Azure Data Engineer: Scale Data Pipelines & Insights

Landmark Group; Dubai; On-site; AED 150,000 - 190,000; Full time

Job summary

Landmark Group in Dubai seeks an experienced Azure Data Engineer to join the Data Team in Landmark Digital. You will design, deploy and optimize data solutions using Azure Data Factory, Data Lake, Databricks, Synapse and Power BI to drive data-driven decision making.

You will work on large-scale data pipelines (>50TB), ensure data quality, governance and security, and collaborate with cross-functional teams to advance the retail group's data strategy.

Qualifications

• 6–8 years of experience designing, deploying and optimizing data solutions on Azure.
• Proficiency in Python, SQL or Scala for data manipulation and analysis.
• Strong knowledge of data modelling, warehousing, governance and security.
• Experience building ETL pipelines with Azure Data Factory and Azure Data Lake.
• Experience with Azure Databricks and Synapse for large-scale analytics.

Responsibilities

• Design, implement and optimize Azure-based data solutions and pipelines.
• Develop data models, warehousing concepts and data integration strategies.
• Ensure data quality, governance, security and compliance across platforms.
• Collaborate with cross-functional teams to deliver data-driven insights.
• Monitor performance, troubleshoot issues and optimize cost and scalability.

Skills

Python

SQL

Scala

Azure services

Data modeling

Data governance

ETL

Education

Bachelor's degree in CS/Engineering or related

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

Azure Data Lake Storage

Power BI

SQL Server/Databases

Job description

Landmark Group in Dubai seeks an experienced Azure Data Engineer to join the Data Team in Landmark Digital. You will design, deploy and optimize data solutions using Azure Data Factory, Data Lake, Databricks, Synapse and Power BI to drive data-driven decision making.

You will work on large-scale data pipelines (>50TB), ensure data quality, governance and security, and collaborate with cross-functional teams to advance the retail group's data strategy.