Data Engineer

The Data Engineer is a core member of the Connected Data team, responsible for building and maintaining data pipelines and datasets that support enterprise reporting and analytics. Working within a project-based delivery model, this role contributes to the incremental development of a unified data platform by integrating data from enterprise and operational systems into usable, structured datasets. The role operates in an evolving environment where data availability, definitions, and priorities may change, requiring adaptability and a strong delivery focus. The Data Engineer works closely with the Project Manager, Data Architect, and Power BI Developers to deliver data solutions aligned with Connected Data priorities. Salary Range - 100,000 - 140,000 In 1962, Jim Redpath’s vision for the company was much the same as it is today; offering a high level of service to the mining industry, which exceeds current standards and provides challenge for its employees. With a foundation built on global experience, adaptability and exceptional workmanship, Redpath leads the industry with cutting edge innovations in safety and mining practices. Services including underground construction, shaft sinking, raiseboring, mine contracting, raise mining, mine development, engineering and technical services and a variety of specialty services are offered around the world, with the expertise and qualifications in place to support any scope of work. Global experience has given Redpath expansive regulatory knowledge, regional expertise, and cultural sensitivity. Redpath has built a solid reputation for conquering tough challenges and adapting to a variety of environments. Redpath’s employees are the heart of the company’s success, and it remains through them that the company will continue to expand and flourish. Redpath is committed to an environment that is barrier-free. If you require accommodation during the hiring process, please inform us in advance so that we can arrange reasonable and appropriate accommodation.

The Data Engineer is responsible for building and maintaining data pipelines and datasets to support enterprise reporting and analytics. This includes integrating data from operational systems into structured datasets and collaborating with cross-functional teams to deliver data solutions.

Requires a Bachelor's degree in Computer Science or a related field and 4-8+ years of experience in building data pipelines. Proficiency in SQL and modern data platforms like Azure or Microsoft Fabric is essential.

Identified from the job description. Confirm important requirements above.

• SQL
• Data Pipeline Construction
• Python
• Spark
• Microsoft Fabric
• Azure Data Factory
• Azure Databricks
• Power BI
• Data Modeling
• Data Integration
• Data Governance
• Git
• ETL
• Data Transformation
• Requirements Analysis
• Stakeholder Management

• Data & Analytics
• Technology
• Engineering
• Software
• Construction

Minimum education

Professional degree

Minimum experience

8+ years

Posting language

English

Working hours

40 hours per week