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
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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.
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Write efficient, well-structured SQL queries against Snowflake to extract, validate, and shape data for reporting and ad-hoc analysis.
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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.
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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.
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Partner with finance, risk, and product stakeholders to translate business questions into well-defined reporting requirements.
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Own data validation and quality checks across your reporting surfaces.
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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.
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Identify opportunities to improve existing reports, reduce manual processes, and increase self-service capability across business teams.
Requirements
Required Skills
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Strong proficiency in SQL
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Hands-on experience with Power BI and DAX.
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Experience with Snowflake or other cloud data warehouses
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Solid understanding of data modeling concepts
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Experience with dbt or similar data transformation tools
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Strong analytical and problem-solving skills
Nice to Have
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Experience in the lending/financial services domain
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Knowledge of Python or scripting for data analysis
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Familiarity with ETL/ELT processes
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Exposure to cloud platforms (AWS, Azure, or GCP)
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Understanding of data governance and data quality frameworks.
Minimum Qualifications
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Bachelor’s degree in Engineering, Computer Science, Statistics, or related field
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3–7 years of relevant experience in data analytics or BI roles
Benefits
What We Offer
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Direct influence on data-driven products that reach millions of people.
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A talented international team with a collaborative culture.
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A dynamic, challenging, and rewarding role in a rapidly expanding international company.
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Health Insurance, Life Insurance, and Provident Fund (PF).
