Senior Data Developer

Teck Resources Limited; Vancouver; On-site; CAD 122,000 - 150,000; Full time

Job summary

Teck Resources Limited in Vancouver seeks a Senior Data Developer to support reliable site data for Operations performance reporting and analytics. You will enable access to high-quality, well-structured data and ensure data is reliable and fit for purpose.

You will standardize site data for OKRs, analytics, and the Operations Data Platform program, collaborating with data scientists, product owners, and engineers to deliver scalable data solutions.

Qualifications

• Bachelor's degree in CS, analytics, data science, or a related field.
• 8+ years of experience developing data and analytics solutions.
• Experience building production-grade data pipelines and cloud-based data solutions.
• Strong proficiency with Python and SQL.
• Experience with Databricks/Spark/Azure Data Services or similar platforms.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent verbal, written, and interpersonal communication skills.

Responsibilities

• Be a courageous safety leader by adhering to and promoting safety, environmental, and operational standards.
• Develop and maintain data processing solutions using Python and SQL for ingestion, transformation, and analytics, leveraging Databricks, Spark, Apache Kafka, Azure Event Hubs, PostgreSQL, MSSQL and distributed data processing frameworks.
• Build, optimize, and support ETL and ELT processes that ingest, transform, validate, and publish high-quality data products.
• Develop and maintain data models, database schemas, and curated datasets optimized for BI, reporting, analytics, and data science models.
• Work with large scale structured, semi-structured, and unstructured datasets to support enterprise data products and strategic decision making.
• Collaborate with business stakeholders, product owners, data scientists, and software engineering teams to gather requirements and translate business needs into technical solutions.
• Develop, test, deploy, and support reusable data services, APIs, libraries, and frameworks that improve development efficiency and platform consistency.
• Implement data quality, validation, monitoring, observability, and alerting solutions to ensure data reliability, accuracy, and operational excellence using Grafana and Prometheus.
• Optimize data processing workloads by improving query performance, storage strategies, partitioning, indexing, and distributed compute utilization.
• Deploy CI/CD pipelines to support reliable testing, deployment, and release of data applications.
• Support data science initiatives by developing production ready datasets, feature engineering pipelines, and scalable data infrastructure for analytical and predictive models.
• Troubleshoot and resolve issues across databases, cloud infrastructure, distributed processing platforms, messaging systems, and data pipelines.
• Produce and maintain technical documentation, data flow documentation, and operational procedures to support long term maintainability.
• Participate in code reviews and collaborate with cross functional teams to deliver secure, reliable, and high performing data solutions.

Skills

Python

SQL

Analytical thinking

Troubleshooting

Communication skills

Education

Bachelor's degree in CS/Analytics/Data Science

Tools

Databricks

Spark

Azure Data Services

Job description

Located in the heart of downtown Vancouver, between the Pacific Ocean and the Coast Mountains, Teck’s Corporate Office sits in one of Canada’s most culturally diverse cities.

Surrounded by world-renowned nature and globally inspired cuisine, the office brings together many of Teck’s corporate functions - all working toward Teck’s purpose of providing the essential resources the world relies on.

Role Overview

Reporting to the Lead, the Senior Data Developer is responsible for supporting the development of reliable site data that enables Operations performance reporting and analytics.

The role supports data science models by enabling access to high quality, well-structured operational data and ensure data is reliable, consistent, and fit for purpose.

As a key contributor to Digital and Analytics (Plant Optimization), this role helps ensure site data is standardized, trusted, and readily available to support OKRs, operational analytics, and the organization’s future transition to the Operations Data Platform Program.

Don't miss out on this outstanding opportunity to be part of one of Canada's leading mining companies and join our team!

Key Responsibilities

• Be a courageous safety leader by adhering to and promoting safety, environmental, and operational standards.
• Develop and maintain data processing solutions using Python and SQL for data ingestion, transformation, and analytics, leveraging Databricks, Spark, Apache Kafka, Azure Event Hubs, PostgreSQL, MSSQL and distributed data processing frameworks.
• Build, optimize, and support ETL and ELT processes that ingest, transform, validate, and publish high-quality data products.
• Develop and maintain data models, database schemas, and curated datasets optimized for business intelligence, reporting, analytics, and data science models.
• Work with large scale structured, semi structured, and unstructured datasets to support enterprise data products and strategic decision making.
• Collaborate with business stakeholders, product owners, data scientists, and software engineering teams to gather requirements and translate business needs into technical solutions.
• Develop, test, deploy, and support reusable data services, APIs, libraries, and frameworks that improve development efficiency and platform consistency.
• Implement data quality, validation, monitoring, observability, and alerting solutions to ensure data reliability, accuracy, and operational excellence using monitoring and visualization tools such as Grafana and Prometheus.
• Optimize data processing workloads by improving query performance, storage strategies, partitioning, indexing, and distributed compute utilization.
• Deploy CI/CD pipelines to support reliable testing, deployment, and release of data applications.
• Support data science initiatives by developing production ready datasets, feature engineering pipelines, and scalable data infrastructure for analytical and predictive models.
• Troubleshoot and resolve issues across databases, cloud infrastructure, distributed processing platforms, messaging systems, and data pipelines.
• Produce and maintain technical documentation, data flow documentation, and operational procedures to support long term maintainability.
• Participate in code reviews and collaborate with cross functional teams to deliver secure, reliable, and high performing data solutions.

Qualifications

• Bachelor’s degree in computer science, Analytics, Data Science, or a related field.
• 8+ years of experience developing data and analytics solutions.
• Experience developing production-grade data pipelines and cloud-based data solutions.
• Strong proficiency with Python and SQL.
• Experience working with Databricks, Spark, Azure Data Services, or similar cloud data platforms
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent verbal, written, and interpersonal communication skills

Pay Range: CAD $122,000 - $150,000 per year

The actual amount offered is determined based on the successful candidate’s relevant experience, skills, and competencies and considers internal equity.

Why Teck

At Teck, your work matters—to the world, to our communities and to your future.

As a leading Canadian resource company, we focus on responsibly providing the metals essential for global development and the energy transition while caring for the people, communities and land that we love. We do this guided by our values that, together, form The Teck Way.

At Teck, you’ll find purpose-driven work, a culture of respect and inclusion, and the opportunity to grow your career while helping build a better world.

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We value diversity and are committed to an inclusive, barrier-free hiring process.

Reasonable accommodations are available upon request.