What you’ll be doing:
- 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 YOU
- You thrive at the intersection of data, engineering, and AI
- Analytical thinker with a structured, problem-solving mindset
- Strong technical skills across cloud data platforms, ETL, data warehousing, and Python/SQL
- Experience with MLOps, DevOps, CI/CD, orchestration tools, and cloud-based AI/ML development
- You have a customer centric mindset
- You enjoy simplifying complexity, creating clarity, and building systems that scale
- A true team collaborator who communicates clearly and takes initiative
- Fluent in English
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