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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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