Senior Analytics Engineer

Tenth Revolution Group; Greater London; On-site; GBP 30,000 - 60,000; Full time

Job summary

Tenth Revolution Group is seeking an experienced Analytics Engineer in the United Kingdom to design and maintain analytic data models and end-to-end pipelines in a cloud environment. You will optimise SQL transformations, build Looker models, and collaborate with engineers to ensure data quality and timely reporting for BI and AI initiatives.

The role emphasizes hands-on Snowflake, Looker, ETL/ELT, and Python automation, with a contract to deliver high-quality data products for analytics across

Qualifications

• 6+ 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 practices.
• Ability to independently deliver technical solutions from requirements to implementation.
• Strong stakeholder engagement and communication skills.
• Strong 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.

Responsibilities

• Design, develop, and maintain analytical data models and transformation pipelines.
• Build clean, tested, documented, and scalable datasets for reporting and analytics.
• Develop and optimise complex SQL transformations.
• Gather, clarify, and translate business requirements into technical solutions.
• Develop 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.
• Engage with business users to clarify requirements, define solutions, plan delivery, resolve blockers, and communicate progress throughout the project lifecycle.
• Own and deliver defined technical outcomes.

Skills

Advanced SQL

Looker/LookML

Python

Snowflake

ETL

Data warehousing

Data modelling

API integration

Airflow/Orchestration

Tools

Looker API

Snowflake

Job description

Salary: £30,000 - 60,000 per year

Requirements:

• 6+ 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 practices.
• Ability to independently deliver technical solutions from requirements to implementation.
• Strong stakeholder engagement and communication skills.
• Strong 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.

Responsibilities:

• Design, develop, and maintain analytical data models and transformation pipelines.
• Build clean, tested, documented, and scalable datasets for reporting and analytics.
• Develop and optimise complex SQL transformations.
• Gather, clarify, and translate business requirements into technical solutions.
• Develop 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.
• Engage with business users to clarify requirements, define solutions, plan delivery, resolve blockers, and communicate progress throughout the project lifecycle.
• Own and deliver defined technical outcomes.

Technologies:

• AI
• API
• Cloud
• ETL
• Support
• Looker
• Python
• SQL
• Snowflake

More:

Our client is a leading software company with an established data team. This is a contract role inside IR35 at £650 per day for 6 months. We work within a modern cloud data environment, delivering scalable, high-quality data products that support analytics, reporting, and business decision-making across the organisation. The role offers the opportunity to build trusted datasets, optimise data models, and contribute to BI, analytics, and AI-driven initiatives.

last updated 36 week of 2026