BI Engineer

Reposted 17 Days Ago
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Hiring Remotely in Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office or Remote
Mid level
Fintech • Software • Financial Services
The Role
The BI Engineer will design and maintain Power BI dashboards, write SQL queries, implement data models, and ensure reporting accuracy while collaborating with finance and risk teams.
Summary Generated by Built In
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.

RequirementsRequired 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

BenefitsWhat 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).

Skills Required

  • 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
Am I A Good Fit?
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The Company
HQ: Tallinn, Harjumaa
70 Employees
Year Founded: 2006

What We Do

Creditstar Group is a rapidly growing international consumer finance company, headquartered in Tallinn, Estonia and operating in multiple European markets. Our vision is to build and deliver digital banking products of the future. At the core, we are a financial technology company that uses automated processes, algorithms and data analysis to make financial instruments easily available to a population of more than 100 million people in our target markets. We are a team of ambitious professionals who value innovation, speed, high growth and high performance.

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