Posted on December 9, 2020

Data Engineering Manager, Marketing Solutions

Loblaw Digital

  • Job type: Full-time
  • Hiring From: Toronto, Canada
  • Salary:
  • Category: Sales & Marketing
  • Database Administration

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, were up for the challenge. From our office in Downtown Toronto, weve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and were only just getting started.

The impact youll make

As Data Engineer within the Marketing Intelligence team, you will collaborate with peers in web analytics, data science, data platforms and business intelligence teams to advance our use of marketing technology and data analytics. You will enable marketing strategy through the building of advanced data pipelines to both push data to activate marketing initiatives and pull data to enable measurement. You will get to experience building an advanced data platform linking our wealth of media, website, transactional and loyalty datasets.

Were looking for a team player who can flex between data engineering and being a marketing solutions analyst and gets excited to grow the business by using the latest marketing technology. Our ideal candidate is a strong communicator, a creative problem solver, always curious and must have a strong understanding of how marketing technology can be leveraged to solve business problems.

What you’ll do
    • Get your hands dirty with the data and collaborate to onboard relevant and real-time marketing data sources, maintain existing pipelines & process automations
    • Partner with analysts to define and standardize business rules and create semantic data layers/feature engineering for dashboards, insights generation and machine learning models
    • Build an advanced data platform that enables customer journey analysis & use cases including but not limited to attribution modeling, CLV modeling, propensity modeling, etc.
    • Contribute to the development and integration of affinity, propensity & ML models that help us drive customer engagement and relevancy
    • Ensure that our tech stack is being utilized to its fullest by consulting with stakeholders on the possibilities and work cross functionally to enable new use cases
    • Work with vendors and marketing partners to test out new capabilities and alpha or beta programs
    • Be a champion of Marketing Intelligence across the org – increase internal adoption of automated, data-driven marketing solutions

Does this Sound like you?
    • Familiarity with the Marketing Technology Ecosystem including platform functionality and tracking & measurement capabilities and working with raw data (ex. Google/Adobe Analytics, Adobe Target/DMP, Facebook, Google ads, GMP, etc)
    • Expert with SQL and Python to wrangle, manipulate and build ETLs is a must
    • Experience analyzing and translating business needs into long-term data models
    • Have collaborated with development teams to create conceptual data models and data flows
    • Demonstrated experience transporting data to and from various marketing sources via API for marketing activation & measurement, with code deployment through Gitlab/Github (Deployment in Google Cloud Platform and using Airflow a plus!)
    • Experience owning and/or contributing to advanced analytics projects (ex. Building custom attribution models, omni-channel customer journey analysis, Propensity to buy models, etc)
    • Experience with viz tools such as Tableau, Looker, PowerBI, etc.
    • Exceptional organizational, problem solving, critical thinking and analytical skills combined with the ability to synthesize and effectively communicate technical concepts to non technical audiences
    • Demonstrated ability to manage priorities and communication with business partners while maintaining focus and working on multiple complex projects
    • Undergraduate degree, preferably in mathematics, computer science, engineering, business or related disciplines, with a sound understanding of data analytics

How youll succeed

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. Were able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. You will get to work with some of the best digital minds and will have the support of world class technologies to craft products our customers will love!

Loblaw Digital recognizes Canada’s diversity as a source of national pride and strength. We have made it a priority to reflect our nations evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct it reinforces what our customers and stakeholders expect of us.

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