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 leading lenders through alternative data and proprietary credit scoring, making financial services more accessible across some of the world's largest and fastest-growing markets.

Operating in massive markets requires bold thinking, ambitious solutions, and a willingness to solve complex challenges at scale. The company empowers small, high-impact team with significant ownership, autonomy, and decision-making authority, so every member of the team can shape and influence all the big decisions.

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

Join a fintech where latest AI tools, finance, and global growth come together to serve over 10 million users, and operates across multiple international markets continuing to scale rapidly, combining startup agility and proven traction to create lasting impact on a global scale.

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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

• 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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‍What we offer

• Salary from 5000 EUR gross (please let us know if your salary expectations differ; we will evaluate each case individually)

• Bonuses via good performance (cash or stock – you choose!)

• Work with paid AI tools (Claude Code); agents ensure correct, automated workflows

• 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 (3 days onsite)

• 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