Python Data Engineer

TL;DR

Python Data Engineer (Data Engineering/Python): Development and calculation of indices using the Dataiku platform with an accent on scalable data solutions, optimized data processing flows, and reliable production data pipelines. Focus on building end-to-end projects from ideation and rapid prototyping to production deployment while working with large datasets and business stakeholders.

Location: Porto, Portugal

Company

hirify.global provides pan-European market infrastructure and advanced data services for capital markets.

What you will do

• Develop and calculate indices and related analytics using Dataiku.
• Build scalable data solutions for index development and analytics.
• Work with large and complex datasets using Python and pandas.
• Design optimized, high-performance data processing flows and improve production reliability.
• Perform peer code reviews and ensure code quality and deliverable robustness.
• Write technical documentation and monitor production use cases for continuous improvement.

Requirements

• Strong experience in data engineering with proven ability to design and implement scalable data solutions.
• Extensive experience with large and complex datasets in Python (including pandas).
• Solid software engineering practices: clean code, version control, automated testing, and workflow automation.
• Experience with data pipeline orchestration tools and/or Dataiku.
• Fluent English.
• Ability to work from Porto, Portugal.

Nice to have

• Experience in the finance industry and its products.

Culture & Benefits

• Agile team embedded within the Index business.
• End-to-end support from ideation and rapid prototyping to production deployment.
• Collaboration with business stakeholders and cross-functional teams.
• Focus on innovation with reliability across the data ecosystem.

Hiring process

• Submit a CV in English.