TL;DR
Senior Data Engineer (Fintech): Responsible for designing, developing, and maintaining ELT/ETL data pipelines for hirify.global's Data Platform with an accent on data modelling and solid software engineering practices. Focus on overall pipeline orchestration using Airflow and GCP hosted services.
Location: Hybrid: 4 days in the Madrid office, 1 day working from home
Company
hirify.global is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions.
What you will do
- Participate in data modelling reviews and discussions to validate the model's accuracy and alignment with business objectives.
- Design, develop, deploy, and maintain ELT/ETL data pipelines from a variety of data sources.
- Deliver data models using solid software engineering practices.
- Manage overall pipeline orchestration using Airflow and GCP hosted services.
- Reduce technical debt by addressing outdated or inefficient code.
- Collaborate with team members to reinforce best practices across the platform.
Requirements
- 5+ years of data/analytics engineering experience building, maintaining, and optimizing data pipelines and ETL processes on big data environments.
- Proficiency in Python and SQL.
- Knowledge of software engineering practices in data (SDLC, RFC...).
- Stay informed about the latest developments and industry standards in Data.
- Fluency in English.
Nice to have
- Experience with our modern Data stack tools.
- Dimensional modelling/data warehousing concepts knowledge.
- Spanish language.
Culture & Benefits
- Competitive salary and benefits package.
- Discretionary bonus based on performance.
- Continued personal development through training and certification.
- Open Source friendly, following Open Source principles.
Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →