The Data Engineer builds systems that collect, manage and convert raw data into usable information for Data Scientists and Businesses Analysts to interpret, evaluate and optimize BCMEA’s operational performance. You will collaborate with BCMEA’s Data Analytics, Data Infrastructure and Program Technical Team to develop, deliver and implement reliable data infrastructure. Working alongside the WaterfrontWorks Technology Group you will help with establishing effective data pipeline performance monitoring. This position is a 15 month contract, and a dedicated resource to the WaterfrontWorks initiative, which is a 7-element technology program focused on improving our workforce planning tools.
Responsibilities
- Engagement: Actively participate and collaborate with BCMEA’s Technology Group in developing our solutions.
- Data Modeling: Utilize Microsoft Power BI, T-SQL, SSIS and other relevant Microsoft tools to support data modeling and pipeline development alongside the Program Technical Team.
- Infrastructure: Develop, implement, and maintain a robust data infrastructure utilizing Azure as necessary, aligning with the evolving needs of BCMEA.
- Efficiency of Data Flow: Assess and provide detailed solutions for enhancing data flow efficiency and compliance across the organization.
- Data Governance: Collaborate with BCMEA’s Data Analytics team to formulate robust data governance policies for daily operations and future data structures.
- Analysis: Perform system analysis, defining application systems' scope and objectives, conducting feasibility studies, and resolving existing system logic challenges as required. This involves preparing detailed specifications for system modifications or new implementations.
- Design: Participate in-depth business analysis, including workflow analysis, to define business requirements and models. This includes scoping business objectives, designing or enhancing manual and automated procedures.
- Implementation: Take SQL pseudo-code from Data Analytics team members to a finished state, including implementation of process orchestration using DevOps framework.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology or any related program from an accredited post-secondary school institution.
- 2 to 4 years of proven experience as a Data Engineer or in a similar role.
- Technically proficient in Programming Languages (i.e., Python, TSQL and C#), Microsoft SQL Server Management Studio, Visual Studio, , Microsoft Office and Microsoft Power Platform, Azure.
- Versed ability in data modelling, delivery data layers, and data processes and procedures are considered a bonus.
- Excellent interpersonal skills to effectively communicate and collaborate with the Data Analytics, Data Infrastructure and Program Technical team by fostering open communication and idea sharing.
- Creative-eye, innovative and a solutions-driven mindset to deliver data infrastructure that drives and optimizes business operations and decisions in the present and future.
- A growth-oriented mindset and a willingness to learn by staying abreast with dynamic data governance, Industry developments and changes.
About Us
The British Columbia Maritime Employers Association (BCMEA) represents 49 member companies which consists of ship owners, bulk operators, stevedores, general cargo and containers, and the more than 8,500 employees who work for them. We are integral to Canada’s Pacific Gateway Strategy that links Canada to the rest of the world. This gateway contributes $12 billion dollars and 130,000 direct and indirect jobs to Canada’s economy.
Our head office is located in up and coming Railtown. Close to transit and just minutes away from Gastown and Chinatown. Free parking is available in our designated lot to those who drive. Our office features beautiful exposed brick and modern workstations in an open environment.
BC Maritime Employers Association is an equal opportunity employer. We are committed to creating a diverse and inclusive workforce and welcome applications from candidates of all backgrounds.
