Senior Data Engineer: Lakehouse & Streaming Architect

Munich Re Group; Toronto; Hybrid; CAD 135,000 - 160,000; Full time

Benefits offered by this job

Hybrid work environment

Annual company bonus

Health and dental benefits

Job summary

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.

Qualifications

• University degree in Computer Science, Engineering, Data, or related field or equivalent experience.
• 10+ years of data engineering experience with senior technical ownership.
• Hands-on with DBX, Delta Lake, and SQL.
• Experience designing big-data and Lakehouse architectures at scale.
• Strong Python or Scala engineering skills and performance tuning.
• Knowledge of data quality controls, data contracts, and schema evolution.

Responsibilities

• Design scalable lakehouse and big-data architectures on DBX.
• Build and optimize batch and streaming data flows using distributed frameworks and SQL.
• Lead solution design from source ingestion through transformation, storage, and consumption.
• Establish standards for data quality, security, observability, performance, and cost.
• Guide engineers through design reviews, development practices, testing, and deployment.
• Partner with architects, product owners, and business teams to translate requirements into durable data products.

Skills

Technical leadership

Python/Scala

Data architecture

CI/CD / IaC

Education

University degree in Computer Science, Engineering, Data, or related field

Tools

DBX

Delta Lake

SQL

Job description

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.