Analytics Engineer
Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London.
OverviewAt Reed.co.uk, we believe the world should Love Mondays.
We’re looking for an Analytics Engineer to help scale our modern data platform and enable high-quality, self-serve analytics across the business. You’ll partner with Commercial and Marketing teams to deliver reliable, impactful data solutions, owning key datasets and driving better decision-making.
What success looks like in this role:Within 3 months: You’re contributing to dbt models and comfortable navigating our data stack
Within 6 months: You’re owning datasets and delivering end-to-end projects with stakeholders
Within 12 months: You’ve significantly improved data quality, modelling standards, and self-serve adoption across our Marketing and Commercial teams.
Key ResponsibilitiesDesign, build, and maintain scalable, well-tested data models using dbt
Develop, optimise, and maintain reliable data pipelines within Snowflake, with a focus on performance and cost efficiency
Translate business requirements into robust, maintainable, and reusable data products
Partner with stakeholders and Analytics Business Partners to deliver impactful data solutions
Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics
Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating, and resolving data issues
Own data projects end-to-end, from discovery and design through to delivery and iteration
Collaborate with Analysts and Data Scientists to deliver trusted datasets powering dashboards, insights and other data products
Document data models and ensure clear data definitions to support consistency across reporting
3+ years’ experience as an Analytics Engineer, BI Engineer, or similar
Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation)
Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.)
Experience working with Snowflake or similar cloud data warehouses, including query optimisation
Experience building data models that support business-facing analytics and reporting
Familiarity with BI tools (Looker preferred; Tableau, Power BI, ThoughtSpot also relevant)
Strong stakeholder management and communication skills, with the ability to translate business needs into data solutions and present complex problems to a non-technical audience
Strong attention to detail, with a proactive approach to testing, monitoring, and improving data quality
Experience working with version control (git), CI/CD, and agile development practices
Ability to manage multiple projects and work independently on well-defined problems
Experience working with Salesforce, CRM and performance marketing data
Experience working on large-scale data transformation or platform modernisation projects
Warehouse: Snowflake
Transformation: dbt
BI: Looker
Orchestration: Airflow
Version Control: GitHub
Other Tools: Adverity, OpenMetadata, Jira, Confluence
Hybrid working (minimum of 3 days per week in office)
25 days annual leave plus bank holidays
Flexible holiday scheme
Paid time off to move home
Contributory pension scheme
Enhanced family leave benefits
Insurance benefits including life assurance
Love Mondays events
Discount scheme including gyms and popular retailers
Range of wellbeing and mental health support avenues
Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep
These are just some great benefits we offer everyone working at Reed.co.uk!