Data Engineer

We’re looking for an experienced Azure Data Engineer to help develop, modernize, and maintain a large-scale enterprise data platform.

You’ll work with Azure Databricks, Synapse, and Lakehouse technologies, building reliable data pipelines and supporting analytics and AI/ML initiatives.

The environment is dynamic, with changing priorities and a relatively lightweight management structure. We’re looking for someone who enjoys taking ownership, solving complex problems, and making technical decisions independently.

Your Responsibilities

• Develop and maintain scalable data pipelines using Azure Databricks, Synapse, Python, SQL, and Spark.
• Support migration from Hive Metastore to Databricks Unity Catalog.
• Migrate and optimize Delta Live Tables (DLT), Databricks jobs, and Synapse/ADF pipelines.
• Develop and maintain metadata-driven frameworks for data ingestion.
• Build integrations across financial, operational, HR, and other enterprise systems.
• Improve data processing performance, reliability, quality, and security.
• Troubleshoot production issues and implement sustainable solutions.
• Collaborate with Data Architects, analysts, developers, and business stakeholders.
• Contribute to CI/CD, automation, monitoring, and engineering best practices.

Technical Requirements

• Strong commercial experience with Azure Databricks and Azure Synapse Analytics.
• Advanced skills in Python, SQL, and Apache Spark.
• Experience with ETL/ELT development and enterprise data pipelines.
• Good understanding of Data Lakehouse architecture and Delta Lake.
• Experience with Databricks workflows, Delta Live Tables, and Unity Catalog.
• Knowledge of Azure Data Factory and Azure Data Lake.
• Familiarity with CI/CD, Azure DevOps, and production monitoring.
• Understanding of data governance, security, and performance optimization.
• English B2+.

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