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Senior Data Engineer

External
takeaway logoTakeaway · Toronto King Street E Office
Full-timeHybridToday
CI/CDData ModelingdbtETLGitMachine Learning
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About the role

Think you have what it takes to join an elite team of software developers, engineers, and data scientists? If you want to make your mark on a national brand's industry-leading technology, Skip's Engineering Team is the place for you. They drive the innovation of Skip's platform by improving the reliability, performance, and scalability of the network. GPS tracking, real-time order processing, scheduling, and balancing are just a few of the pieces the Engineering Team integrates into Skip's world-class service. As a member of our Data team, you will be responsible for the design and implementation of software for systems that power Skip's Business Intelligence and Data Warehouse. Your experience with cloud technologies and big data provides you with the background to quickly implement changes. Your experience in data management and SQL allows you to contribute to the expanding expertise of the team and keep data components current as product features change. Your expertise in data modelling for maintaining gold layer standards (Single sources of truth) and your ability to communicate with stakeholders both technical and non-technical alike on our data products.

Requirements

  • 3+ years experience in developing big data pipelines, data warehouses, and/or software engineering
  • Strong hands-on experience with Python , SQL.
  • Experience working with multiple cloud platforms preferably Google Cloud Platform.
  • Strong in Dimensional Modeling concepts applying Kimball techniques.
  • Data Quality and Governance: Implement and champion data quality, integrity, and governance throughout the data lifecycle. You will be responsible for building quality assurance checks, documenting data processes, and ensuring observability for anomaly detection.
  • Applying Engineering Principles: Use software engineering best practices such as version control (Git), modularity, and CI/CD principles to ensure our analytics codebase is maintainable, scalable, and reliable.
  • Problem-Solving: Investigate and resolve data-related issues, proactively identifying patterns and trends to prevent future problems. You are a natural problem-solver who thrives on complex challenges.
  • At JET, this is on the menu:
  • Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
  • Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
  • Inclusion, Diversity & Belonging

Benefits

Team Vibes: Thrive in a collaborative culture where your ideas matter.Tasty Perk: Enjoy a monthly Skip spend allowance - treat yourself!More Time Off: Generous PTO with a buy and sell program with up to 5 extra days!Family First: Up to 20 weeks top up for parental leave.Premium Benefits: Flexible medical & dental insurance for you and your family.Keep Learning: Access world-class training resources to power your success.Perks Galore: Exclusive offers from Workperks from hundreds of top brands.Future Funded: RRSP contributions with diverse investment portfolios.We've Got You: We've got you covered. Access paid sick time to care for yourself or your family when life happens &Dental insuranceVision insurancePaid time offFlexible scheduleParental leave

Additional Information

Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. Location: Hybrid- 3 days a week from our Winnipeg or Toronto office & 2 days working from home Reporting to: Senior Manager, Data Engineering


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