Senior Data Platform Engineer (Fintech)

TL;DR

Senior Data Platform Engineer (Fintech): Evolving hirify.global’s data ecosystem through automation, platform capabilities, and self-service tooling with an accent on security, governance, and reliability. Focus on designing guardrails and abstractions to empower teams across the company to access trusted data and make data-driven decisions.

Location: Barcelona, Spain. Hybrid or remote work.

Company

hirify.global provides innovative, flexible and easy-to-use payments technologies that help merchants acquire, convert and retain more customers.

What you will do

• Design and evolve the self-service Data Platform, enabling engineering and business teams to build and manage their own data products autonomously.
• Identify friction points for internal data consumers and build platform capabilities that improve developer experience.
• Design and maintain a “Golden Path” for data pipelines, enabling teams to deploy new pipelines in minutes instead of weeks.
• Embed data governance, observability, lineage, and access control directly into platform capabilities.
• Improve the reliability, performance, and cost efficiency of our data infrastructure.
• Lead architectural discussions and mentor engineers on distributed systems and platform design.

Requirements

• 7+ years of experience in Data Engineering, Data Platform Engineering, or Infrastructure Engineering.
• Strong experience building and maintaining data platforms or distributed systems.
• Experience with AWS cloud environments.
• Solid experience with Kubernetes and containerized infrastructure.
• Strong experience with Infrastructure as Code (Terraform, Helm).
• Experience implementing observability, monitoring, logging, and alerting systems.
• Proficiency in English for daily communication, documentation, and technical discussions.

Nice to have

• Experience implementing data observability frameworks (Elementary, Great Expectations, etc.).
• Experience implementing Change Data Capture (CDC) pipelines.
• Experience with Airflow or other DAG orchestration tools.
• Experience building self-service platforms for data teams.
• Familiarity with modern data lake formats such as Apache Iceberg.

Culture & Benefits

• 23 vacation days + 2 days of free disposal per year.
• Flexible working hours.
• A personal budget for professional development.
• Office workshops and meet-ups to encourage community participation and career growth.
• Hybrid or remote work.

Hiring process

• Interview with People Team.
• Technical take-home assessment.
• Live Peer review of the assessment.
• Meet the team.