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Munich Re

Senior Data Engineer (DBX)

Toronto, ON, Canada

Experience: 10+ years of data engineering experience, including senior technical ownership.
Posting language: English
Posted: Sep 22, 2026

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Original job description

Position Overview

Munich Re is a global market leader in re-insurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the expertise of our IT & Tech specialists, and by leveraging data and insights to support innovation and client service. We are therefore making targeted IT investments and helping our insurance clients and partners to tackle problems in the modern digital world with innovative and forward-looking solutions.

As a Senior Data Engineer (DBX), you will design and deliver scalable data solutions for high-volume, complex data. You will lead technical design, build reliable data flows, and establish engineering standards across the data lifecycle.

Please note that the internal job title for this position is Senior Application Developer.

Your Role:

Design scalable lakehouse and big-data architectures on DBX.
Build and optimize batch and streaming data flows using distributed data processing frameworks, Delta Lake, 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.

Your Profile:

University degree in Computer Science, Engineering, Data, or a related field, or equivalent experience.
10+ years of data engineering experience, including senior technical ownership.
Deep hands-on experience with DBX, distributed data processing frameworks, Delta Lake, and SQL.
Proven experience designing big-data and Lakehouse architectures at scale.
Experience building reliable batch and streaming pipelines and complex data flows.
Strong Python or Scala engineering skills, including reusable frameworks and performance tuning.
Expertise in dimensional modelling, data contracts, schema evolution, and data quality controls.
Experience with orchestration, CI/CD, version control, automated testing, and infrastructure as code.
Knowledge of cloud data services, identity, access control, encryption, and secrets management.
Experience implementing monitoring, lineage, auditability, and production support practices.
Ability to assess trade-offs and communicate architecture decisions clearly.
Demonstrated technical leadership, mentoring, and stakeholder management.
Experience working with distributed teams across locations and time zones.

About Munich Re

Together, we engage with everything we have and are, to help humankind act braver and better.

As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.

Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.

What Can We Offer You?

We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include:

An engaging and collaborative environment that promotes continuous learning and development
A hybrid work environment that combines weekly in-office and remote days
A great compensation package including annual company bonus
Market leading company-paid flexible health and dental benefits, starting on your first day
Flexible dollars provided by the company to put towards Health Spending Account and/or Wellness Spending Account
Immediate participation in DC Pension Plan with an automatic employer contribution, plus optional company match
Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days
Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional fees
Maternity, Parental & Adoption Leave top-up program
Employee Referral Program, Recognition & Rewards Platform

Our base salary range for this role is between $135,000 and $160,000 per year, plus an opportunity for an annual company bonus based upon a percentage of eligible pay. The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to internal equity.

This role is located in our Toronto office on 390 Bay St, and we operate in a hybrid work model. This job posting is for a new vacancy.

We do not use AI in our recruitment process - applications are reviewed by our team to ensure a fair and personalized experience.

Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.

Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact [email protected] as soon as practical so that suitable accommodations can be arranged.

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More about this job

Responsibilities

You will design and deliver scalable lakehouse and big-data architectures while leading technical design and engineering standards. Additionally, you will build and optimize data flows and partner with cross-functional teams to translate business requirements into durable data products.

Requirements

Candidates must have a university degree in a relevant field and 10+ years of data engineering experience with senior technical ownership. Deep hands-on expertise in DBX, distributed data processing frameworks, Delta Lake, and Python or Scala is required.

Skills

Data engineering
DBX
Delta Lake
SQL
Python
Scala
Big-data architecture
Lakehouse architecture
Distributed data processing
Dimensional modelling
CI/CD
Infrastructure as code
Data quality
Technical leadership
Stakeholder management
Cloud data services

Benefits

Health benefits
Dental benefits
Company bonus
Pension plan
Wellness spending account
Health spending account
Vacation
Personal days
LinkedIn Learning access
Education assistance program
Maternity leave top-up
Parental leave top-up
Adoption leave top-up
Employee referral program

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
DBX
Delta Lake
SQL
Python
Scala
Lakehouse
Big Data
Cloud Data Services
CI/CD
Infrastructure As Code
Dimensional Modelling
Data Quality
Distributed Systems
Streaming Pipelines
Batch Processing
Schema Evolution
Identity And Access Control
Encryption
Monitoring
Lineage
Auditability
Technical Leadership
Stakeholder Management
Reinsurance
Insurance
Digital Solutions
Risk Management
Software Engineering
Architecture

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