Senior Data Engineer – Databricks & Modern Data Platforms

EY

Katowice

Hybrid

PLN 180,000 - 240,000

Full time

29 hours ago
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Benefits offered by this job

Continuous learning
Tools and flexibility to make anImpact
Diverse and inclusive culture

Job summary

EY GDS Poland is seeking a Senior Data Engineer to design and build modern data platforms using Databricks. You’ll work on international projects across Azure, AWS and Google Cloud, delivering scalable data pipelines and robust data warehousing solutions.

You will collaborate with cross-functional teams, ensure high-quality, cost-efficient data solutions, and apply DevOps/CI/CD practices to product delivery. Fluency in English is required.

Qualifications

  • At least 4 years of experience in data engineering, including 3 years with big data.
  • Hands-on experience with Databricks.
  • Strong SQL and Python skills.
  • Solid background in data warehousing, data pipelines, distributed data processing, software engineering and data modeling.
  • Experience with structured, semi-structured and unstructured data.
  • Experience with at least one public cloud: Azure, AWS or GCP.
  • Strong design skills for relational databases and non-relational storage.
  • Good understanding of data marts, data warehouses, data lakes and data mesh.
  • Experience with Agile methods (Scrum, Kanban), DevOps and CI/CD principles.
  • Strong analytical and problem-solving skills in big data environments.
  • Very good English, spoken and written.

Responsibilities

  • Design and build scalable data platforms that help our clients and business partners make better decisions.
  • Deliver robust solutions on Databricks and modern data warehouses.
  • Build and maintain reliable, well-tested data pipelines.
  • Model data for data marts, data warehouses and data lakes.
  • Make sure data solutions are high quality, performant and cost-efficient.
  • Apply DevOps and CI/CD practices to data solutions.

Skills

Databricks
SQL
Python
Data warehousing
Data pipelines
Cloud platforms (Azure, AWS, GCP)
Agile / Scrum / Kanban
English proficiency

Job description

EY GDS Poland is seeking a Senior Data Engineer to design and build modern data platforms using Databricks. You’ll work on international projects across Azure, AWS and Google Cloud, delivering scalable data pipelines and robust data warehousing solutions.

You will collaborate with cross-functional teams, ensure high-quality, cost-efficient data solutions, and apply DevOps/CI/CD practices to product delivery. Fluency in English is required.

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