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SHIMI is a Polish recruitment, IT body leasing, and HR outsourcing agency headquartered in Warsaw. The company provides talent acquisition and staff augmentation services across several core areas, including IT & Engineering, SSC/BPO (Shared Service Centers/Business Process Outsourcing), Finance, and Sales. Its service models include permanent placement recruitment, IT body leasing/contracting, and full HR and payroll administration for client organizations operating in Poland and across the EU.

We are looking for a Data Engineer (m/f/n) to join our client’s team.

Key Responsibilities:

  • Develop and maintain ELT pipelines from source systems (Cloudera/MinIO) to Amazon S3 and Amazon Redshift.
  • Build and maintain data warehouse layers, including Staging, Intermediate, Business View, and Dimensional Models.
  • Implement fact tables (Transactional, Accumulating Snapshot, and Periodic Snapshot) and Type 1 & Type 2 Slowly Changing Dimensions based on established data models.
  • Develop data transformations using dbt and orchestrate workflows using Apache Airflow.
  • Write, optimize, and troubleshoot SQL queries, including inner, self, and outer joins.
  • Work with Amazon Redshift for data loading, transformation, and performance optimization.
  • Manage and process data stored in Amazon S3 and Apache Iceberg tables on the MinIO platform.
  • Support the migration of data pipelines from Cloudera to the MinIO platform.
  • Collaborate with architects, data modelers, and business teams to deliver reliable and high-quality data solutions.

Required Skills:

  • Amazon S3 and Amazon Redshift
  • dbt and Apache Airflow
  • Advanced SQL (Inner, Self, Left, Right, and Full Outer Joins)
  • Data Warehousing concepts
  • Fact and Dimension implementation
  • Type 1 & Type 2 Slowly Changing Dimensions
  • Kimball Dimensional Modeling (working knowledge)
  • Cloudera, MinIO, and Apache Iceberg
  • ELT/Data Pipeline Development

What we offer:

  • Contract type: B2B with SHIMI.
  • Rate: 120 zł/h netto + VAT.
  • Type of work: remote.
  • End date: 31.12.2027 (optional extension).

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