Senior Azure Data Engineer– Databricks

Experience: 8+ Years

Technology Focus: Azure | Databricks | PySpark | Python | SQL | Data Engineering

Role Overview

We are looking for an experienced Senior Azure Data Engineer / Lead with 8+ years of software/data engineering experience and strong expertise in Azure, Databricks, Python, SQL and Apache Spark.

The ideal candidate will have hands-on experience designing and developing complex data pipelines, distributed data processing solutions, ETL frameworks and large-scale data platforms within Agile environments.

Key Responsibilities & Requirements

• 8+ years of experience in software/data engineering and development, preferably within Agile environments.
• Strong hands-on expertise in Python and SQL; Java experience is an advantage.
• Design, develop and optimize complex data pipelines and ETL workflows.
• Strong experience with Apache PySpark, Databricks, Azure Synapse, Azure Data Factory (ADF) and Azure Functions.
• Hands-on experience with data modelling, data warehousing and large-scale ETL architectures.
• Experience working with MS SQL, ADLS Gen2 and NoSQL/data storage technologies.
• Good understanding of object storage and Big Data architectures, particularly Azure Data Lake Storage Gen2.
• Experience managing and optimizing distributed systems and clusters for large-scale/batch data processing.
• Knowledge of MLOps architecture and practices.
• Strong understanding of modern data modelling concepts and enterprise data warehouse architecture.
• Familiarity with Azure DevOps, Git and modern CI/CD practices.
• Good knowledge of ETL and data warehousing methodologies.
• Informatica experience is an advantage.
• Ability to work closely with architects, developers, data teams and business stakeholders in an Agile environment.