We are looking for a
Senior Data Engineer to join a strategic project built on a modern data platform powered by Azure and Databricks, within a high-demand enterprise environment.
If you have strong experience designing scalable, secure, and high-performance data architectures this could be your next career move.
Responsibilities
- Design and implement end-to-end data architectures on Azure.
- Build, optimize, and maintain ETL/ELT pipelines using PySpark and Spark SQL.
- Develop real-time streaming solutions using Kafka / Azure Event Hubs.
- Work with Azure Databricks, Delta Lake, and Data Lake Gen2.
- Implement and maintain CI/CD best practices using Azure DevOps.
- Define and enforce data quality, governance, lineage, and observability standards.
- Perform code reviews and provide technical leadership within the team.
- Ensure compliance with security and data protection standards.
Requirements
- 5+ years of experience as a Data Engineer.
- Strong hands-on experience with Azure Databricks and Delta Lake.
- Advanced expertise in Spark / PySpark.
- Advanced SQL skills.
- Experience with Azure Data Factory and Data Lake Gen2.
- Experience with Kafka or Azure Event Hubs.
- Experience implementing CI/CD using Azure DevOps.
- Solid understanding of data modeling and distributed systems.
- Experience working in Agile environments.
- English B2.
What We Offer
- Opportunity to work on a high-impact enterprise-level data platform.
- Involvement in architectural decisions and technical leadership.
- Remote working model.
- Competitive compensation aligned with experience.
If you are interested in this challenging position we are looking forward to receiving your comprehensive application for
ref.no. 109.936 preferably through our
ISG career portal or via email.
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