Data Engineer (Azure & Databricks)
Summary
Designs and maintains large-scale data pipelines using Azure and Databricks, transforming raw data into analytics-ready datasets for enterprise reporting and AI initiatives.
Location: Wrocław (Hybrid, 1 day/week onsite)
Contract: B2B via Experis
Start: ASAP / up to 30 days notice period
We are looking for a Data Engineer with at least 5 years of experience to join a team delivering enterprise-scale data, analytics, and AI solutions.
Requirements
Minimum 5 years of experience in Data Engineering.
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Strong hands-on experience with:
Databricks
Azure Data Factory
Azure SQL Database
Azure Key Vault
Azure Synapse Analytics
Informatica Intelligent Cloud Services (IICS)
Advanced skills in Python, PySpark, and SQL.
Experience with Azure DevOps and CI/CD pipelines.
Knowledge of data modeling, API integrations, and enterprise data architecture.
Experience working in Agile/Scrum environments.
Strong analytical and problem-solving skills.
Fluent English.
Responsibilities
Design, develop, and maintain end-to-end data pipelines.
Build data integration and transformation solutions using Azure technologies and Databricks.
Create and maintain analytical datasets and data marts.
Support reporting, analytics, and AI initiatives.
Manage CI/CD processes and Azure DevOps environments.
Collaborate closely with business stakeholders and cross-functional teams.
Benefits
Private healthcare (Medicover)
Multisport card
Group life insurance
Access to e-learning platforms
International project environment