Senior Data Engineer (Fintech)

TL;DR

Senior Data Engineer (Fintech): Design and maintain data pipelines and ETL/ELT workflows for financial process automation solutions with an accent on event-driven serverless systems using AWS services. Focus on building Python-based data processing components, optimizing SQL queries, provisioning infrastructure with Terraform, and implementing CI/CD pipelines for reliable operations.

Location: European Union, 100% Remote

Company

Global AI transformation and technology consulting partner with engineering hubs across EMEA and LATAM, partnering in financial services, healthcare, life sciences, energy, and climate.

What you will do

• Design and maintain data pipelines and ETL/ELT workflows, including batch extraction, transformation, and loading into analytics-ready data stores
• Build and operate event-driven, serverless data processing systems using AWS services such as S3, EventBridge, Lambda, and Athena
• Develop Python-based data processing components for parsing and transforming data within Lambda environments
• Write and optimize SQL queries for data validation and analysis using Athena
• Create and maintain embedded analytics dashboards for customer-facing reporting using AWS QuickSight
• Provision and manage data infrastructure using Terraform, implement CI/CD pipelines and monitoring/alerting

Requirements

• 5+ years of experience building and maintaining data pipelines and ETL/ELT systems
• Strong hands-on experience with AWS data services (S3, EventBridge, Athena, Lambda) and serverless architectures
• Proficiency in Python for data transformation and pipeline development
• Advanced SQL skills for querying and validating large datasets
• Experience working with analytics-ready data stores and end-to-end pipeline delivery
• Ability to troubleshoot and optimize cloud-native data pipelines
• Experience with infrastructure as code (Terraform) and multi-environment deployments
• Familiarity with CI/CD practices for data infrastructure

Nice to have

• Experience with AWS QuickSight, including embedded dashboards
• Knowledge of Java for upstream data extraction layers
• Experience supporting customer-facing analytics solutions
• Familiarity with monitoring, alerting, and observability best practices

Culture & Benefits

• 100% Remote Work with WFH allowance
• Career development program with 360º feedback
• Allocated time for tech training (online courses, English classes, books, conferences)
• Mentoring program
• hirify.global Wellbeing Hub with mental health, nutrition, fitness support
• Multicultural environment with tech events, webinars, team-building activities