Senior Data Engineer, CAST AI

Salary not provided

€6,500 – €9,000 gross p/m. Plus equity options

Snowflake

BigQuery

dbt

DevOps

Senior and Expert level

Remote from Europe

More information about location

Kubernetes automation platform

Be an early applicant

Kubernetes automation platform

201-500 employees

B2BArtificial IntelligenceEnterpriseSaaSCyber SecurityDevOpsCloud Computing

Be an early applicant

Salary not provided

€6,500 – €9,000 gross p/m. Plus equity options

Snowflake

BigQuery

dbt

DevOps

Senior and Expert level

Remote from Europe

More information about location

201-500 employees

B2BArtificial IntelligenceEnterpriseSaaSCyber SecurityDevOpsCloud Computing

Company mission

To pioneer a brighter future of cloud computing.

Job

Company

Role

Who you are

This is an opportunity for someone with strong data engineering expertise and a curiosity for Machine Learning and AI, who wants to take their skills to the next level
Strong software engineering and problem-solving skills
Experience with Data Warehouse technologies such as ClickHouse, Snowflake, or BigQuery
Proficiency with big data technologies and streaming platforms
Knowledge of DBT and feature store concepts in data engineering
Proven experience in data pipeline development for machine learning workflows
Knowledge of best DevOps practices, monitoring and logging
Experience in data security and compliance and governance
Excellent communication skills and a proactive, collaborative mindset
Strong English skills (written and spoken)

What the job involves

As a Data Engineer, you’ll design and optimize large-scale data pipelines, orchestrate big data workflows, and work with streaming technologies that power intelligent automation
Design, build, and scale cloud-native data pipelines leveraging orchestration frameworks and infrastructure-as-code for reproducibility and automation
Operate across batch and streaming ecosystems, integrating real-time data platforms with large-scale data storege and processing architectures
Engineer high-quality, discoverable datasets through modern data modeling, ensuring reliability, lineage tracking, and governance
Partner with ML/AI teams to productionize data for training and inference pipelines, enabling feature stores, online/offline parity, and model monitoring
Optimize cost, scalability, and performance in multi-cloud / hybrid environments, using modern query engines
Champion observability and reliability by implementing data SLAs, automated quality checks, anomaly detection, and self-healing pipelines
Drive innovation and experimentation by adopting new technologies to support advanced analytics and AI

Our take

Managing cloud deployments effectively to control costs has become a priority for organizations of all sizes. CAST AI drives cloud optimization and cost reduction by using AI and machine learning to analyze a company’s cloud environment to identify the resources required for maximum performance.

CAST AI’s platform supports all three major cloud service providers; Microsoft Azure, Google Cloud, and Amazon Web Services. When cloud providers have unused machines they are typically discounted by 60-70%, however, if AWS (for example) needs that machine back, they give little warning before reclaiming it. CAST AI is able to automatically detect this, and immediately replace it, meaning companies using its platform will never experience an outage of discounted machines.

As more enterprises embrace cloud technologies, CAST AI is a strong choice of provider as it provides customers with a unified, automated platform, making Infrastructure as a Service (IaaS) more efficient and budget-friendly. The company has seen considerable investment that will be spent on attracting new customers, as well as helping to expand the CAST AI range of products.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

51% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 5 rounds)

Apr 2025

$108m

SERIES C

Nov 2023

$35m

SERIES B

Total funding: $180.7m

Company HQ

Downtown Miami, Miami, FL

Leadership

Yuri Frayman

(Co-Founder & CEO)

Co-founder & former CEO of ZENEDGE, Frayman Group, Viewdle, and LegalKEY Technologies. Founder & former Executive Chairman of CUJO AI. Current Director of Blumarine Group, and is a Board Member/Advisor at Koop Technologies, Secerus, and Perthera AI.

Leon Kuperman

(Co-Founder & CTO)

Co-founder & former CTO of ZENEDGE, Co-founder of HostenPCI, and Founder & previous CTO of Truition. Previous CTO & Technology Advisor at CUJO AI, Vice President of Security Products OCI at Oracle, and was the President & CTO of Bidz.com. Current Board Member for OXYGEN.

Laurent Gil

(Co-Founder & President)

Co-founder & former CPO of ZENEDGE. Previous CEO of Viewdle, CFO of WiPlug, and Director of IdeaCapital. Worked as a Group Architect at Oracle, and was an Advisor for both We Heart It and Cel-Fi.

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