Accelerant | Data Engineer

Accelerant
Manchester
3 months ago
Applications closed

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About Accelerant:

Accelerant is a data-driven, technology-powered insurance platform that empowers underwriters to better serve their insureds. Their advanced data intelligence tools are revolutionizing how underwriters share and exchange risk, with a focus on the niche needs of small and medium-sized businesses. Their risk exchange platform supports a curated network of top-tier underwriting teams, providing deep insights into insurance pools with a diversified portfolio that minimizes catastrophic, systemic, and aggregation risks. They're proud of their AM Best A- (Excellent) rating, which reflects their commitment to excellence in the insurance industry.


Accelerant is developing a cutting-edge platform to revolutionize how risk is exchanged in the future. Our Product & Technology (P&T) organization is seeking an experienced Analytics Engineer to manage high value data to provide insights, value, and security to Accelerants clientele..


How will you spend your time

  • Designing and implementing data pipelines and models, ensuring data quality and integrity.
  • Solving challenging data integration problems, utilizing optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources.
  • Building, maintaining, and optimizing our Data Warehouse to support reporting and analytics needs.
  • Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way.
  • Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics.
  • Optimizing pipelines, frameworks, and systems to facilitate easier development of data artifacts.


You will be successful if you have

  • A deep desire to build, model and maintain high value data to maximize usability and access to the insights that data generates.
  • Good experience in Kimball/dimensional modelling &/or Data Vault.
  • Several years experience in building and maintaining Data Warehouses for reporting and analytics.
  • Strong skills in SQL, Python, problem-solving and data analysis.
  • Strong background in Insurance and/or Dbt.
  • Communicate and collaborate well both on technical and product levels.
  • An eagerness to learn and collaborate with others, learn quickly and are able to work with little supervision.



If you're interested in this opportunity, please send across your CV to .

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