Data Engineer (Databricks + DBT) on Azure Cloud

Webellian Sp.z o o

Województwo mazowieckie

Hybrid

PLN 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Private medical care
Group insurance
Multisport card
English classes available
Hybrid work in Warsaw
Continued learning and growth
On-site amenities

Job summary

Webellian Sp.z o o is hiring a Data Engineer to join a large cross-functional team building a Central Data Platform for a global insurer. You will craft scalable data pipelines on Databricks, optimize ETL/ELT workloads, and prepare data for machine learning and decision-support tasks.

The role emphasizes collaboration with data scientists and engineers, adherence to best practices, and a DevOps mindset. Hybrid work in Warsaw, with English language usage across a multinational team.

Qualifications

  • Bachelor’s or Master’s degree in a technical field or equivalent experience.
  • Fluent English (written and spoken).
  • Proven experience in building and optimizing data pipelines.
  • Strong knowledge of Databricks, Python, SQL and PySpark.

Responsibilities

  • Design and implement end-to-end data pipelines on a modern cloud data platform.
  • Build and maintain ETL/ELT processes and data models.
  • Prepare high-quality training datasets for ML models.
  • Collaborate with data scientists, engineers and business stakeholders.

Skills

Databricks
Python
SQL
PySpark
Data Engineering

Education

Bachelor’s or Master’s degree in Computer Science / Engineering

Tools

dbt
GitHub
Azure Data Services
CI/CD tooling

Job description

Webellian Sp.z o o is hiring a Data Engineer to join a large cross-functional team building a Central Data Platform for a global insurer. You will craft scalable data pipelines on Databricks, optimize ETL/ELT workloads, and prepare data for machine learning and decision-support tasks.

The role emphasizes collaboration with data scientists and engineers, adherence to best practices, and a DevOps mindset. Hybrid work in Warsaw, with English language usage across a multinational team.

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