Data Platform Engineer - Databricks & AI Pipelines (Hybrid)

Medius AB

Kraków

On-site

PLN 167,000 - 246,000

Full time

6 days ago
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Benefits offered by this job

Well-being Program
Private Healthcare
Life Insurance
Birthday Off
Training Budget
Summer & Winter Parties

Job summary

Medius AB is seeking a Data Platform Engineer in Kraków to build pipelines for complex product features and AI/ML workloads. You will design ETL/ELT processes, maintain lakehouse data processing, and share platform ownership with a DevOps–minded team.

The role emphasizes data modeling, governance, and scalable architectures. Experience with PySpark, SQL, and cloud data platforms is essential, with a hybrid work setup in Poland.

Qualifications

  • Proficient in Python (PySpark) and SQL for large datasets.
  • Hands-on ETL/ELT design in a lakehouse environment.
  • Comfort with infrastructure as code (Terraform) and DevOps work.
  • Solid data modeling and integration with data trustworthiness.

Responsibilities

  • Build pipelines behind customer features spanning our products, including AI/ML components.
  • Design and maintain ETL/ELT pipelines and data processing on Azure Databricks.
  • Share ownership of the platform with the team: Terraform, IaC, DevOps, reliability, security, performance.
  • Shape data governance patterns and standards to keep data accurate.
  • Help shape backlog: propose ideas, challenge assumptions, decide what to build next.
  • Identify gaps and take ownership without waiting to be asked.

Skills

Python (PySpark)
SQL

Tools

Terraform
Azure Databricks
Apache Spark
Snowflake
BigQuery
Microsoft Fabric

Job description

Medius AB is seeking a Data Platform Engineer in Kraków to build pipelines for complex product features and AI/ML workloads. You will design ETL/ELT processes, maintain lakehouse data processing, and share platform ownership with a DevOps–minded team.

The role emphasizes data modeling, governance, and scalable architectures. Experience with PySpark, SQL, and cloud data platforms is essential, with a hybrid work setup in Poland.

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