Senior Data Engineer

Job Type: Full-time | Location: Vancouver | Department: Technology | Reporting to: Associate Director, Operations | Work Location Type: #hybrid 

IREN is a leading AI Cloud Service Provider, delivering large-scale GPU clusters for AI training and inference. IREN’s vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the U.S. and Canada.

With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high-performance compute. We believe that human progress is invaluable, but it should be done in the right way – responsibly, sustainably and having a positive impact on the communities we operate in.    

• Bachelor’s degree in Software Engineering, Computer Science, Data Science, or a Data / Business Analytics 
• Minimum of 8+ years of experience as a Data Engineer, preferably in high-performance industries such as bitcoin mining, fintech, or energy.
• Strong command of Python, with experience building robust, production-ready pipelines and Airflow DAGs.
• Solid understanding of SQL, with ability to write efficient queries and optimize database performance.
• Experience working with databases such as Postgres and ClickHouse, with optional knowledge of Views, Materialized Views, Dictionaries and ClickHouse cluster workload distribution.
• Hands-on experience with workflow orchestration tools such as Apache Airflow.
• Proficiency in designing and maintaining scalable ETL/ELT pipelines.
• Knowledge of data modelling, data quality and reliability best practices.
• Exceptional attention to detail and ability to deliver under tight deadlines in a fast-paced, 24/7 operational environment.
• Team player with strong desire for growth and development.
• Superior time management and multitasking skills with a strong sense of urgency.
• Experience with problem solving in complex projects that have a company-wide impact.
  
  

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• Design, implement and maintain scalable data pipelines to support reliable collection, transformation and storage.
• Build and optimize ETL/ELT workflows using Apache Airflow for scheduling and orchestration, including authoring and maintaining Python-based DAGs.
• Develop, manage and monitor data integrations across various internal and external systems.
• Work closely with operations and development teams to understand requirements and deliver clean, usable datasets. 
• Maintain and optimize data warehouses and time-series databases (e.g. Clickhouse, InfluxDB, Postgres). 
• Implement monitoring and alerting systems to track data pipeline performance and health.
• Troubleshoot issues in production data pipelines and ensure quick resolution of data-related incidents.
• Document processes, workflows and data models to support long-term maintainability
  
  

• The expected base salary for this role starts at $120-155K annually CAD. 
• Actual compensation will be determined based on factors such as experience, qualifications, and market data for the region.
• Total Compensation package may be inclusive of annual incentive bonus, and equity (long-term incentive)
• Relocation assistance (as appliable and based on successful candidate circumstances) 

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• Medical, dental, and vision insurance coverage – 100% company paid for employees and dependents
• Company-paid life and disability insurance
• Voluntary life and critical illness coverage available
• Employee Assistance Program and virtual health care platform 

• RRSP with company match
• Voluntary TFSA

• 3 weeks annually for vacation and paid holidays
• Flexible Work Arrangements 

• Opportunities for advancement and internal mobility
• Training and personal development opportunities

• Company events and team-building activities

Podtech Data Centers Inc., the employing entity and proud member of the IREN Group is an equal opportunity employer that is committed to creating an inclusive workplace. We evaluate qualified applicants without regard to race, colour, religion, age, sex, sexual orientation, gender identity, genetic information, national origin, disability, veteran status, and other legally protected characteristics.