NALA
Your Mission As Senior Analytics Engineer, you'll own, uplift and maintain NALA's data transformation layer - the foundation that all reporting, governed metrics, self serve analytics and AI powered capabilities depend on. Your work will add semantic richness, structure and governance to NALA's data, ensuring every model is documented, tested and described in a way that both humans and AI agents can interpret and trust. Agentic analytics is arriving fast, and this role exists to help ensure NALA's data foundation is ready for it. Your Responsibilities in this Role Own the transformation layer (dbt + Snowflake) - refactoring, enforcing best practices, and evolving our data stack to a best in class standard Take ownership of streaming data pipelines alongside batch transformation - ensuring real time and near real time data flows are reliable, cost efficient and well integrated into the broader data architecture Establish and enforce coding & agentic coding standards, systematic testing and documentation as CI enforced defaults across all data models Optimise warehouse performance and cost efficiency, identifying and resolving the query patterns and materialisation choices driving unnecessary spend Build the foundation for AI powered self serve by ensuring models carry the semantic richness and documentation that agents need to return reliable answers Scope and resolve orchestration decisions (dbt Cloud vs Dagster) and own the infrastructure roadmap for the transformation layer Support and mentor analysts on analytics engineering best practices, raising the engineering standard across the team Must-have requirements 4+ years hands on experience with dbt (ideally fusion) - building, refactoring and maintaining production grade transformation layers Strong SQL, Python and data modelling skills with a clear understanding of warehousing and modern data architecture Snowflake or Databricks experience including query performance tuning and cost optimisation Deep proficiency with AI assisted development workflows (Cursor, Windsurf, Claude Code) to force multiply engineering output and accelerate delivery Track record of implementing testing, CI/CD, documentation standards and PR review workflows in dbt projects Comfortable owning an infrastructure roadmap - can assess the current state, propose a plan and execute without being directed step by step Nice to have requirements Semantic layer experience (Cube, dbt Semantic Layer) and understanding of how governed metric definitions sit on top of a transformation layer Familiarity with orchestration tools (Dagster, Airflow, dbt Cloud etc) Experience with Hex or similar modern BI/notebook platforms Experience in fintech, payments or regulated environments where data accuracy and governance carry real business consequences Familiarity with experimentation frameworks and product analytics Success in the role looks like 3-Month Metrics Full ownership of the transformation layer and warehouse, with a clear understanding of the current architecture, cost drivers and priorities 6-Month Metrics Full ownership of warehouse coding standards, data architecture and infrastructure Measurable improvement in the cost and efficiency of supplying data to the business A clear data infrastructure roadmap delivered for the following 6 months Benefits 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard! Birthday Leave: Celebrate your special day with a bonus day off to take off in that month. Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After a 6-month probationary period) Enhanced Pension: Salary sacrifice pension scheme via Penfold giving you flexibility and control on how you save for your future! Global Workspace: Get access to WeWork locations worldwide. Learning Budget : Fuel your growth with $1000 annually for learning and development. Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team. Monthly Socials: Join fun social events every month for great times. Free Coffee: Enjoy barista style coffee at your fingertips.
Your Mission As Senior Analytics Engineer, you'll own, uplift and maintain NALA's data transformation layer - the foundation that all reporting, governed metrics, self serve analytics and AI powered capabilities depend on. Your work will add semantic richness, structure and governance to NALA's data, ensuring every model is documented, tested and described in a way that both humans and AI agents can interpret and trust. Agentic analytics is arriving fast, and this role exists to help ensure NALA's data foundation is ready for it. Your Responsibilities in this Role Own the transformation layer (dbt + Snowflake) - refactoring, enforcing best practices, and evolving our data stack to a best in class standard Take ownership of streaming data pipelines alongside batch transformation - ensuring real time and near real time data flows are reliable, cost efficient and well integrated into the broader data architecture Establish and enforce coding & agentic coding standards, systematic testing and documentation as CI enforced defaults across all data models Optimise warehouse performance and cost efficiency, identifying and resolving the query patterns and materialisation choices driving unnecessary spend Build the foundation for AI powered self serve by ensuring models carry the semantic richness and documentation that agents need to return reliable answers Scope and resolve orchestration decisions (dbt Cloud vs Dagster) and own the infrastructure roadmap for the transformation layer Support and mentor analysts on analytics engineering best practices, raising the engineering standard across the team Must-have requirements 4+ years hands on experience with dbt (ideally fusion) - building, refactoring and maintaining production grade transformation layers Strong SQL, Python and data modelling skills with a clear understanding of warehousing and modern data architecture Snowflake or Databricks experience including query performance tuning and cost optimisation Deep proficiency with AI assisted development workflows (Cursor, Windsurf, Claude Code) to force multiply engineering output and accelerate delivery Track record of implementing testing, CI/CD, documentation standards and PR review workflows in dbt projects Comfortable owning an infrastructure roadmap - can assess the current state, propose a plan and execute without being directed step by step Nice to have requirements Semantic layer experience (Cube, dbt Semantic Layer) and understanding of how governed metric definitions sit on top of a transformation layer Familiarity with orchestration tools (Dagster, Airflow, dbt Cloud etc) Experience with Hex or similar modern BI/notebook platforms Experience in fintech, payments or regulated environments where data accuracy and governance carry real business consequences Familiarity with experimentation frameworks and product analytics Success in the role looks like 3-Month Metrics Full ownership of the transformation layer and warehouse, with a clear understanding of the current architecture, cost drivers and priorities 6-Month Metrics Full ownership of warehouse coding standards, data architecture and infrastructure Measurable improvement in the cost and efficiency of supplying data to the business A clear data infrastructure roadmap delivered for the following 6 months Benefits 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard! Birthday Leave: Celebrate your special day with a bonus day off to take off in that month. Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After a 6-month probationary period) Enhanced Pension: Salary sacrifice pension scheme via Penfold giving you flexibility and control on how you save for your future! Global Workspace: Get access to WeWork locations worldwide. Learning Budget : Fuel your growth with $1000 annually for learning and development. Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team. Monthly Socials: Join fun social events every month for great times. Free Coffee: Enjoy barista style coffee at your fingertips.