Data Engineer-Lead - Project Planning and Execution

We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision‑making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration.

• Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well‑documented data solutions.
• Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams.
• Partner with the extended data team to define, develop, and maintain shared data models and definitions.
• Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems.
• Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery.
• Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance.
• Support incident resolution and perform root cause analysis for data‑related issues.
• Create and maintain both business requirement and technical requirement documentation.
• Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions.
• Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns.

• Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS).
• Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
• Strong hands‑on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL.
• Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST).
• Experience with modern data platforms like Snowflake and Microsoft Fabric.
• Solid understanding of Data Modeling, pipeline orchestration and performance optimization.
• Strong problem‑solving skills and ability to troubleshoot complex data issues.
• Excellent communication skills, with the ability to work collaboratively in a team environment.
• Familiarity with tools like Power BI for data visualization is a plus.
• Experience working with or coordinating with overseas teams is a strong plus.

• Knowledge of Airflow or other orchestration tools.
• Experience working with Git‑based workflows and CI/CD pipelines.
• Experience in the construction industry or a similar field is a plus but not required.