Kubernetes, Lakehouse, and event platforms using technologies like Apache Spark, Kafka, and Terraform. The role focuses on automating infrastructure and supporting internal users within a large insurance group.
Design and lead the migration of Stripe's data lake to Apache Iceberg, defining storage abstractions, access controls, and compliance controls for petabyte-scale data infrastructure used across the company.
The Principal Software Engineer will lead the evolution of the data platform, focusing on Apache Spark, Iceberg, and streaming infrastructure to support AI/ML and analytics. This role involves designing scalable data abstractions and mentoring engineers to enable data-driven product development for restaurant customers.
Design and build a scalable, low-latency data platform for a global brokerage infrastructure provider, processing hundreds of millions of events daily using GCP, Kubernetes, and open-source tools.
Solutions Architect Position Summary The Data & AI Solutions Architect leads the technical direction of Society Data Store (SDS) and AI capabilities. This hands-on role delivers scalable, governed data and AI solutions…
Build and maintain CI/CD pipelines and developer tooling to keep Dremio’s distributed engineering systems fast and reliable across AWS, GCP, and Azure.
Builds and optimizes a high-performance, scalable data lakehouse architecture with sub-minute latency, managing CDC pipelines, distributed query engines, and AI-driven workflows to support fintech payments and user analytics.
Senior Data Engineer builds scalable data platforms and pipelines using Python, PySpark and SQL to enable analytics and AI at VodafoneZiggo.
The Senior Software Engineer will design and build scalable, cloud-native infrastructure to distribute index data to global financial clients. The role emphasizes an AI-first development approach using technologies like TypeScript, Python, AWS, and PostgreSQL.
Lead the design and implementation of enterprise-grade Generative AI and Agentic AI solutions—spanning RAG, LLMs, and AI agents—using frameworks like LangChain, LangGraph, vector databases, and cloud-native infrastructure on a 12-month contract.
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