Senior Data AI Engineer

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

THIS IS YOU

• Design, build, and evolve scalable data architecture aligned with business and AI/ML requirements
• Develop and manage data ingestion pipelines from diverse sources, ensuring data is clean, structured, and ready for analytics or model training
• Prepare data for AI, ML, and advanced analytics, improving quality, reliability, and accessibility
• Integrate data from APIs, databases, events and additional internal/external sources
• Collaborate with Data Scientists to deliver models and AI flows to endpoints, supporting deployment, monitoring, and full lifecycle management
• Automate workflows using CI/CD, orchestration tools, and modern DevOps/MLOps practices
• Work closely 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 our 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
• Take ownership of technical decisions and their impact on our product and platform

THIS IS WHAT WE OFFER

• 25days leave on a full time basis
• 4 “cool down days”(additional company wide days off a year, where the entire office is closed)
• The option to purchase extra holidays
• Your birthday off
• A day off to move house
• A volunteer day off to support something you care about
• Full additional parental leave for partners
• Flexible working hours from 7am – 7pm
• A sabbatical once every 5 years
• Working from abroad option for up to 4 months
• A great lunch (hot & cold vegetarian, meat and vegetarian options) at the office, made by our in house chef
• A week of fun and interactive onboarding to get to know Effectory and your new colleagues
• A learning budget for personal development + extensive internal development opportunities
• Budget to set up your home office
• Additional monthly compensation for working from home
• Pension
• Access to financial advice
• Annual Body & Mind budget for anything that energizes or relaxes you
• Yearly Summer School & Winter School
• Annual events: Winter Party, Summer Party & the legendary Big Day