BI Data Engineer
- Role
- Data Engineering
- Experience
- Mid
- Employment
- Full-time
The listing doesn't say where it hires from. It may hire in Czechia (89% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: stated job location and company offices.
No BS summary
BI Data Engineer with 3+ years of experience in data warehousing, dimensional modeling, and Python for transformations. Must have strong SQL skills and experience with dbt. Familiarity with CI/CD and Terraform is required. Detail-oriented and collaborative mindset needed.
Core skills
Required skills
Optional skills
Required languages
We’re building a Realtime Data Platform – a platform that ingests data from multiple external sources, normalizes it into canonical models, and serves it for analytics, dashboards, and client-facing reports. As a BI Data Engineer, you’ll design and operate data models and transformation pipelines, ensure data quality and reliability for decision-making, and collaborate with analysts and business stakeholders to deliver trusted insights. Responsibilities
Data Ingestion & Transformation Design and maintain ingestion & transformation flows (dbt, SQL, Python). Build reliable pipelines from ETLs, CDC, APIs, CSVs, and event streams into analytical models. Ensure deduplication and data integrity for BI reporting.
Data Modeling & Warehousing Develop semantic and analytical models (fact/dimension tables, star/snowflake schemas). Optimize query performance in BI warehouse (currently Athena with Iceberg but in the future maybe ClickHouse, Redshift, BigQuery or Starrocks). Implement versioned entities and audit trails for business data.
Analytics Enablement Build pre-aggregations and semantic layers (Cube, dbt metrics and models). Support dashboards and client-facing reports in Grafana. Design KPIs and metrics with product, risk, and operations teams.
Data Quality & Observability Implement validation checks (dbt tests, Pydantic). Monitor data freshness, pipeline SLAs, and dashboard accuracy. Set up alerts and documentation for business users.
Collaboration & Stakeholder Support Work closely with analysts, product managers, and operations to understand BI needs. Expose data via APIs/semantic layers for self-service exploration. Contribute to the design of rules for reporting policies and metric definitions.
Requirements Experience: 3+ years in BI engineering, data engineering, or analytics engineering. Data Warehouses: strong SQL skills, experience with at least one warehouse (Athena, Redshift, ClickHouse, Snowflake, BigQuery). Modeling: hands-on with dimensional modeling, dbt, star/snowflake schemas, metric layers. Programming: Python for transformations . Data Quality: experience with validation, deduplication, audit logs. CI/CD & Infra: GitHub Actions or similar, Terraform/CDK basics, containerized pipelines. Mindset: detail-oriented, reliable, collaborative with business users.
Nice to Have Knowledge of semantic layers (Cube, dbt metrics). Experience with AWS and cloud Infrastructure. Experience with client-facing dashboards. Experience with Grafana or another BI visualization tool. Familiarity with real-time analytics and pre-aggregations. Esports fan.
What We Offer Opportunity to shape the BI architecture from the ground up. Modern realtime analytics stack (dbt, Cube, Grafana, Postgres, Iceberg). Collaborative, engineering-led environment with strong focus on analytics. Experience immense potential for personal growth while contributing to an innovative team. Work remotely or in a hybrid style – whatever suits you best. Enjoy our luxurious Norse-myth-inspired offices in Prague. Improve your English with company-sponsored language courses. Participate in quarterly team-building activities to bond with your team.
By applying to this position, you consent to Oddin.gg s.r.o., ID No.: 076 81 763, Pod Dráhou 1637/6 , 170 00 Praha 7-Holešovice, Czechia, processing your personal data under Regulation (EU) 2016/679. Your data will be processed for recruitment and may be retained for up to 3 years for similar job opportunities. Rights: Access, correct, delete, restrict, or object to processing; withdraw consent via hr@oddin. For more details: Contact hr@oddin.gg or visit website here.
What you'll do
- Design and maintain ingestion & transformation flows (dbt, SQL, Python).
- Build reliable pipelines from ETLs, CDC, APIs, CSVs, and event streams into analytical models.
- Ensure deduplication and data integrity for BI reporting.
- Develop semantic and analytical models (fact/dimension tables, star/snowflake schemas).
- Optimize query performance in BI warehouse (currently Athena with Iceberg but in the future maybe ClickHouse, Redshift, BigQuery or Starrocks).
- Implement versioned entities and audit trails for business data.
- Build pre-aggregations and semantic layers (Cube, dbt metrics and models).
- Support dashboards and client-facing reports in Grafana.
- Design KPIs and metrics with product, risk, and operations teams.
- Implement validation checks (dbt tests, Pydantic).
- Monitor data freshness, pipeline SLAs, and dashboard accuracy.
- Set up alerts and documentation for business users.
- Work closely with analysts, product managers, and operations to understand BI needs.
- Expose data via APIs/semantic layers for self-service exploration.
- Contribute to the design of rules for reporting policies and metric definitions.
What they require
- 3+ years in BI engineering, data engineering, or analytics engineering.
- strong SQL skills, experience with at least one warehouse (Athena, Redshift, ClickHouse, Snowflake, BigQuery).
- hands-on with dimensional modeling, dbt, star/snowflake schemas, metric layers.
- Python for transformations .
- experience with validation, deduplication, audit logs.
- GitHub Actions or similar, Terraform/CDK basics, containerized pipelines.
- detail-oriented, reliable, collaborative with business users.
Benefits
- Opportunity to shape the BI architecture from the ground up.
- Modern realtime analytics stack (dbt, Cube, Grafana, Postgres, Iceberg).
- Collaborative, engineering-led environment with strong focus on analytics.
- Experience immense potential for personal growth while contributing to an innovative team.
- Work remotely or in a hybrid style – whatever suits you best.
- Enjoy our luxurious Norse-myth-inspired offices in Prague.
- Improve your English with company-sponsored language courses.
- Participate in quarterly team-building activities to bond with your team.
Oddin.gg is the leading B2B esports betting infrastructure provider. We provide the content, odds, risk management, and data-driven innovations that power betting for sportsbook and platform operators worldwide.