Data Engineer - AI-Driven Pipelines on Azure Databricks

Capgemini

Województwo pomorskie

Hybrid

PLN 180,000 - 260,000

Full time

9 days ago

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Benefits offered by this job

Yearly financial bonus
Private medical care (Medicover) with
Life insurance
NAIS benefit platform

Job summary

Capgemini Invent is seeking experienced Data Engineers to join a strategic Data & AI initiative for a leading international legal organization. You will develop and maintain AI-powered products and scalable data solutions, contributing end-to-end data pipelines and governance practices.

The role requires 5+ years of data engineering experience, strong PySpark, Python and SQL abilities, hands-on Azure Databricks, Delta Lake, and on-site work in Gdańsk or Wrocław within a hybrid model.

Qualifications

  • 5+ years of Data Engineering experience.
  • Strong PySpark, Python and SQL skills.
  • Hands-on experience with Azure Databricks and Delta Lake.
  • Experience delivering end-to-end data platforms and ingesting data from enterprise systems and APIs.

Responsibilities

  • Build and maintain scalable data pipelines using Azure Databricks and Delta Lake.
  • Ingest, cleanse, transform and deliver data for analytics and AI use cases.
  • Develop metadata-driven and reusable data-engineering frameworks.
  • Implement data-quality, CDC, SCD2, observability and audit solutions.
  • Deploy data products using Databricks Asset Bundles and Azure DevOps.
  • Optimize Delta Lake models and ETL/ELT processes.
  • Collaborate with architects, engineers and business stakeholders.

Skills

PySpark
Python
SQL
Azure Databricks
Delta Lake
Data pipelines
CI/CD
YAML pipelines
English

Tools

Azure Databricks
Delta Lake
CI/CD

Job description

Capgemini Invent is seeking experienced Data Engineers to join a strategic Data & AI initiative for a leading international legal organization. You will develop and maintain AI-powered products and scalable data solutions, contributing end-to-end data pipelines and governance practices.

The role requires 5+ years of data engineering experience, strong PySpark, Python and SQL abilities, hands-on Azure Databricks, Delta Lake, and on-site work in Gdańsk or Wrocław within a hybrid model.

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