Data Engineer (Databricks)

We are looking for a Data Engineer to join a global professional services organization delivering digital and engineering solutions across complex infrastructure, manufacturing, environmental, and technology programs.

The role focuses on designing, developing, and maintaining modern data platforms using Databricks, while supporting data-driven initiatives and Master Data Management (MDM) capabilities. The successful candidate will contribute to scalable data architectures, data integration, governance, and engineering asset standardization.

Key Responsibilities

Data Engineering & Development

• Design, develop, and maintain data pipelines and data products within Databricks.
• Build scalable Data Lake, Lakehouse, and Data Warehouse solutions.
• Develop, optimize, and maintain ETL/ELT processes using SQL and Python.
• Integrate data from multiple internal and external systems.
• Ensure data quality, consistency, integrity, and reliability across platforms.

Data Architecture & Modelling

• Contribute to data architecture design and implementation.
• Develop and maintain logical and physical data models.
• Support enterprise-wide data standardization initiatives.
• Implement best practices for scalable and maintainable data solutions.

DevOps & Engineering Practices

• Work within Agile and DevOps environments.
• Utilize Git-based version control and CI/CD pipelines.
• Participate in code reviews, testing activities, and pair programming sessions.
• Follow software engineering and data engineering best practices.

Nice-to-Have

• Experience implementing or supporting MDM solutions.
• Experience with Engineering, BIM, Construction, or Infrastructure data environments.
• Exposure to Event-Driven Architectures.
• Experience with Real-Time Data Processing.
• Knowledge of Data Governance frameworks and standards.
• Experience working on large-scale infrastructure or multidisciplinary programs.
• Experience with cloud platforms:
• Azure
• AWS
• GCP