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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