Data Engineer

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At Agnico Eagle, our values never waver. We believe in trust, respect, equity, family and responsibility. Why? Because they express who we are, and they have helped us succeed in business for over 60 years. We value you – your unique set of skills and experience. We value your willingness to build those skills and make a meaningful contribution to our company. And, we value your commitment to treat every person on our team with respect, helping us to operate safely, protect the environment and make a positive contribution to our local communities.

ABOUT OUR OPERATION

When hiring we look at your credentials, but what about ours? The Harvard Business Review ranks Agnico Eagle as one of the world’s 100 best-performing companies; we are included in the FTSE4Good Index, which ranks companies on their environmental, social and governance (ESG) performance; and have been recognized as one of the Best 50 Corporate Citizens in Canada.

We employ over 9,000 people worldwide, with operations that span the globe. Our people enjoy exciting international careers as miners, geologists, environmental managers, financial analysts, community advisors and so much more. We operate with the highest performance standards, with minimum environmental impacts, and within accepting communities.

We are committed to developing the next generation of leaders as we enter one of the most exciting periods of growth in Agnico Eagle’s history. Will you join our team?

In compliance with the Accessibility for Ontarians with Disabilities Act, Agnico Eagle Mining (AEM) is committed to providing accommodation for people with disabilities. Accommodation is available, upon request, for candidates participating in the recruitment process.

YOUR NEXT CHALLENGE:

The Digital Transformation team acts as a center of excellence to enable strategies for data integration and analysis that significantly enhances the efficiency and effectiveness of the business. This team works as a company-wide enablement team collaborating with operational partners to ensure data in the organization is well-organized, secured, and easily accessible on robust data platforms that support both business intelligence and advanced analytics.

By designing and implementing data systems that align with the business's current and future needs, the team will empower data-driven decision-making and strategic planning. The team will also play an important role in workforce data skills development, providing training and support to other members of the organization to improve their data literacy and ability to use data tools, thus enhancing the overall data culture of the business.

Your Contribution:

Reporting to the Business Intelligence General Supervisor, you’ll be part of the Digital Transformation department. You’ll ensure that identified objectives are achieved while promoting and respecting Agnico Eagle’s values, code of conduct concerning health and safety and environment.

The Data Engineer will be part of a multi-disciplinary team whose objective is to generate insight from existing operational and technical data sets, as well as develop tools and use advanced analytics to extract the maximum value from them.

As a Data Engineer, you’ll actively contribute to designing and developing data solutions that meet the needs of operations and end users. Those solutions will improve and streamline operational processes, gain insight from large structured and unstructured data sources, and increase profitability of the business.

You’ll collaborate with the other members of the Digital Transformation team (other Data Engineers, Data Analysts, Solutions Engineers, Data Scientists, and Subject Matter Experts) as well as other disciplines within the company to ensure requirements are met, standards are upheld, all testing is performed, and appropriate technical documents are created for the developed and implemented solutions.

• Work closely with Data Analysts, Solutions Engineers, and mining domain experts to understand their data needs and deliver suitable solutions.
• Design optimized data models from various data sources to meet business needs.
• Create and manage datasets and databases to meet the data needs of the organization.
• Develop, construct, test, and maintain data architectures and processing systems.
• Develop and implement processes for data acquisition, ingestion, and extraction from varying data structured, unstructured, and time-series sources.
• Build ELT (Extract, Load, Transform) pipelines to facilitate the flow of data from various sources to the data lakehouse or other destinations.
• Provide technical review and feedback to the data analysts and junior data engineers.
• Perform and support data modeling and prepare data for analytics and business intelligence (BI) applications.
• Implement data quality checks and validations to ensure the accuracy and reliability of data.
• Implement data security measures, ensuring compliance with company cybersecurity requirements and best practices.
• Optimize data retrieval and cloud computing resources to support high-performance data visualization applications to improve system performance and usability.
• Provide technical expertise and support related to data engineering to different teams within the organization.
• Stay updated with the latest industry trends and technologies to improve data engineering processes and systems.
• All other ad hoc duties as requested.

WHAT YOU NEED TO SUCCEED

• A Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or equivalent Data Engineering training and experience in a related field is required.
• 5+ years’ related work experience.
• Proficiency in languages and software frameworks commonly used in data manipulation and analysis, such as Python, R, or Scala is essential.
• Knowledge of SQL and NoSQL databases, and the ability to create and manage large and complex data lakehouse systems.
• Familiarity with data lakehouse solutions and ELT (Extract, Load, Transform) tools within the Microsoft and Azure ecosystem.
• Experience with big data processing frameworks like Apache Spark.
• Proficiency in using cloud services such as AWS, Google Cloud, or Microsoft Azure for data processing and storage.
• The ability to design, build, and maintain efficient, scalable, and reliable data pipelines.
• Skills in data modeling and structuring unstructured data for analysis.
• The capacity to solve complex problems, particularly in debugging and improving data systems.
• Ability to work effectively in a team and communicate complex data concepts to non-technical stakeholders.
• Willingness to keep up-to-date with the latest trends and advancements in the field of data engineering.
• Experience with Agile development methodologies (DevOps, Scrum, DataOps).
• Demonstrated knowledge of Data Cloud infrastructure environments available within the Microsoft Azure suite (Synapse, Databricks, Event Hubs, and Azure Data Factory).
• Ability to effectively communicate in French and English (oral and written) is preferred.
• Availability and interest in travelling to the Company's project and operational sites.

Core Competencies

• Ability to work independently and multi-task effectively;
• Excellent interpersonal skills and ability to work in a team;
• Confidence in dealing with technical and non-technical senior level staff;
• Data-oriented personality, great communication skills, and an excellent eye for details.

Your Work Schedule

Depending on your location, this position offers a flexible remote work arrangement, with the expectation that you will spend 40 hours per week, and on average, 3 days per week per month at a company facility located in any of the locations below:

• CSD (Center for Support and Development), located 60km from Val-d'Or and 50km from Rouyn-Noranda
• Mirabel office located 60km northwest of Montreal
• Corporate Head Office located in Toronto, ON
• Occasional visits to operating mine sites may also be required