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Senior Data Engineer - Databricks (m/f/*)
Build and optimize scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog to power analytics and ML workflows for enterprise clients.
Full Stack Software Engineer- Java
Build and scale real-time cloud communications backends in Java, integrating AI tools to improve APIs, media control, and distributed systems for a global platform.
Data Engineer
Design and build scalable data pipelines and models on Cognite Data Fusion, integrating industrial data with Python, SQL, and cloud services to power AI-driven decision-making for energy, manufacturing, and utilities.
Distributed Computing DevOps Engineer (IT-CE-LCG-2026-144-LD)
Design and maintain the distributed computing infrastructure that powers CERN’s particle-physics experiments, using DevOps, Kubernetes, and AI-driven automation to ensure global data processing and transfer.
Distributed Computing DevOps Engineer (IT-CE-LCG-2026-144-LD)
Build and automate distributed computing infrastructure for CERN’s particle physics experiments, using DevOps tools like Kubernetes, Prometheus, and Python to ensure global data processing and transfer services.
Hybrid Global Distributed Computing DevOps Engineer
Engineer global distributed computing infrastructure for CERN’s HL-LHC experiments, automating and improving data-transfer services with DevOps and AI.
HL-LHC Distributed Computing DevOps Engineer
Engineer distributed computing infrastructure for CERN’s HL-LHC, ensuring global data processing reliability and integrating AI-driven automation across international sites.
Senior Software Engineer, Full Stack - Google Careers
Builds and maintains large-scale systems at Google, working across the full stack with C++, Java, and TypeScript to deliver next-gen products like YouTube.
DevOps Engineer for Data Management (IT-SD-DMS-2026-196-GRAE)
Build and maintain the Rucio data-management platform that federates exabyte-scale scientific datasets across global supercomputers and AI factories, using Python, Kubernetes and open-source workflows.
Senior Software Engineer - Large-Scale Data Pipelines
Builds large-scale data pipelines and distributed systems to power Google Shopping’s AI-driven merchant tools and business discovery features.
Senior Software Engineer, Full Stack
Build and maintain large-scale systems at Google, working across full-stack development with Java, Python, Go, or C++ backends and JavaScript/TypeScript frontends, while contributing to AI/ML initiatives.
Senior Backend Developer
Design and build scalable backend systems using TypeScript/NestJS or PHP/Laravel on Azure, focusing on microservices, APIs, and database optimization.
AWS Data & AI Engineer at Noventiq WLL
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Senior Software Engineer Build Scalable Scientific Data Tools
Build scalable scientific data tools for drug discovery, focusing on efficient storage, processing, and analysis of chemical datasets using Python, cloud services, and distributed computing.
Backend Engineer - API & Data Modeling (Remote)
Build and scale backend APIs and data models for an automated TV advertising platform, using Python, SQL, and modern data stacks to support analytics and integrations.
Senior Software Engineer, Data & Metadata Federation
Builds core data and metadata infrastructure at Google Cloud, designing scalable systems to unify and federate information across services.
Senior Data Scientist Engineering Maps TTI (Maps) Lodz, Poland
Build AI-powered location intelligence models and APIs that turn TomTom’s map and traffic data into actionable insights for enterprises, governments, and partners.
Senior Data Engineer / Data Scientist (AI & LLM Solutions)
Build scalable data pipelines and AI/ML models for anti-financial crime at a UK bank, using Python, LLM frameworks, and distributed computing on GCP.
Senior Data Engineer (Knowledge graph)
Build and optimize scalable data pipelines, ETL processes, and cloud-based data architectures using Python/Java/Scala, Spark, Kafka, and cloud platforms (AWS/Azure) to support large-scale analytics and client projects.