Senior Data Engineer (Fintech)

TL;DR

Senior Data Engineer (Fintech): Designing and maintaining scalable data architecture and ETL pipelines for a fintech partner with an accent on GCP, BigQuery, and dbt. Focus on building robust data infrastructure, ensuring data quality, and collaborating with stakeholders to support analytical and operational decision-making.

Location: Remote (Global) or Hybrid in Vilnius, Lithuania.

Salary: €30–€40 per hour.

Company

hirify.global is a software development agency providing outsourcing and staff augmentation services for clients across Lithuania and Europe.

What you will do

• Design, build, and maintain the data warehouse and overall data architecture.
• Create and optimize ETL/ELT pipelines for analytical and operational needs.
• Implement integrations between internal platforms and third-party systems.
• Establish data quality standards, governance practices, and monitoring routines.
• Partner with data scientists and business stakeholders to ensure data availability.
• Evolve data infrastructure using GCP, BigQuery, dbt, and Apache Superset.

Requirements

• At least 3 years of hands-on experience in a Data Engineer role.
• Solid working knowledge of GCP and BigQuery.
• Practical experience using dbt for data modeling and transformations.
• Strong Python and SQL skills.
• Proven track record of building and tuning ETL/ELT pipelines.
• Experience with Apache Superset or similar BI tools.

Nice to have

• Previous experience in banking or fintech.

Culture & Benefits

• Full-time, long-term engagement.
• Preferred B2B freelance contract model with permanent employment options available.
• Fully remote work flexibility.
• Laptop and work equipment provided.