Data Engineer

Our client is a Riga-based, globally operating fintech building an AI-driven financial marketplace for the next billion consumers. The company connects underbanked users with top lenders using alternative data and proprietary credit scoring, making financial services easier to access in growing markets. Join a fintech where AI, finance, and global growth come together and where small, high-impact teams build products that reach millions of users worldwide.

Recognized as one of the fastest-growing startups in Europe, it has ranked in the Financial Times FT1000 (#27) and Deloitte Fast 50 (#3 in Central Europe).

With over 10 million users and 100 million+ processed applications, the company operates across multiple international markets and continues to scale rapidly, combining startup agility with proven traction.

About the role

As part of the Data Team, you will play a key role in building and scaling the company’s data platform that supports sales, customer engagement, and data-driven product development across Asia and Latin America. You’ll design, develop, and maintain reliable data pipelines and workflows, working with cloud infrastructure and orchestration tools. Collaborating closely with data scientists, DevOps, and business stakeholders, you’ll ensure high-quality, well-structured data is available for analytics and operational use. This role involves contributing to data warehousing, troubleshooting, and pipeline performance, while continuously improving data engineering practices.

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Tech competences

• 4+ years of experience in data engineering roles, including at least 2 years in a mid-level position

• Strong SQL skills (PostgreSQL, Redshift)

• Proficiency in Python for data processing and pipeline development

• Experience with AWS (S3, Redshift, Lambda, etc.) or similar cloud services and infrastructure (Azure, GCP)

• Hands-on experience with Apache Airflow (or similar tool) for orchestrating data workflows

• Knowledge of data warehousing concepts, data modeling techniques and best practices, data engineering best practices, ETL/ELT and performance optimization

• Experience with data visualization tools Tableau or Power BI

• Experience with version control systems (Git)

• Bachelor's degree in Computer Science, Engineering, or a related field

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Soft skills

• You have a strong innovation drive and can-do attitude

• Communication skills

• You are expected to be an expert in your field and constantly keep up with the trends and technologies

• You are expected to actively support and knowledge-share with others in the area of advanced analytics and data science, and be able to work across the data, business, and IT functions with various subject matter experts

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What we offer

• Equipment of your preference

• Knowledgeable, driven, and truly experienced team

• Vacation policy that fully covers annual leave and National holidays in line with your residence country’s standards

• Hybrid work mode

• Salary from 3500 EUR gross, and opportunity to earn more via good performance (cash or stock – you choose!)

• Early-stage startup hunger and ambition, combined with stability, as we have reached profitability

• Unlimited growth – as the company grows, you grow with us!

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Hiring process

1. Screening call with Tech Recruitment

2. First interview with the company

3. The technical task

4. Final interview with CEO