Senior Analytics Engineer

Location:Remote (United Kingdom)

About The Company:

We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their niche insurance needs, they leverage granular information on each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk.

The Role:

• Designing and implementing data pipelines and models, ensuring data quality and integrity.
• Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources.
• Building, maintaining, and optimising 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.
• Optimising pipelines, frameworks, and systems to facilitate easier development of data artifacts.

You will be successful if you have:

• A Bachelor’s or Master's degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics.
• Strong skills in SQL, Python, problem-solving and data analysis.
• Deep Experience with Snowflake and AWS
• Deep Experience with dbt.
• Excellent communication and collaboration skills.
• An eagerness to learn and collaborate with others, learn quickly and able to work with little supervision.

If you would like to have a chat about this exciting opportunity, apply below or reach out directly to