Data Engineer - Corporate Services

Graham is an employee-owned construction solutions partner that services the buildings, industrial, infrastructure, water and project finance sectors. We deliver lasting value for our clients through meticulous planning and scheduling, while upholding rigorous safety and quality standards. With offices throughout North America, our passionate and knowledgeable teams deliver projects that enable communities to thrive and people to live, work, move and grow in a rapidly changing world. With over nine decades of experience, Graham has the resources, capacity and expertise to undertake projects of every scope, scale and complexity. Join our team to deliver a better tomorrow.

We are seeking top-tier talent to join our Corporate Services team and support our construction operations by applying your expertise to various Corporate Services business initiatives. As a member of this collaborative team, you can expect a safe, diverse and inclusive environment, and on-going learning and career development opportunities.

About the role

Reporting to the Manager Data Platform and Architecture, the Data Engineer works within Graham's Enterprise Data Platform to build systems that extract, manage, and convert raw data into usable information for Data Scientists and Data Visualization Analysts to use.

As a Data Engineer at Graham you will:

• Contribute to the design, development, and management of data infrastructure on Graham's Enterprise Data Platform (Databricks) within an Azure cloud environment.
• Create comprehensive technical, functional, and operational documentation for data pipelines and applications.
• Work effectively within an Agile Scrum environment (Azure DevOps), participating in all scrum practices, including planning, demos, and retrospectives.
• Utilize business requirements to drive the design of data solutions, applications, and technical architecture.
• Collaborate with team members to ensure data products meet performance, security, and analytics goals.
• Proactively identify, track, and resolve issues and risks affecting project delivery.
• Ensure reliability, scalability, quality, and efficiency of data pipelines, storage, processing, and integration within the data engineering framework.
• Provide application and technical support as needed.
• Maintain technical and industry knowledge and skills through continuous learning activities.
• Mentor and develop junior engineers to build team capability and expertise.
• Demonstrate HSE and Quality behaviours that reflect corporate expectations of Actively Caring and Road to Zero.

Qualifications/Experience

• 3-5 years of experience in a related BI or Software Development role with experience in Data Engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions.
• Bachelor's degree (or equivalent) in Computer Science, Information Technology, Engineering, or related discipline.
• Certifications in Databricks, Azure, PowerBi are an asset.
• Understanding of data warehousing concepts (Dimensional (star-schema), SCD2, Data Vault, Denormalized, OBT) implementing highly performant data ingestion pipelines from multiple sources.
• Deep level of skills with Python, PySpark and SQL.
• Experience in developing and nurturing a Data Engineering framework to include package and dependency management tools e.g., automation tools for functional testing, and load testing.
• Experience ingesting various types of data sources (e.g. ERPs and other 3rd party apps, SQL Server, APIs, Sharepoint)
• Experience working with SAP data is an asset.
• Experience integrating the end-to-end Databricks pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained.
• Understanding of Data Management principles (quality, governance, security, privacy, life cycle management, cataloguing)
• Working within an Agile delivery and DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
• Experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT).
• Experience developing batch and streaming data pipelines.

If this sounds like you, then Graham may be the right fit. Apply today.

Graham is an Equal Opportunity Employer, and employment selection decisions are based on merit, qualifications, and abilities. Graham does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, veteran status or any other characteristic protected by country, regional or local law.

No unsolicited resumes or phone inquiries from agencies, thank you.

As Graham's trusted recruitment partner, Jardeg aids in the hiring of skilled professionals who play a crucial role in the success of Graham's Buildings, Industrial, Infrastructure, Water, Development, Maintenance and Turnaround projects across Canada.