Data Engineering Manager - Retail Media Media
Toronto, Canada
Loblaw Digital
Trying new things, poking holes in old things and making great things even better for Loblaw Companies Ltd. From websites, apps and loyalty programs, to delivery services and everything in between. We bring digital experiences to life, solving...
At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make significant and lasting impact on Canadians.
As a Data Engineering Manager, you will be working within the Retail Media Platform team to build a best-in-class Ad tech solution that will allow internal and external users to create, manage and report on advertising campaigns. You will be leading a team that’s responsible for delivering the reporting metrics needed by the Retail Media Platform, maintaining data quality, and creating a proper architecture for processing and handling data.
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. We’re 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!
If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.
We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.
As a Data Engineering Manager, you will be working within the Retail Media Platform team to build a best-in-class Ad tech solution that will allow internal and external users to create, manage and report on advertising campaigns. You will be leading a team that’s responsible for delivering the reporting metrics needed by the Retail Media Platform, maintaining data quality, and creating a proper architecture for processing and handling data.
What You'll Do
- Develop complex data pipelines.
- Mentor, coach less experienced developers, through design sessions, code reviews and pair programming.
- Work through hard problems with your team and deliver consistent results.
- Think long term. Create technical roadmap for products or services your team owns.
- With your experience and judgment, influence the business on how software can enhance end user experience.
- Follow agile development principles when the situation calls for it. Use tools such as continuous integration, automated tests and automated deployments to improve product time-to-market.
- Work together with front-end developers and external development agencies.
- Have one-on-one meetings with developers.
- Provide technical systems guidance.
- Lead technical architecture for a whole component
- Lead technical architecture for component relationships.
- Conduct performance reviews.
- Provide workplace and career guidance.
- Set accountabilities for team members.
- Align the team's work with the company's strategic and tactical goals.
- Shield the team from distractions.
- Perform advanced project management duties.
- Define the long term vision for the team's component.
- Provide escalation resolution for your team.
- Establish standards for code and systems.
- Establish standards for processes and co-ordination.
- Create process for assigning decision-making responsibilities.
Does This Sound Like You?
- BA/BS in math, computer science, engineering or related field
- 2+ yrs of experience as a Data Engineering Lead
- Hands-on experience with non relational databases
- Ability to write complex SQL queries and perform analysis
- Experience in data processing using Python or Java
- Familiar with reporting tools such as Tableau, PowerBI, Looker is an asset
- Working experience with Git
- Exposure to cloud technology (GCP, AWS, Azure) is an asset
- Understanding of data warehouse concept and BI architecture
- Strong oral and written communication skills
- Solid stakeholder management skills
- Proven team player that will work well in a dynamic and fast-paced environment
- Experience working in an agile environment
- Experience in retail or ecommerce is a plus
- Strong desire to learn and to push the boundaries of what can be done to better empower our business with data
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. We’re 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!
If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.
We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Categories:
Deep Learning Jobs
Engineering Jobs
Leadership Jobs
Tags: Agile Architecture AWS Azure Computer Science Data pipelines Data quality Data warehouse E-commerce Engineering GCP Git Java Looker Mathematics Pipelines Power BI Python RDBMS SQL Tableau
Perks/benefits: Career development
Region:
North America
Country:
Canada
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Data Engineer II jobsPrincipal Data Engineer jobsPrincipal Data Scientist jobsData Manager jobsContent writer - Freelance AI Tutor jobsWriter - Freelance AI Tutor jobsData Science Manager jobsData Scientist II jobsJunior Data Analyst jobsResearch Scientist jobsBusiness Data Analyst jobsSr. Data Scientist jobsSr Data Engineer jobsSenior Machine Learning Researcher jobsSoftware Engineer, Machine Learning jobsBI Analyst jobsLead Data Analyst jobsData Science Intern jobsJunior Data Engineer jobsCopywriter - Freelance AI Tutor jobsData Engineer III jobsBusiness Intelligence Engineer jobsData Analyst II jobsAzure Data Engineer jobsMLOps Engineer jobs
Economics jobsLinux jobsSnowflake jobsHadoop jobsOpen Source jobsRDBMS jobsPhysics jobsJavaScript jobsBanking jobsComputer Vision jobsMLOps jobsData Warehousing jobsScala jobsKafka jobsGoogle Cloud jobsNoSQL jobsAirflow jobsSAS jobsData warehouse jobsOracle jobsClassification jobsKPIs jobsPostgreSQL jobsStreaming jobsScikit-learn jobs
GitHub jobsR&D jobsLooker jobsScrum jobsData Mining jobsTerraform jobsCX jobsPySpark jobsPandas jobsDistributed Systems jobsJira jobsIndustrial jobsRobotics jobsReact jobsRedshift jobsBigQuery jobsMySQL jobsJenkins jobsMicroservices jobsUnstructured data jobsMatlab jobsdbt jobsE-commerce jobsData strategy jobsGPT jobs