Senior Data Engineer (Data Science)

The Globe and Mail
Suite 1600, Toronto, ON, CAN
$70.8K-$102K a year (estimated)
Full-time

COMPANY OVERVIEW

The Globe and Mail is a national icon and one of Canada's most recognized media brands. We proudly serve as a trusted destination for Canadians seeking the highest caliber of journalism, and we've garnered international acclaim for our data visualization, design, and creative storytelling.

We are committed to fostering diversity and inclusivity by reflecting all Canadians in both the stories that we tell and the composition of our workforce.

We are proud partners with organizations like Indigenous Works, Pride at Work, the Canadian Centre for Diversity and Inclusion, and we are a signatory of the BlackNorth Initiative.

Recognizing the importance of work-life balance, we offer flexible work arrangements and support programs. We also invest in our employees' growth through training and mentorship opportunities, enabling you to expand your skills and embrace new challenges.

No matter your position at The Globe, you'll be an integral part of an organization dedicated to making a positive difference in Canada. Join us.

POSITION OVERVIEW :

As a Senior Data Engineer at the Globe and Mail, you will drive the transformation and optimization of our data ecosystem to enhance innovation and strategic decision-making.

You will be a key player in architecting scalable and efficient data pipelines that support critical business functions, including editorial, subscription management, and advertising.

Working closely with our data science and analytics teams, you will integrate advanced analytics and machine learning models into our infrastructure, unlocking actionable insights from our governed data.

Your role will ensure that our systems not only address current operational needs but also align with our long-term business objectives, enhancing predictive capabilities and securing a competitive edge in the digital publishing landscape.

KEY RESPONSIBILITIES :

  • Data Infrastructure Mastery : Leverage Snowflake, AWS, and Databricks to design and implement robust data pipelines that seamlessly integrate across diverse environments.
  • Problem-Solving Excellence : Collaborate with data scientists, ML engineers, analysts, and business stakeholders to devise elegant solutions for complex data challenges.
  • Data Stewardship : Implement encryption, access controls, and compliance measures to safeguard data. Contribute to defining the organization's Data Governance framework and champion data democracy and literacy.
  • Performance Optimization : Fine-tune queries, indexing, and ETL processes to transform raw data into actionable insights with maximum efficiency.
  • AI Enablement : Manage, prepare and structure data to support ingestion by machine learning models, enabling our AI initiatives.
  • Data Champion : Promote a culture of continuous improvement, automation, and efficiency across data teams. Mentor team members and drive knowledge sharing throughout the organization.

QUALIFICATIONS :

  • Data Architecture : Proven expertise in designing and implementing scalable data architectures, with a strong focus on data lakes and data warehouses, particularly using Snowflake and Redshift.
  • ETL and Data Pipelines : Proven experience in building and optimizing ETL pipelines using tools like Airflow, NiFi, or custom Python scripts.

Ensure data workflows are reliable, scalable, and performant.

Cloud Platforms : Hands-on experience with cloud services such as AWS (S3, EC2, EMR), Azure (Blob Storage, Databricks), or Google Cloud (BigQuery, Dataflow).

Utilize cloud-native services for data storage, processing, and analytics.

  • Data Governance : Deep knowledge of data governance frameworks and best practices. Experience in implementing data security, privacy, and regulatory compliance measures (, Quebec Bill 64) using DataOps principles.
  • Programming and Optimization : Advanced proficiency in Python for scripting and data analysis, SQL for querying and optimization, and optionally Scala or Java for big data processing frameworks like Spark.
  • Collaboration and Communication : Strong interpersonal and communication skills to collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders.

Ability to translate complex technical concepts into clear business insights and requirements.

WHY CHOOSE THE GLOBE :

The Globe’s mission is to deliver essential content news, information, analysis and insights for aspiring individuals and strong communities.

The Globe is committed to providing a respectful and inclusive workplace that upholds our values of integrity, collaboration, innovation and accountability.

As Canada’s most respected media brand The Globe is dedicated to making a difference to Canada and you can make a difference by working with us.

WE OFFER :

  • Competitive compensation to ensure we hire, retain and reward team members
  • Hybrid work environment that promotes work-life balance
  • Generous vacation and flexible work arrangements
  • Parental leave top-up
  • Competitive health and dental benefits
  • Defined Benefit pension plan
  • Annual wellness subsidy
  • On-site chiropractor and registered massage therapist
  • Employee and family assistance program
  • Free digital subscription to and 40% off other Globe products
  • Education assistance for external training courses

SUPPORTING YOUR GROWTH :

We are committed to creating equitable opportunities for all employees, to enable everyone to reach their full potential.

This commitment is embedded in our strategic plan and core values.

  • There are lateral and upward advancement opportunities for rewarding and developing careers.
  • We believe in mentorship and collaborative peer-to-peer learning and have both formal and informal programs in place to encourage knowledge-sharing.
  • We support continuing education and provide both internal and external opportunities for training and development.
  • 30+ days ago
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