BI Engineer

About Us

Creditstar Group is an international fintech company headquartered in Tallinn, Estonia, operating across multiple European markets. We build data-driven financial products and are looking for engineers who want to have a real impact in a fast-moving environment.

Role Overview

We are seeking a skilled BI Engineer with 3–7 years of experience to support data-driven decision-making. The ideal candidate will have strong expertise in data modeling, SQL, and modern data stack tools, familiarity with credit or lending metrics is a strong plus, as you'll be working closely with risk and finance teams where domain context matters as much as technical skill.

Key Responsibilities

• Design, build, and maintain Power BI dashboards that serve as the primary reporting layer for finance, risk, and product teams. Owning both the accuracy and performance of what gets published.
• Write efficient, well-structured SQL queries against Snowflake to extract, validate, and shape data for reporting and ad-hoc analysis.
• Design and implement scalable semantic data models in Power BI including DAX measures, star-schema structures, and calculated tables, ensuring reports perform reliably at scale.
• Build and manage data transformation logic using dbt, collaborating with the data engineering team to ensure the right data is available, structured correctly, and ready for the BI layer.
• Partner with finance, risk, and product stakeholders to translate business questions into well-defined reporting requirements.
• Own data validation and quality checks across your reporting surfaces.
• Contribute to metric governance: documenting definitions, business logic, and calculation methodology so that key terms like "active loan" or "default rate" mean the same thing across every report and every market.
• Identify opportunities to improve existing reports, reduce manual processes, and increase self-service capability across business teams.

Required Skills

• Strong proficiency in SQL
• Hands-on experience with Power BI and DAX.
• Experience with Snowflake or other cloud data warehouses
• Solid understanding of data modeling concepts
• Experience with dbt or similar data transformation tools
• Strong analytical and problem-solving skills

Nice to Have

• Experience in the lending/financial services domain
• Knowledge of Python or scripting for data analysis
• Familiarity with ETL/ELT processes
• Exposure to cloud platforms (AWS, Azure, or GCP)
• Understanding of data governance and data quality frameworks.

Minimum Qualifications

• Bachelor’s degree in Engineering, Computer Science, Statistics, or related field
• 3–7 years of relevant experience in data analytics or BI roles

What We Offer

• Direct influence on data-driven products that reach millions of people.
• A talented international team with a collaborative culture.
• A dynamic, challenging, and rewarding role in a rapidly expanding international company.
• Health Insurance, Life Insurance, and Provident Fund (PF).