Senior Data Developer

Teck Resources Limited

$122K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

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.

Responsibilities

  • Promote safety and adhere to environmental and operational standards.
  • Develop and maintain data processing solutions using Python and SQL.
  • Build and optimize ETL and ELT processes for high-quality data products.
  • Develop and maintain data models and database schemas optimized for analytics.
  • Collaborate with stakeholders to translate business needs into technical solutions.
  • Develop and support reusable data services and APIs for efficiency.
  • Implement data quality and monitoring solutions for reliability.

Benefits

  • Hybrid workplace model to support work-life balance.
  • Engagement with a leading mining company in Canada.
  • Opportunity to contribute to significant data infrastructure initiatives.
  • Emphasis on safety and operational standards in the workplace.
  • Supportive and inclusive hiring process with reasonable accommodations.
Full Job Description
8/11/26

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Job Description

Senior Data Developer

Location: Vancouver, BC, Canada
Employment Type: Regular Full Time
Workplace Type: Hybrid

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.

Apply with us

Take the next step in your career by applying for the Senior Data Developer role. We review applications on a rolling basis and encourage you to apply, even if your background doesn't match every requirement.

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

Reasonable accommodations are available upon request.

Requisition ID: 54381 | Job Category: Technology | Employment Type: Regular Full Time | Location: Vancouver | Workplace Type: #LI - Hybrid

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Information at a Glance

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Posting Start Date: 8/11/26

Job Category: Technology

Job Type: Regular Full Time

Career Status: Experienced

Workplace Type: Hybrid

Job Category: Technology

Job Type: Regular Full Time

Career Status: Experienced

Workplace Type:

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