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Senior Analytics Engineer
Immersive LabsCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data modeling, transformation, and documentation within cloud data warehouses, particularly Snowflake. Proficient in collaborating across multidisciplinary teams to deliver high-quality datasets and insights while mentoring junior engineers in best practices.
Highest-signal resume keywords
SQL ProficiencyData ModelingExperience with dbtBI Tooling ExperienceCloud Platform Knowledge
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop, maintain and refactor analytical data models within the data warehouse
- Collaborate with Data Engineers, Data Analysts and Software Engineers
- Work as part of a product team to deliver valuable customer insights
- Lead initiatives involving data quality, observability and model optimization
- Design, build and maintain high-quality datasets for customer-facing reporting
- Collaborate with engineers to assess and mitigate the impact of upstream product changes
- Apply domain knowledge to develop semantic layers for business intelligence
- Mentor junior engineers and teach the SDLC process and engineering best practices
- Work cross-functionally in a multidisciplinary agile team
- Participate in Hack Weeks and collaborate on innovative solutions
Requirements
What you’ll need- Proficiency in transforming, testing and documenting data while maintaining robust data lineage
- Knowledge of data modelling, data access and data storage techniques
- Experience with software engineering best practices, including version control and continuous integration
- Strong proficiency using SQL in cloud data warehouses, especially Snowflake
- Comfortable with performance optimization, data partitioning and window functions
- Ability to operate effectively and autonomously across multiple teams in ambiguous situations with high-level direction
- Experience with dbt for the data transformation layer
- Experience with BI tooling such as Power BI or Looker
- Experience with AWS, Azure or GCP is a plus
- Right to work in the UK without visa sponsorship
Benefits
Comp & perks- Time off, flexible and remote working, including 25 days 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
- Private healthcare plan
- Career and learning development through the platform and the ‘Learn Anything’ fund
- Recognition & Rewards for doing great work and living the company values and behaviours
- Flexible working options, including flexible start and finish times, reduced hours, job share and remote working
- Monthly socials and sports clubs
- Railcard loan
- Cycle scheme to buy a new bike
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data TransformationData LineageData Access TechniquesData Storage TechniquesPerformance OptimizationData PartitioningWindow FunctionsSoftware Engineering Best PracticesVersion ControlContinuous Integration
Soft Skills
CollaborationMentoringAutonomous OperationProblem SolvingAdaptability
Tools & Technologies
SnowflakeDbtPower BILookerAWSAzureGCP
Industry Keywords
Data WarehouseAgile TeamData QualityObservabilityModel OptimizationSemantic LayersCustomer Insights