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Job Snapshot

Employee Type - Full-Time EmployeeExperience - Not SpecifiedIndustries - Engineering

Description

Backend Data Engineer,  Machine Intelligence Retention

CBC Digital Products is the country’s biggest digital innovator, taking on the challenges of defining how media is made, sent and received. We are also part of Canada’s oldest and truest broadcasting company. We are trying new things. We are growing. As an entity of our own. As a voice for our country. As a team.

Digital is a part of our present and all of our future. CBC’s strategy is focused on becoming a digital-first organization that provides a digital platform for storytellers. Our mission is to engage our audience with stories they care about.

The opportunity

The Machine Intelligence Retention team has a vision to enable better decisions through big data. As part of CBC's initiative to reach all Canadians, our data platform is becoming the central hub for data insights and analysis that other teams can rely on as we continue to join disparate pieces of data together. Our goal is to build a product that identifies the drivers behind loyalty and retention for audiences and provides information to CBC content producers about their audiences. 

Reporting to the Senior Manager, Data Science, and Machine Intelligence, we are adding a Backend Data Engineer  to play a critical role in the design and implementation of a middle tier for our powerful data management platform. As we move towards developing insights and recommendations in real-time, our team is looking for someone who is passionate about Machine Intelligence, confident in their capabilities, and eager to innovate. New project work that you may be involved with includes:

  • Building out a content analytics platform. You will be creating a connection between the back-end data platform with the audience facing components of our product in a scalable way.  In addition you will be creating API endpoints that enable other teams to connect to our back end.

If you're passionate about Canada and you love technology, learning, and bringing out the best in others, you'll love working at CBC. 

Who you are

You are a developer with software and data engineering skills along with strong middle layer implementation skills and a deep understanding of front end and backend components. You have hands-on experience designing and building scalable infrastructure to support robust data platforms. You are passionate about data distribution. You may be at a startup or a corporate innovation lab. Either way, you are seeking an opportunity to make a measurable impact. You want to apply your expertise scaling solutions that enable the application of real-time insights to improve and enhance increased engaging experiences for the 18M Canadians who visit the CBC’s digital offerings every month.

What’s in it for you

Cutting edge tech: CBC has more than 25 digital sites, all of which are mandated to reach Canadians online everywhere and every way, with equal importance on their preferences and choices regardless of location. To achieve that goal, we have built a data management platform and are now focused on enhancing the machine intelligence capabilities for more in-depth analysis and actionable insights.

Belonging. CBC/Radio-Canada is a Canadian institution. By joining and helping to build our dynamic Digital team, you will be exposed to the best of all worlds. Corporate. Public. Startup. You will be part of a team that embraces diversity and, at its core, truly cares about the country and the world, a genuinely close-knit, fun, and collaborative team that believes in supporting the work of its members. 

Career growth. The CBC is fully invested in our people. Whatever it is you want to pursue — whether it’s a new programming language, a technical solution, expanding your Agile knowledge, or building your leadership skills — we will provide you with the time, resources, and guidance that you need to keep your career here rewarding. 

How you will make a difference, you will:

  • Build and deploy scalable and robust infrastructure for backend services and good APIs.
  • Define an integrated, RESTful/SOAP API or ETL solution design with support from front-end and back-end system teams.
  • Rapidly deliver and maintain high-performance, scalable systems, tools and processes to meet the needs of our rapidly growing engineering teams.
  • Create design artifacts using RAML and JSON Schema standards.

Why join us?

CBC/Radio-Canada reflects Canadian identity and promotes democracy. Our digital team’s values - collaboration, learning and continuous improvement - embody who we are as a people-focused, digital-forward employer. We offer a rare-in-tech work-life balance with flexible schedules, and excellent benefits package; we want you to be happy in and out of the office.

Collaboration. We follow lean startup principles and use an Agile approach. Our dedicated people managers work closely with every individual to ensure we are leveraging their strengths, championing their ideas and supporting their pursuit of new skills and career progression.

Learning. From simply buying a book or recommending a course to one-on-ones, our leadership team is focused on creating an atmosphere where people feel fulfilled. Our team members are given opportunities to learn and work cross-functionally across multiple projects.

Continuous improvement. What can you innovate in 8 hours a week? Our Digital department at CBC recognizes just how smart, creative and inventive our team members are. From prototyping new UI/UX to setting up dev environments to experiment on and learning new programming languages to creating improved search functions for our media. Wherever your interests lie, your 20% time is yours to allocate in a productive and professionally gratifying way.

What you bring:

  • The education. You have a Master's degree in Computer Science or Science. A Bachelor's degree will be considered in combination with your other qualifications.
  • The hands-on experience. You have 2+ years developing APIs and 1+ year on the Data Engineering side of a machine learning platform development. You have exposure to machine learning-as-a-service architecture for data preparation. You are familiar with:
    • The components and infrastructure needed for machine learning.
    • Developing APIs, including the integration of endpoints.
    • Python, SQL, GCP, ETLs.
    • Big data/ Real-time data.
    • Cloud deployment, ideal but not mandatory. 
  • The knowledge. You have direct experience tackling ambiguous technical challenges and designing solutions from scratch. You can explain why different technologies and processes are needed, not just how they work. You have insights gained from lessons learned and the knowledge to support your recommendations. 
  • The passion and innovation. You are passionate about big data and the impact real-time data-driven insights can have. You love the challenge of researching, trialling, and implementing cutting-edge solutions to complex problems. You believe in the Agile methodology deeply, but you are flexible and open to the real-world twists and turns.  
  • The communication and collaboration skills. You know how to listen and understand diverse perspectives, fostering positive relationships across teams. You thrive in a team-focused environment. 

To apply

Think this job is meant for you but worried you don’t have it all? At CBC we know that not everyone takes the same path when it comes to building their skills. You can read about the various backgrounds the talented people that make up our team bring to us here.

Hands-on experience, intelligence, innovation, a passion for learning and a team-focused approach can combine to form the best set of qualifications. If you feel you meet all or most of the qualifications we are seeking; and you are excited by the possibility of growing our company, take a chance and express your interest here.

What you can expect from our interview process:

  • A phone interview discussing your interest in the role, the team’s culture and how you can grow as an engineer and beyond within Digital Products.
  • A short technical assessment.
  • An interview via hangout with a panel of team members and your future Senior Manager during which you can ask questions, learn about our culture and growth opportunities and dive deeper into your process and how you will work with us.

In becoming the leader in expressing Canadian culture and enriching democratic life, we need to be as diverse in every way as the country we serve, both within our workforce and on air. As an employer, we value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada's public broadcaster.

CBC/Radio-Canada is an equal opportunity employer. We are committed to providing reasonable accommodations, if required, and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please contact us.

Due to COVID-19 please expect changes to our standard recruitment process. In all instances, the safety of our employees and our candidates is of our utmost concern so we will be conducting interviews virtually and online. We will keep you informed on these changes and ensure that you are prepared in advance with the necessary instructions to conduct the next steps in the recruitment process.
 

 
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