Postuler

Publié il y a 18 jours

Senior Data Engineer (DBX)

@ Munich Re Careers

Toronto, Ontario

135k–160k $/anTemps plein10+ ans d’expérience
Postuler
SIGNAUX

En bref

Munich Re is hiring a Senior Data Engineer (DBX) to design and deliver scalable lakehouse and big-data solutions for high-volume, complex data. The role leads technical design, builds batch and streaming data flows, and sets engineering standards across the data lifecycle. The position is full-time, hybrid in the Toronto office, with a salary range of $135,000 to $160,000 per year plus an annual bonus.

Salaire :

135 000 $–160 000 $ par année

Responsabilités :

  • Design scalable lakehouse and big-data architectures on DBX
  • Build and optimize batch and streaming data flows
  • Lead solution design from ingestion through consumption
  • Establish standards for data quality, security and performance
  • Guide engineers through design reviews and deployment

Résumé des exigences :

  • 10+ years of data engineering experience
  • Deep hands-on experience with DBX, Delta Lake and SQL
  • Strong Python or Scala engineering skills
  • Expertise in dimensional modelling and data quality controls
  • Demonstrated technical leadership and mentoring

Outils et compétences

Avantages mentionnés

Assurance maladieSoins dentairesAssurance vieRégime de retraiteCongés payésCongé parentalAide aux étudesMieux-êtreCompte santé
Source et dates

Site carrière / système de candidatures · successfactors

Date publiée par l’employeur
2026-10-20
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-11-07

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience10 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationBaccalauréat (préféré)
Domaines d’étudesComputer Science, Engineering, Data
Avantages mentionnésCongés payés généreux, Horaire flexible, Congé parental généreux, Régime de retraite, Aide aux études, Prime de rendement

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Munich Re Careers

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

Munich Re is one of the world’s leading providers of reinsurance, primary insurance and insurance-related risk solutions. The group consists of the reinsurance and ERGO business segments, as well as the capital investment company MEAG. We are globally active and operate in all lines of the insurance business. Since our founding in 1880, we’ve been known for our unrivaled risk-related expertise and sound financial position. We offer customers financial protection when faced with exceptional levels of damage – from the 1906 San Francisco earthquake to the 2017 Atlantic hurricane season. We possess outstanding innovative strength, which enables us to also provide coverage for extraordinary risks such as rocket launches, renewable energies, cyber attacks, or pandemics. We’re also playing a key role in driving forward the digital transformation of the insurance industry, and in doing so have further expanded our ability to assess risks and the range of services that we offer. Our tailor-made solutions and close proximity to our customers make Munich Re one of the world’s most sought-after risk partners for businesses, institutions, and private individuals. Working at Munich Re is more than a career. It’s an invitation to tackle some of the world’s most pressing challenges. Together with our team, consisting of specialists from more than 80+ fields of expertise, we turn risks into exciting opportunities that move humanity forward. https://www.munichre.com/en/career Munich Re Careers: [email protected] Munich Re Imprint: www.munichre.com/en/service/imprint/index.html Munich Re Legal Notice: https://www.munichre.com/en/service/legal-notice/index.html Munich Re Privacy Policy: https://www.munichre.com/en/service/privacy-statement/index.html By accessing the Munich Re LinkedIn page, you agree to LinkedIn's terms and conditions and its data use policy: www.linkedin.com/legal/privacy-policy © 2000–2018 Münchener Rückversicherungs-Gesellschaft Group Communications

Abonnés LinkedIn
414 072
Personnes associées sur LinkedIn
14 941
Bureaux déclarés
  • Königinstrasse 107, Munich, Bavaria 80802, DE
  • 555 College Road East, Princeton, NJ 08543-5241, US
  • Plantation Place 30 Fenchurch Street, London, EC3M 3AJ, GB
  • 56 Perimeter Center East, NE, Suite 500, Atlanta, GA 30346-2290, US
Catégories d’activité
  • Finance
  • Risk Management
  • InsurTech
  • Insurance
Autres noms enregistrés
  • Munich Re
  • Munich Re Careers
Spécialités
  • cyber insurance
  • reinsurance
  • primary insurance
  • marine
  • special enterprise risks
  • business interruption
  • construction risks
  • life insurance
  • health insurance
  • internet of things
  • and property insurance
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Munich Re is one of the world’s leading providers of reinsurance, primary insurance and insurance-related risk solutions. The group consists of the reinsurance and ERGO business segments, as well as the capital investment company MEAG. We are globally active and operate in all lines of the insurance business. Since our founding in 1880, we’ve been known for our unrivaled risk-related expertise and sound financial…

ChampValeur
SecteurInsurance
Taille10,001+ employees
Siège socialMunich, Bavaria
Type d’organisationPublic Company
Spécialitéscyber insurancereinsuranceprimary insurancemarinespecial enterprise risksbusiness interruptionconstruction riskslife insurancehealth insuranceinternet of things
Offres sur Jobsy25
LinkedInVoir la page
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.

Emplois semblables

  • Data Engineer

    Toronto, ON

    Bank of Montreal

    2+ ansBank of Montreal needs candidates with at least 2 years of relevant experience and IT education or certification. They should have hands-on experience with ETL/ELT, data warehousing, SQL, Python, Spark and cloud data services.

    SSIS, AWS Glue, Netezza, Hadoop, Spark, JIRA

  • Senior Data Engineer

    Mississauga, ON

    Capgemini

    8+ ansCandidates need 8+ years in data engineering and warehousing, with advanced Python, PySpark and SQL skills and strong Microsoft Azure experience. Proven leadership of technical teams and experience with Spark-based big data solutions are required.

    Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Azure Data Lake Storage, Snowflake

  • Senior Data Engineer

    Toronto, ON
    Temps plein

    Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…

    5+ ans3+ gestionCandidates need 5+ years of data engineering experience and 3+ years of technical leadership, with strong SQL, Python and Azure skills and experience with Databricks. Azure Data Factory, Power BI or Microsoft Fabric experience is an asset.

    SQL, Python, Microsoft Azure, Databricks, Azure Data Factory, Power BI

  • Data Engineer II

    Brampton, ON
    Temps plein

    Loblaw

    3+ ansCandidates need 3+ years in data, software or cloud engineering with production experience. They should know Python, SQL, Git, GCP, Kubernetes, Docker, Helm, CI/CD and Apache Airflow.

    GCP, BigQuery, Google Cloud Storage, GKE, Docker, Helm

  • Senior Data Engineer (Technology Advisory)

    Toronto, ON
    Contrat

    Jarvis Consulting Group

    7+ ansCandidates need 7+ years of data engineering experience, solid Databricks and Spark development skills, and experience with Hadoop, streaming tools and cloud platforms. A university degree in a relevant STEM field and strong communication skills are also needed.

    Databricks, Spark, Hadoop, Hive, HDFS, Kafka

    Data Engineer

    Toronto, ON

    Jarvis Consulting Group

    1+ ansCandidates need a bachelor's degree in business or a similar field and about one year of compliance or similar work. Strong attention to detail, communication skills and the ability to work under pressure are also required.

  • Data Engineer

    Guelph, ON

    Royal Distributing

    2+ ansCandidates need 2 to 4 years in data engineering, analytics engineering or a strong BI role with pipeline work, plus strong SQL, Python and cloud warehouse experience, Snowflake preferred. They must have production ETL or orchestration experience and a disciplined approach to validating data.

    Snowflake, Python, Git

  • Data Engineer (Sports & Prediction Markets)

    Toronto, ON
    Temps plein

    Betstamp Ventures

    Candidates need strong backend programming fundamentals (Go, Java, C#, Rust, C++, Kotlin or server-side TypeScript), comfort with SQL and query performance, some Linux and container experience, and thoughtful use of AI coding tools. Based in Toronto or willing to relocate.

    Go, PostgreSQL, ClickHouse, Redis Streams, Dragonfly, RabbitMQ

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.