Senior Analytics Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop, maintain, and enhance analytical data models within the data warehouse.

• Collaborate with Data Engineers, Data Analysts, and Software Engineers.

• Contribute as a member of a product team to provide valuable insights for customers.

• Lead projects focused on data quality, observability, and model optimization.

• Design, construct, and sustain high-quality datasets for customer-facing reporting.

• Work alongside engineers to evaluate and lessen the impact of upstream product modifications.

• Utilize domain expertise to create semantic layers for business intelligence.

• Mentor junior engineers and impart knowledge on the SDLC process and engineering best practices.

• Collaborate across functions within a multidisciplinary agile team.

• Engage in Hack Weeks and work together on innovative solutions.

⛳️ Requirements

• Expertise in transforming, testing, and documenting data while ensuring robust data lineage.

• Familiarity with data modeling, data access, and data storage techniques.

• Experience with software engineering best practices, including version control and continuous integration.

• Strong proficiency in SQL within cloud data warehouses, particularly Snowflake.

• Comfortable with performance optimization, data partitioning, and window functions.

• Ability to operate effectively and independently across multiple teams in ambiguous situations with high-level guidance.

• Experience with dbt for the data transformation layer.

• Familiarity with BI tools such as Power BI or Looker.

• Experience with AWS, Azure, or GCP is advantageous.

• Eligibility to work in the UK without visa sponsorship.

🏝️ Benefits

• Time off, flexible and remote working options, including 25 days of annual leave, 2 volunteering days, and your birthday off.

• Up to 30 days of holiday after five years of service.

• Enhanced parental leave.

• Mindfulness groups.

• Critical illness cover.

• 7% matched pension plan.

• Private healthcare coverage.

• Opportunities for career and learning development through the platform and the ‘Learn Anything’ fund.

• Recognition and rewards for outstanding work and embodying company values and behaviors.

• Flexible working arrangements, including adaptable start and finish times, reduced hours, job sharing, and remote work options.

• Monthly social events and sports clubs.

• Railcard loan.

• Cycle scheme available for purchasing a new bicycle.