Senior Data Engineering Specialist

Co-operators; Regina; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineering Specialist to drive the development and optimization of data products. This role is vital in ensuring the reliability and performance of ETL processes while collaborating with key partners and mentoring junior team members. The ideal candidate will have a strong background in data engineering with experience in Azure and modern data platforms. You'll be part of a dynamic team focused on innovation and excellence, working in a hybrid model that supports both personal and professional growth. Join us to make a significant impact in a supportive environment that values your contributions.

Benefits

Training and development opportunities

Flexible work options

Paid volunteer days

Comprehensive benefits package

Mental health support

Qualifications

• 5+ years of experience in data engineering with modern data platforms.
• Experience implementing data solutions, preferably in Azure.
• Advanced knowledge of ETL processes and data warehousing concepts.

Responsibilities

• Execute data extraction, cleaning, and reconciliation.
• Contribute to building data solutions and APIs.
• Communicate findings effectively to stakeholders.

Skills

Data Engineering

ETL Processes

Data Modeling

SQL

Azure

Critical Thinking

Communication Skills

Education

Post-secondary education in Information Technology

Computer Science or related discipline

Tools

Azure Data Lake Storage (ADLS)

Azure Databricks

Terraform

GitHub

Spark

Job description

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Company: CGL

Department: IT

Employment Type: Regular Full-Time

Work Model: Hybrid

Language: This role operates in English

Additional Information: This/these role(s) is/are currently vacant

The Opportunity

We are a leading Canadian financial services co-operative committed to being a catalyst for a sustainable and resilient society and our team is essential to deliver on this strategy. That’s why we prioritize our people, to ensure we provide a strong culture and development opportunities which enables our team to thrive and to live our purpose. The best part is that you will work with people that care passionately about you, our clients, and our communities.

Our Information Technology team aspires to be a leader in applying technology to power business strategies. We connect concepts with solutions to create value and efficiencies for our clients, employees, and communities. Our success is driven by our skilled and diverse team who are passionate about excellence, innovation, and agility.

The Sr Data engineering Specialist drives the development and optimization of data products, ensuring the reliability and performance of ETL processes. This role requires a high level of autonomy in managing complex data pipelines, the ability to collaborate with key partners, and to support junior team members while delivering high-quality data for analysis and decision-making.

How You Will Create Impact

• Execute data extraction, cleaning, reconciliation and assess its characteristics, such as data quality.
• Use data engineering tools for data querying (ex: SQL), data handling (ex: pySpark, stored procedures), data storage (ex: ADLS).
• Contribute to building data solutions (data pipelines, APIs and more).
• Bring data to visualization tools by implementing the semantic layer.
• Proactively apply performance optimizations and monitoring of data solutions, such as alerts.
• Use DevOps platforms (ex: GitHub) and manage infrastructure deployments through code (ex: Terraform).
• Configure and use continuous integration and deployment (CI/CD) pipelines, and our infrastructure (ex: Databricks environments) to properly develop and deploy data solutions.
• Promote and comply with security requirements on the platforms and environments used by our data solutions.
• Identify opportunities to collaborate, innovate, and make data-driven decisions, with the ultimate goal of bringing value to the business.
• Follow governance and security guidelines when handling data.
• Partner with business and technology stakeholders to drive business value.
• Effectively communicate findings to colleagues and a business audience, and demonstrate influence.
  
  
  

How You Will Succeed

• You have an innovative mindset to improve operational efficiencies and ability to influence change, with a primary focus on client needs.
• You use critical thinking skills to recognize assumptions, evaluate arguments, draw conclusions and proactively propose solutions.
• You have strong communication skills to clearly convey messages and explore diverse points of view.
• You build trusting relationships and provide guidance to support the development of colleagues.
  
  
  

To Join Our Team

• 5+ years of experience in data engineering with experience in building modern data platforms and data products.
• 5+ years of experience implementing data solutions. (Azure preferred).
• You have completed post-secondary education in Information Technology, Computer Science or a related discipline.
• Experience with distributed computing (ex. Spark) and infrastructure as code (ex. Terraform) is a major asset.
• You have advance knowledge of data modeling, ETL processes, data warehousing concepts, and best practices in data engineering and analytics.
• Advance knowledge of cloud security and networking is an asset.
• Hands-on experience with machine learning technologies is an asset (ex. Azure ML).
• Hands-on experience with Azure PaaS is an asset: Azure Data Lake Storage (ADLS), Azure Databricks, Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse, Event Hub, API Management (APIM), Azure Key Vault, Azure SQL, and Purview.
  
  
  

What You Need To Know

• You will travel regularly.
• You will be subject to a Background check as a condition of employment, in the event you are the successful candidate.
  
  
  

What’s in it for you?

• Training and development opportunities to grow your career.
• Flexible work options and paid time off to support your personal and family needs.
• A holistic approach to your well-being, with physical and mental health programs and a supportive workplace culture.
• Paid volunteer days to give back to your community.
• In addition to our competitive salary and incentive programs, eligible employees also benefit from a comprehensive total rewards package including group retirement savings plans, pension and benefits (e.g., health and wellness, dental, disability and life coverage), mental health support and an employee assistance program.
  
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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