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Added 7 mins ago
LM
Assistant Vice President, Executive Underwriter, Property
Liberty Mutual Canada
Vancouver, BC
- Full-time
Effective at change management and adapting to new systems and processes
Added 7 mins ago
D
Registered Psychologist (Children and Teens)
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AB · Edmonton, AB
- Contract
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Added 7 mins ago
PE
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- Full-time
Design structural systems in accordance with the National Building Code of Canada, CSA standards, and applicable provincial codes.
Added 7 mins ago
CS
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- $68,000 to $135,000 CAD / year
- Full-time
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Added 7 mins ago
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Added 7 mins ago
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- Full-time
Utilize internal systems and tools to track interactions and support client follow-ups as needed.
Added 7 mins ago
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Added 7 mins ago
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Added 7 mins ago
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Added 7 mins ago
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Added 7 mins ago
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Added 7 mins ago
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Added 7 mins ago
G
Project Coordinator - Water/Wastewater
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At Graham, one of North America’s largest general contractors, we don’t just build systems, we deliver essential projects that protect communities and sustain the environment. As part of…

Agnico Eagle Mines Limited

Data Specialist

Kirkland Lake, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 5, 2026
Experience: 5+ years’ related work experience;
Posting language: English
Posted: Nov 5, 2026

Original job description

WHAT DOES AGNICO EAGLE VALUE?

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

Canadian-based and led, Agnico Eagle is Canada's largest mining company and the second largest gold producer in the world. It produces precious metals from operations in Canada, Australia, Finland and Mexico and has a pipeline of high-quality exploration and development projects. Agnico Eagle is a partner of choice within the mining industry, recognized globally for its leading sustainability practices. Agnico Eagle was founded in 1957 and has consistently created value for its shareholders, declaring a cash dividend every year since 1983.

Agnico Eagle Mines' Macassa Mine is situated on the traditional homelands of the Apitipi Anicinapek Nation, Beaverhouse First Nation, and Matachewan First Nation. In honoring our relationships with and commitments to our Partner Nations, Agnico Eagle prioritizes the hiring of Members from these Nations. To support this commitment, members from these Nations seeking employment opportunities at the Macassa Mine are encouraged to self-identify during the job application process. This ensures that we can consider your application appropriately in line with our dedication to supporting our Partner Nations.

Want to learn more about Macassa Mine? Click here!

Your Next Challenge

You will be responsible for managing, analyzing, and maintaining operational and business data to support informed decision-making across the site. This role develops and maintains reports, dashboards, and data models while ensuring data accuracy, integrity, and accessibility. You will work closely with operational, technical, and administrative teams to identify reporting needs, improve data quality, and provide insights that drive operational performance and continuous improvement. You will ensure that the goals and objectives are achieved while promoting and respecting Agnico Eagle’s values, Health & Safety Code of Conduct and the environment.

Work closely with Data Analysts, Data 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;
Design, 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, 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 the 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 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 on Data Cloud infrastructure environments available within the Microsoft Azure suite (Synapse, Databricks, Event Hubs and Azure Data Factory).

Your Work Schedule

Schedule: 4/3 schedule at our Macassa Mine in Kirkland Lake, ON.

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More about this job

Responsibilities

Design, build, and maintain data models, databases, data architectures, and ELT pipelines that bring together structured, unstructured, and time-series data for analytics and business intelligence. Ensure data quality, security, and performance while advising teams and supporting reliable, scalable data solutions across the organization.

Requirements

A bachelor's or master's degree in a relevant field, or equivalent data engineering training and experience, and at least five years of related work experience are required. Candidates should have strong programming, database, cloud, data pipeline, and data modeling skills, including experience with Azure data services and big data frameworks, as well as effective communication and teamwork abilities.

Skills

Python
R
Scala
SQL
NoSQL
Data Modeling
Data Engineering
Data Pipelines
ELT
Apache Spark
Microsoft Azure
Azure Synapse
Azure Databricks
Azure Event Hubs
Azure Data Factory
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Modeling
Data Lakehouse
ELT
Data Pipelines
Data Architecture
Data Ingestion
Data Extraction
Data Quality
Data Security
Business Intelligence
Analytics
Python
R
Scala
SQL
NoSQL
Apache Spark
Microsoft Azure
Azure Synapse
Azure Databricks
Azure Event Hubs
Azure Data Factory
AWS
Google Cloud
Agile
DevOps
Scrum
DataOps
Mining

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