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Just Eat Takeaway.com

Senior Data Engineer

Reposted 4 Days Ago
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Remote
Hiring Remotely in Office, Machaze, Manica
Senior level
Remote
Hiring Remotely in Office, Machaze, Manica
Senior level
Design and implement scalable ETL/ELT pipelines and data warehouse solutions using Python and SQL. Build and maintain dbt data models with Jinja, apply Kimball dimensional modeling, ensure data quality and governance, collaborate with data scientists and engineers, and apply software engineering best practices (Git, CI/CD) to support BI, reporting, and ML use cases.
The summary above was generated by AI
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

Description:

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.

Experience:
  • 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.

  • Data Modeling and Transformation: Design, develop, and maintain robust and scalable ETL/ELT data pipelines using SQL . You will be a key developer on our DBT(data build tool) project, creating modular, tested, and documented data models using SQL and Jinja. Your primary focus will be on transforming data within the data warehouse to create clean, well-structured datasets for a variety of use cases, including reporting, analysis, and machine learning.

  • 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.

  • Collaboration: Work closely with a multidisciplinary team of data scientists, data analysts, product managers, and software engineers to understand their data requirements and ensure data solutions meet business needs. You will be a key thought partner to the business, helping to define product features based on your knowledge of the underlying data.

  • 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 

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. 

What We Offer:

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 & access to our well-being support programs.

Digital Nomads: Family abroad or just want a change of scenery? Enjoy the freedom to work from almost anywhere in the world for 4 weeks a year.

Career Growth: Fuel your personal and professional evolution through our dedicated mentorship, global mobility pathways, and a wellness-first culture rooted in true diversity and inclusion.

Compensation range: $99,600.00 - $136,900.00
Final compensation may vary based on skills, experience, and internal equity.

#LI-DN1

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