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Lead DBT Engineer

SoftServe · Remote, Poland · Remote · Senior

  • Remote, Poland · Remote

Indexed (today) · refreshed constantly

Start
ASAP
Work mode
Remote
Contract
Freelance / B2B
Seniority
Senior
Reference
DCTTVY96

Required skills

Job description

Project overview

ABOUT THE ROLE

In this role, you will help transform a data platform that currently relies on Spark and Python, orchestrated with Airflow DAGs and stored in Apache Iceberg, into a more modular target architecture centered on dbt and Lakekeeper.

  • Support the migration of the Agora data platform to a cloud-first architecture
  • Develop and maintain data transformation logic using dbt as the central business logic layer
  • Refactor and consolidate logic currently distributed across Spark, Python, and Airflow into a more standardized dbt-based approach
  • Work with Apache Iceberg as the core storage layer in both current and target architecture
  • Contribute to the implementation of an open and modular platform built around Lakekeeper
  • Support data ingestion workflows across Starburst, Microsoft Fabric, and Snowflake
  • Help build and maintain scheduling and orchestration processes using dbt and/or Microsoft Fabric
  • Enable and improve data quality, lineage, documentation, and CI/CD practices across the platform
  • Collaborate on the transition of the semantic layer from Dremio to Starburst
  • Support semantic modeling for analytics using Iceberg views stored in Lakekeeper
  • Work closely with cross-functional stakeholders to reduce operational complexity and improve platform maintainability
  • Contribute to the development of a flexible data foundation prepared for future analytics and AI-driven use cases
  • Strong experience in data engineering or analytics engineering
  • Hands-on experience with dbt
  • Solid knowledge of SQL and SQL-based transformation design
  • Experience with modern data platform and warehouse/lakehouse concepts
  • Practical experience with Apache Iceberg
  • Experience with at least some of the following technologies: Spark, Python, Airflow, Starburst, Microsoft Fabric, Snowflake
  • Understanding of data modeling, semantic layers, and analytics-focused data design
  • Experience with CI/CD, testing, and data quality practices in data platforms
  • Familiarity with lineage and technical documentation standards
  • Ability to work in an open, modular architecture with separated storage and compute principles
  • Understanding of cloud-first platform migration challenges and best practices
  • Strong collaboration and communication skills

Project details

  • Start: ASAP
  • Location: Remote, PL

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