data engineer for AI/ML systems

Enfint; Amsterdam; Hybrid; EUR 80,000 - 110,000; Full time

Benefits offered by this job

Пенсионное обеспечение

Гибкий график

Оплачиваемый отпуск

Обучение и развитие

Job summary

Tech Rise ищет инженера по данным в Амстердаме для проектирования и развития масштабируемой архитектуры данных в соответствии с бизнес-требованиями и требованиями AI/ML. Вы будете работать над пайплайнами ETL, инфраструктурой облачных данных и сотрудничать с командами Data Science для обеспечения доступности и качества данных.

Кандидат должен владеть Python, SQL и современными инструментами для DevOps/MLOps, а также иметь опыт в интеграции данных из различных источников.

Qualifications

• Опыт работы на стыке данных, инженерии и AI.
• Умение проектировать архитектуру данных и пайплайнов ETL.
• Опыт работы с ML/AI потоками приветствуется.
• Свободное владение английским языком.

Responsibilities

• Проектирование и развитие масштабируемой архитектуры данных.
• Разработка и управление ETL конвейерами и пайплайнами.
• Интеграция данных из разных источников и обеспечение качества.
• Сотрудничество с Data Scientists для доставки моделей и рабочих процессов.

Skills

Python

SQL

ETL

Data Warehousing

MLOps

Cloud Platforms

Tools

Airflow

CI/CD

Job description

Описание:

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

Задачи:

• 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

Требования:

• 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

Условия:

• 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