emagine

Data Engineer (Azure / Databricks / Spark)

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NieokreśloneOn-site·WarszawaFull-time

#262863·Dodano 9 miesięcy temu·1

Źródło: emagine

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Tech Stack / Keywords

Azure Databricks SparkCloudData ScienceAgile CI/CDTesting

Firma i stanowisko

Join a modern data engineering team focused on delivering scalable, cloud-native data solutions using Azure, Databricks, and Spark. The team environment is agile, collaborative, and quality-driven, emphasizing CI/CD, testing, and performance optimization.

Wymagania

Hands-on experience with Azure Databricks
Experience with Azure services such as Data Factory
Proficient in Python programming
Solid understanding of Spark, including Spark SQL and performance optimization
Experience with automated unit testing and code quality best practices
Working knowledge of CI/CD pipelines (such as Azure DevOps)
Familiarity with SDLC and agile methodologies
English proficiency at B2 level

Nice to have:

Experience with Snowflake
Knowledge of dbt, Airflow, or Data Mesh architecture
Background in regulated industries such as pharma or finance

Obowiązki

Design, develop, and maintain robust ETL/ELT data pipelines using Azure Databricks and Spark
Optimize data transformation workflows for performance and cost-efficiency
Build and deploy data pipelines through CI/CD workflows using Azure DevOps (or similar)
Work closely with analysts, data scientists, and product teams to deliver clean, reliable data
Implement and monitor automated unit tests ensuring code quality and maintainability
Contribute to team standards through code reviews and knowledge sharing
Follow SDLC principles in agile team setups

Benefity

Opportunity to work on high-impact, data-driven projects with modern architecture
Long-term collaboration with flexible B2B or Employment Contract options
Private healthcare and sports benefits (available for both contract types)
Learning & development budget with time allocated for upskilling
Friendly, quality-focused team and cutting-edge tech stack

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