Creditstar

BI Engineer

🇮🇳 Remoto, Índia Remoto Tempo inteiro Publicado Mai 6, 2026
Localização Remoto, Índia
Modalidade Remoto
Contrato Tempo inteiro
Idioma English
Publicado 6 de Maio de 2026
Última verificação 2 de Junho de 2026
Contexto da JobGrid

Resumo da vaga pela JobGrid

BI Engineer at Creditstar: Remoto, Índia; Tempo inteiro. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Remoto, Índia
  • Role classification: Tempo inteiro
  • Source freshness: checked by JobGrid on 2026-06-02.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

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.