SonicJobs Logo
Left arrow iconBack to search

Data Modeller- Insurance

Lorien
Posted 20 hours ago, valid for 22 days
Location

London, Greater London EC1R 0WX

Salary

£50,000 - £60,000 per annum

info
Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • We are seeking a Data Modeler with Azure Synapse Analytics experience for a 6-month contract in the insurance sector.
  • The role requires at least 4 years of experience in data modeling and data engineering, specifically with Azure cloud services and big data technologies.
  • Responsibilities include developing and optimizing data models, integrating data from various sources, and ensuring data model accuracy and performance.
  • The position offers a competitive salary, and candidates with knowledge of the insurance domain and relevant certifications will be preferred.
  • Interested applicants are encouraged to apply as Carbon60, Lorien & SRG are acting as an Employment Business for this vacancy.

Data Modeler- Insurance

We are currently hiring for a Data Modeler with Azure Synapse Analytics experience to join one of our Insurance clients on a 6 month contracts.

Inside IR35

Remote

Responsibilities:

  • Develop, maintain, and optimize semantic data models using Azure Synapse Analytics.
  • Design data models that integrate data from Azure Data Lake Storage Gen2, Azure SQL databases, and other sources for consumption in Power BI and Synapse SQL pools.
  • Build and maintain dimensional and relational models based on the business requirements.
  • Ensure data model accuracy, scalability, and performance.
  • Use PySpark within Azure Synapse notebooks to extract, transform, and load (ETL/ELT) data from raw formats (e.g., Delta, Parquet, CSV) stored in ADLS Gen2.
  • Integrate data from Azure SQL databases and other sources into unified data models for analytical use.
  • Implement data transformation pipelines and workflows in PySpark.
  • Partner with DevOps teams to deploy and maintain data models in production environments.
  • Optimizing data models from various sources such as Azure SQL databases and Azure Data Lake Storage Gen2 for usage in Power BI
  • Ensure efficient querying of large datasets and troubleshoot any performance issues related to data retrieval or processing.
  • Create and maintain detailed documentation and schematics of data models, metadata, and processes using suitable tools, such as Visio.
  • Develop and enforce data governance and data modeling standards to ensure consistency and accuracy across all models.
  • Ensure all data modeling practices adhere to security and compliance requirements, including role-based access control, encryption, and data privacy laws (e.g., GDPR).
  • Applying RL/CL/OL security within the data models as defined by business use and target audience

Experience:

  • Insurance domain knowledge a plus, especially if experience is in Property & Casualty
  • Knowledge of machine learning and advanced analytics within the Azure ecosystem (e.g., Azure ML).
  • Familiarity with Data Governance practices in conjunction with Azure Purview (data lineage, data categorization, and data certification)
  • Certifications such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert.
  • Experience:
  • Experience in data modeling and data engineering roles, with at least 4+ years of experience working with Azure cloud services and big data technologies.

If this role is of interest to you or you would like to learn more, please apply now!

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.