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Neuron Cloud Data Engineer/Architect

Job LocationLondon
EducationNot Mentioned
SalarySalary not specified
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

We are seeking a highly skilled and experienced Cloud Data Engineer/Architect to join our team. The ideal candidate will play a critical role in designing, building, and managing our data infrastructure, ensuring the integrity and accessibility of data forall stakeholders.The Role:

  • Discover: collaborate with business experts, data analysts, and product owners to model insurance domain data structures and advise in respect to data, analytics and business intelligence technical feasibility
  • Define: define data solutions to product needs, contributing architectural artefacts to the architecture repository and maintaining these as the architecture evolves
  • Design: design scalable and reliable data solutions to support a global API first complex data integration ecosystem
  • Build: communicate data solution designs to implementation engineering teams, provide technical leadership, mentoring and solution support to the team during build, test and release cycles
  • Operate: ensure data service operations are effective and observable. Provide SME support for data service incidents and operational concerns
  • Govern: form a robust data governance capability, that integrates with agile delivery methods, and meets business objectives regarding data accuracy, security, and regulatory compliance
  • Innovate: evaluate new technologies and methodologies with innovation and continuous improvement objectives in mind
  • Citizenship: embody the startup culture of innovation, fast pace delivery, team ownership and chasing down risks
The Requirement:
  • Proven experience as a Data Architect, Data Engineer, or similar role in a technology driven organization
  • Strong knowledge of database design, document models, API definition, data pipelines, MLOps, and azure data analytics architectures.
  • Experience with cloud services (Azure) and associated technologies.
  • Proficiency in programming languages such as Python, Typescript
  • Familiarity with data modelling, data governance, and data pipeline processes.
  • Excellent problem-solving skills and attention to detail.
  • Familiarity with core solution components Mulesoft and MongoDB
Equal Opportunity EmployerAt WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves towork every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

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