Data & Analytics Engineer (Azure)

TL;DR

Data & Analytics Engineer (Azure): Developing and optimizing data pipelines and ETL/ELT processes with an accent on Azure Data Factory, Databricks, and Power BI. Focus on designing interactive dashboards, integrating multiple enterprise data sources, and ensuring system performance.

Company

An independent technology consulting firm providing guidance and solutions to over 1000 clients globally.

What you will do

• Develop and optimize data pipelines using Azure Data Factory, Databricks, and Logic Apps.
• Build ETL/ELT processes for enterprise data integration using PySpark and SQL.
• Design and maintain interactive Power BI dashboards and reports.
• Work with Azure Synapse and various enterprise data sources.
• Collaborate with regional stakeholders across Greater Asia to deliver analytics solutions.
• Ensure data quality and implement best practices across all engineering projects.

Requirements

• Bachelor's degree in Computer Science, IT, Data Science, or a related field.
• 3+ years of experience in Data Engineering or Data Analytics.
• Hands-on experience with Azure Data Factory (ADF), Databricks, and Logic Apps.
• Proficiency in PySpark, SQL, and Azure Synapse Analytics.
• Experience building dashboards in Power BI.
• Professional English communication skills.

Culture & Benefits

• International community with over 110 different nationalities.
• Strong internal growth opportunities with a high percentage of leaders promoted from within.
• Comprehensive training via an internal Academy with 250+ modules.
• Collaborative environment with frequent internal events.
• Contribution to sustainability initiatives through the WeCare Together program.

Hiring process

• Brief introductory virtual or phone call to understand motivations.
• Average of three interviews with line managers and team members.
• Technical case study or assessment depending on the position.