About the Company

We’re partnering with a fast-growing, product-led SaaS company to hire an Analytics Engineer / Data Engineer to help scale a modern data and analytics platform.

About the Role

This role sits between data engineering and analytics, with a strong focus on SQL modelling, data quality, and analytics-ready datasets rather than raw ingestion-heavy pipelines. You’ll take ownership of production analytics, enable stakeholders to self-serve with confidence, and play a key role in shaping how data is used across the business. It’s a great fit for someone who enjoys building reliable data foundations, working close to real business use cases, and owning data end to end.

Responsibilities

Analytics & Data Modelling

• Design, build, and maintain analytics-ready data models using SQL
• Define and maintain trusted metrics and semantic layers
• Translate business and analytical requirements into robust, reusable datasets
• Improve documentation and transparency of data flows and models

Data Pipelines & Production Ownership

• Build and support ELT pipelines that power reporting, analytics, and data products
• Own analytics data in production, including monitoring, alerting, and incident resolution
• Improve data freshness, reliability, and consistency across the platform
• Optimise the data warehouse for performance, cost, and accessibility

Data Quality & Engineering Standards

• Implement testing, validation, and CI/CD practices for analytics code
• Improve observability around data quality, volume anomalies, and model health
• Contribute to governance practices such as lineage, documentation, and access control

Collaboration & Enablement

• Work closely with analysts, engineers, and product teams on cross-functional initiatives
• Enable stakeholders to self-serve analytics safely and effectively
• Balance speed, quality, and long-term maintainability when making technical decisions

Qualifications

• Strong background in analytics engineering or data engineering
• Deep experience with SQL and analytical data modelling
• Hands-on experience with dbt or similar transformation frameworks
• Proficiency in Python for data manipulation and pipeline support
• Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar)
• Solid understanding of data warehousing concepts and modern ELT workflows
• Comfortable owning production data and supporting it end to end
• Strong communication skills and experience working cross-functionally

Required Skills

• Experience consuming data from event streams
• Familiarity with modern table formats (e.g. Iceberg or similar)
• Exposure to BI and dashboarding tools
• Experience improving data observability and monitoring
• Comfort working in Linux or Unix environments

Preferred Skills

• High ownership of a modern analytics platform
• Clear impact on how data is used across the business
• Strong collaboration with product, engineering, and analytics teams
• Opportunity to shape modelling standards, tooling, and best practices
• Remote-first working with flexibility and autonomy

Pay range and compensation package

• Competitive salary with performance-related bonus
• Enhanced pension with salary sacrifice options
• Private health insurance and life assurance
• Generous annual leave allowance (including public holidays)
• Long-term benefits such as extended leave after tenure