data engineer for AI/ML systems

Tech Rise provides data infrastructure, analytics, and IT system data services.

• 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 and 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, with 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;
• Take ownership of technical decisions and their impact on the product and platform.

• 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, Python, and SQL;
• Experience with MLOps, DevOps, CI/CD, orchestration tools, and cloud-based AI/ML development;
• Customer-centric mindset;
• Ability to simplify complexity, create clarity, and build systems that scale;
• Clear communication, collaboration, and initiative;
• Fluent English.

• 25 Days of leave on a full-time basis;
• Four additional company-wide days off per year;
• Option to purchase extra holidays;
• Birthday day off;
• Day off to move house;
• Volunteer day off;
• Full additional parental leave for partners;
• Flexible working hours from 7am–7pm;
• Sabbatical once every 5 years;
• Working from abroad option for up to 4 months;
• Lunch at the office prepared by an in-house chef;
• One week of onboarding;
• Learning budget for personal development and internal development opportunities;
• Home office setup budget;
• Additional monthly compensation for working from home;
• Pension;
• Access to financial advice;
• Annual Body & Mind budget;
• Yearly Summer School and Winter School;
• Annual company events.