Senior Data Engineer role at Munich Re Position Overview As a Senior Data Engineer, you will be responsible for building and optimizing data pipelines, data products, data services and architectures. In this role you will work closely with actuaries, data scientists, business stakeholders and other engineers to support their data needs and maximize the value of our data processing capabilities. Your Role Design and develop scalable ETL/ELT pipelines using Databricks and Azure Data Factory (ADF) for ingestion and transformation of structured and unstructured data. Implement data workflows leveraging PySpark, SQL, and Databricks for advanced data processing and optimization. Create and deliver data products and services by integrating and matching third‑party datasets with internal data using PySpark, enabling analytics, reporting, and advanced use cases. Develop CI/CD pipelines for data engineering projects, incorporating automated testing, deployment and observability tools. Optimize and troubleshoot data pipelines for reliability, scalability and performance tuning. Ensure data quality, integrity and security by implementing validation frameworks and compliance best practices. Collaborate with cross‑functional teams to translate business requirements into technical data solutions. Your Profile Bachelor’s degree in Computer Engineering, Information Technology or a related field. 6+ years of experience in technology roles such as Data Engineer, Data Analyst or Application Developer. 3+ years of hands‑on experience with Databricks, including building, optimizing and managing data pipelines. 3+ years of experience with Azure Data Factory (ADF) for designing and orchestrating ETL/ELT workflows. Proficiency with Databricks Unity Catalog for data governance, security, lineage tracking and compliance.



Skilled in Power BI for creating interactive dashboards and delivering actionable insights. Strong experience with PySpark and working with large‑scale datasets for distributed data processing. Solid understanding of data warehousing concepts, data modelling and best practices for data organization and storage. 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 recognise 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. What Can We Offer You? An engaging and collaborative environment that promotes continuous learning and development. A hybrid work environment that combines weekly in‑office and remote days with meeting‑free lunch hours and Focus Friday afternoons. 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 5% 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 skilled fees. Maternity, parental and adoption leave top‑up program. Employee referral program, recognition & rewards platform. Salary and Location Our base salary range for this role is between $166,425 and $182,275 per year, plus an opportunity for an annual company bonus based upon a percentage of eligible pay. This role is located in our Toronto office on 390 Bay St and operates in a hybrid work model. Application Notes 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 personalised experience. Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest. EEO Statement 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 as soon as practical so that suitable accommodations can be arranged. Additional Information Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Information Technology Industries: Insurance #J-18808-Ljbffr

📌 Senior Data Engineer - $166,425 - $182,275 A Year (Toronto)
🏢 Munich RE
📍 Toronto