Senior Data & AI Engineer — Flexible Hours, Global Work Option

Tech Rise; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working hours

Pension

Learning budget

Home office budget

Birthday off

Volunteer day off

Parental leave

Office lunch provided

Sabbatical option

Remote work from abroad up to 4 months

Annual body & mind budget

Summer/Winter School

Annual events

Job summary

Effectory in Amsterdam is seeking a hands-on data engineer to design, build, and evolve scalable data architecture aligned with business and AI/ML needs. You will develop and manage data ingestion pipelines from diverse sources, ensuring data is clean, structured, and ready for analytics or model training.

Collaborate with Data Scientists, Product, Engineering, and Analytics to deploy and monitor pipelines and AI flows, automate CI/CD and MLOps practices, and continuously improve data tools and

Qualifications

• Design, build, and evolve scalable data architecture aligned with business and AI/ML requirements.
• Develop and manage data ingestion pipelines from diverse sources; ensure data is clean, structured, and analytics-ready.
• Prepare data for AI, ML, and advanced analytics to improve quality, reliability, and accessibility.

Responsibilities

• Integrate data from APIs, databases, events and other sources.
• Collaborate with Data Scientists to deliver models and AI flows to endpoints, supporting deployment and monitoring.
• Automate workflows using CI/CD, orchestration tools, and modern DevOps/MLOps practices.
• Work with Product, Engineering, and Analytics teams to translate business needs into technical solutions.
• Deploy and monitor pipelines and models using cloud-native tools (Azure preferred).
• Provide documentation, support, and guidance to internal stakeholders and customers.
• Continuously improve tools, workflows, and architecture.
• Stay current with emerging data and AI technologies and best practices.
• Work in an agile, cross-functional environment aligned with company OKRs.

Job description

Effectory in Amsterdam is seeking a hands-on data engineer to design, build, and evolve scalable data architecture aligned with business and AI/ML needs. You will develop and manage data ingestion pipelines from diverse sources, ensuring data is clean, structured, and ready for analytics or model training.

Collaborate with Data Scientists, Product, Engineering, and Analytics to deploy and monitor pipelines and AI flows, automate CI/CD and MLOps practices, and continuously improve data tools and