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# Senior Analytics Engineer

- **Company:** Opportunityour
- **Location:** Slough, UK
- **Experience:** Expert
- **Salary:** £169,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Performance Tuning, Standard Sql, SQL Databases, Snowflake, Looker Analytics, Software Version Control, Data Pipelines
- **Published:** August 22, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-analytics-engineer/44853564

## About the Role

practices, Ability to independently deliver technical solutions from requirements to implementation.Strong stakeholder engagement and communication skills. Desirable Skills & ExperienceStrong experience with Looker, including LookML and semantic modelling.Experience using the Looker API for automation and integrations.Knowledge of workflow orchestration and DAG-based dependency management.Python development experience, particularly for automation and integrations.Experience working within a software or technology environment.Exposure to AI technologies and practical business applications.Knowledge of version control and collaborative development practices. Ideal CandidateThe successful consultant will combine strong analytics engineering expertise with excellent stakeholder management skills. They will be comfortable engaging with business users to clarify requirements, define solutions, plan delivery, resolve blockers, and communicate progress throughout the project lifecycle.Candidates
should demonstrate:Excellent SQL proficiency.Strong Snowflake knowledge.Experience with end-to-end pipeline design.Hands-on Looker expertise.AI exposure within a professional environment.Testing and performance optimisation experience.Strong stakeholder engagement and communication skills.Ability to own and deliver defined technical outcomes.

## Description

and maintain Looker models, explores, and dashboards.Implement data quality controls, testing frameworks, and monitoring processes.Optimise data pipelines, warehouse performance, and reporting layers.Collaborate with engineering teams to ensure source data supports downstream requirements.Manage delivery blockers and communicate progress to stakeholders.Support adoption and enhancement of BI and analytics capabilities.Contribute to AI-driven initiatives through data and automation technologies. Essential Skills & Experience6+ years' experience in Analytics Engineering, Data Engineering, BI Engineering, or similar.Advanced SQL skills with strong optimisation and troubleshooting experience.Strong understanding of data warehousing and data modelling principles.Experience designing and maintaining end-to-end data pipelines.Hands-on experience with cloud data warehouses, particularly Snowflake.Strong knowledge of ELT/ETL methodologies.Experience, implementing testing and data quality


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