Data Engineer

Munich Re Specialty - Global Markets
Manchester
1 month ago
Applications closed

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About us

At Munich Re Specialty – Global Markets (MRS-GM), it is our ambition to become the leading Primary Specialty Insurance provider, underpinnedby an effective and adaptablestrategy,superior products and industry leaders working in a supportive environmentto achieve this.


At the heart of our success is a strong culture where people are encouraged to be present, bold and curious, allowing them to achieve their individual goals.


Data Engineer

We are currently looking for a Data Engineer to be based in Manchester on a full‑time basis, reporting into the Head of Subsection – Data and Analytics.


This exciting role is a high impact position needed to support the delivery of large data programs within MunichRE’s Global Specialty Organisation (GSI). This role will help the organisation to implement what is needed to deliver our strategic data platforms. Work will include, but not limited to the end to end support for acquisition, integration, transformation and secure storage of mission‑critical data.


Responsibilities

  • Strong hands on skills that can be leveraged directly in the deliverable and / or ensuring that their team is effectively working.
  • Passionate about solving problems, enjoy connecting the dots between data, strategy and analytics, obsess with generating tangible benefits and high performance.
  • Strong influencing skills and experience with a track record of empowering people to execute efficiently towards a common and understood goal.
  • Ability to successfully juggle multiple, competing priorities and coordinate multiple tasks to ensure that work output from others is delivered on‑time and accurately while operating in a fast paced and rapidly evolving environment.
  • Advanced verbal and written communications skills, as well as active listening, along with teamwork and presentation are essential.
  • Communicate clearly, effectively, and concisely, both verbally and in written form.
  • Extensive hands on experience in SQL, Python, Data Integration / Ingestion and associated patterns – ETL tooling – Informatica IICS, ADF, Notebooks, Databricks, Delta Lake, Warehousing technologies and associated patterns, Cloud platforms – Azure preferred.
  • Building and maintaining data models(Logical and Physical) including dimensional and entity‑relationship models
  • 10+ years of experience and in-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process
  • Prior experience in insurance and / or reinsurance in support of specialty lines is a plus.
  • Experience with on‑prem and cloud versions of databases such as Oracle and SQL Server.

Knowledge and Skills

  • Experience with Agile delivery frameworks / methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, AzureDevOps).
  • Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner.
  • Experience with mass ingestion capabilities and cloud process flows, data quality and master data management
  • Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred
  • Industry certifications in Azure, Databricks or data architecture is advantageous
  • Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps)
  • Experience in migrating data and associated systems from on‑prem to Cloud environments
  • Consulting and collaborative working style creating a culture of accountability and sharing.
  • Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus.
  • Excellent verbal and written communication coupled with negotiation skills.
  • Ability to work in a demanding and fast‑paced environment.
  • Lloyds / Company Market (re)insurance experience with a good knowledge of London market or specialty insurance data domains and terminology is required
  • Understanding of insurance domain concepts with hands‑on experience in data modeling is required
  • Knowledge of data warehousing and ETL / ELT pipelines

If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!


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