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Reduce technical debt by addressing outdated or inefficient code.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.