Senior Data Engineer

About You:
You are a high achiever looking to thrive in a fast-paced environment. You take pride in your own work but are comfortable collaborating with a team of highly motivated individuals. You can communicate clearly and concisely with teammates and clients, and you enjoy strong company culture and camaraderie. You can navigate multiple corporate functions, including global lines of service and corporate centers of excellence. You possess strong interpersonal skills and are willing to take on diverse tasks to achieve the team’s common goal. You value personal and professional growth and are ready to take the next step in advancing your career.

If this sounds like you, well, then you will love the culture at Avison Young!

About Us:
Avison Young is a global commercial real estate brokerage and advisory firm, offering transaction, management, financial and consulting services. We’ve designed our corporate structure to best serve our clients by enhancing collaboration across our organization.

Real estate can have an enormous positive impact on people’s lives – and we’re in the business of making spaces and places work better for people. Our purpose is to create real economic, social and environmental value as a global real estate advisor, powered by people.

We care about each other and we have each other’s backs. This makes Avison Young a great place to be a client, and a great place to work. We support the whole person and their complete wellness – economic, mental and physical – because what’s best for our business comes from our people bringing their whole selves to work.

Overview:

Join our global Data Engineering team as a Senior Data Engineer, where you'll play a crucial role in designing, building, and maintaining our enterprise data infrastructure. You will be responsible for architecting and implementing scalable data solutions using modern technologies including Data Lakes, Snowflake, Apache Airflow, and Python. Your work will be instrumental in transforming raw data into actionable insights, creating efficient data pipelines, and establishing best practices for data engineering across the organization.

What we value in a Senior Data Engineer:

• Technical excellence: We believe that strong technical fundamentals combined with modern engineering practices are essential for building robust data solutions.
• Innovation mindset: You actively seek opportunities to implement cutting-edge technologies and approaches while maintaining system reliability and performance.
• Architecture vision: You can see the big picture while managing complex technical details, making informed decisions that balance immediate needs with long-term scalability.
• Team work: You mentor junior engineers, contribute to technical decision-making, and help establish engineering best practices across the team.
• Business awareness: You understand how data engineering solutions impact business outcomes and can communicate technical concepts to non-technical stakeholders.
• Global collaboration: You excel in working with distributed teams and can lead technical initiatives across different time zones.

Responsibilities:

• Design and implement scalable data pipelines using Apache Airflow for orchestration and monitoring of ETL/ELT processes
• Architect and maintain cloud-based data lake solutions, ensuring optimal performance, security, and cost-effectiveness
• Develop and optimize Snowflake data warehouse solutions, including table design, performance tuning, and access control
• Create robust Python applications for data processing, transformation, and integration
• Establish data quality frameworks and implement automated testing processes
• Lead technical design discussions and review code from other team members
• Collaborate with other stakeholders to enable efficient data access and analysis
• Design and implement CI/CD pipelines for data engineering workflows
• Implement automated deployment processes for data pipelines and applications
• Establish monitoring and alerting systems for data infrastructure and pipelines
• Lead incident response and troubleshooting for production data systems

Qualifications:

• Minimum of 5 years of experience in data engineering, with at least 2 years working on enterprise-scale data platforms
• Expert proficiency in Python programming and software engineering best practices
• Deep experience with Snowflake or similar cloud data warehouses
• Strong background in data lake architecture and implementation.
• Extensive experience with Apache Airflow or similar workflow orchestration tools
• Strong understanding of data modeling, ETL/ELT patterns, and optimization techniques
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
• Strong experience with version control systems (Git) and CI/CD pipelines (Azure Devops)
• Knowledge of data governance and security best practices
• Experience with container orchestration platforms (Kubernetes, Docker)
• Proficiency in shell scripting and automation
• Understanding of cloud security best practices and compliance requirements
• Demonstrated experience in implementing and maintaining production-grade data infrastructure

Workplace Type:

Hybrid (Minimum 3 days in the office)

Our Equal Opportunity Commitment:

Avison Young practices as an equal opportunity employer in all services locations around the world. We are committed to building and maintaining a workforce diverse in experience, skills and knowledge with uniformity in service excellence, commitment and integrity.

The firm maintains a strict policy to ensure employment opportunities are equal and do not discriminate based on race, color, religion, creed, age, sex, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, protected veteran or military service status, or any other elements protected by law.

Avison Young is committed to employing the best talent with the most fair and equitable recruitment practices. Apply with us TODAY!