Senior Data Engineer: Lakehouse & Streaming Architect in Toronto

Senior Data Engineer: Lakehouse & Streaming Architect in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and deliver scalable data solutions for high-volume data.
  • Company: Join Munich Re, a leader in innovative data engineering.
  • Benefits: Attractive salary, health benefits, and opportunities for remote work.
  • Other info: Collaborative environment with potential for career advancement.
  • Why this job: Lead the way in creating durable data products with cutting-edge technology.
  • Qualifications: Strong Python/Scala skills and experience in batch and streaming pipelines.

The predicted salary is between 121500 - 148500 $ per year.

Munich Re is seeking a Senior Data Engineer (DBX) to design and deliver scalable data solutions for high-volume data.

The role will lead technical design, build reliable data flows, and set engineering standards across the data lifecycle.

You will collaborate with architects, product owners, and business teams to create durable data products, with strong Python/Scala engineering skills and experience in batch and streaming pipelines.

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Senior Data Engineer: Lakehouse & Streaming Architect in Toronto employer: Munich Re Group

Munich Re is an exceptional employer that fosters a collaborative and innovative work culture, where Senior Data Engineers can thrive in designing cutting-edge data solutions. Located in a vibrant city, employees benefit from a dynamic environment that encourages professional growth through continuous learning opportunities and mentorship. With a commitment to engineering excellence and a focus on impactful projects, Munich Re offers a rewarding career path for those looking to make a difference in the data landscape.

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Contact Details:

Munich Re Group Recruitment Team

We think you need these skills to ace Senior Data Engineer: Lakehouse & Streaming Architect in Toronto

Python
Data Engineering
Problem-Solving Skills
SQL
Communication Skills
Data Pipeline Development
Data Governance