Data Engineer

Remote, Hybrid
Prague
Full-time

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.

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.

Oddin.gg

Data Engineer

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