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Y-Axis

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5 jobs
Y-Axis
6 views 6 days ago

Platform & DevOps Engineer

New RemoteMENAFull-time
United Arab Emirates

Senior DevOps/platform engineer who designs and runs large-scale, production-grade Azure cloud environments: building CI/CD pipelines, embedding security (DevSecOps), managing infrastructure as code (Terraform/Bicep/ARM), monitoring (Dynatrace, Prometheus, Grafana), and supporting Azure AI/ML infrastructure. Posting indicates remote/telecommute possible; no visa sponsorship.

Agile AI Automation Azure Azure DevOps +24 skills
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Y-Axis
4 views 6 days ago

Remote: Senior Azure DevOps & Platform Engineer

New MENASenior
United Arab Emirates

Y-Axis is hiring a Senior Azure DevOps & Platform Engineer in Dubai to design and manage large-scale, production-grade Azure cloud environments. Day to day: leading Azure DevOps pipelines and secure CI/CD, optimizing cost and performance, and integrating AI/ML platforms using IaC, microservices, and serverless architectures.

AI Automation Azure Azure DevOps CI/CD +6 skills
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Y-Axis
2 views last week

Senior Data Engineer – Lead Snowflake Platform

HybridUKLead
United Kingdom

A senior data engineer owning a UK charity's Snowflake platform: 70-80% hands-on building data pipelines and SQL data models, migrating legacy data, and integrating sources to make Snowflake the central source of truth. London hybrid with two days on-site per week.

Data Pipelines Data Quality Snowflake SQL
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Y-Axis
4 views last week

Senior Data Engineer

RemoteUKFull-timeSenior
United Kingdom

Senior Data Engineer joining a major UK charity to own its newly implemented Snowflake platform: building pipelines, SQL data models, integrating Salesforce and other sources, and establishing data quality and governance. ~70-80% hands-on, £62,000, London hybrid (2 days/week in office).

Cloud Data Modeling Data Pipelines Data Quality Data Warehousing +4 skills
62K – 62K £
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Y-Axis
7 views last week

Senior Data AI Engineer

RemoteEuropeFull-timeSenior
Netherlands

Data Scientist (Senior Data AI Engineer) at a media and marketing organization, embedded in an internal team to productionize machine learning models — building, deploying, and monitoring scalable ML systems with MLOps practices using Python, frameworks like TensorFlow/PyTorch, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).

AI Analytics AWS Azure CI/CD +18 skills
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