Analytics Engineer

Immediate

Analytics Engineer developing scalable data models for consumer brands in the UK. Supporting data-driven decision-making by enhancing data quality and accessibility.

Posted 7/14/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £50,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modelling and analytics engineering, with a strong focus on designing and implementing dbt models on Databricks. Proficient in SQL and experienced in building scalable data products that enhance data quality and support analytical needs.

Highest-signal resume keywords

SQL ProficiencyDbt Model ImplementationDatabricks ExperienceDimensional ModellingData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDbtData TransformationDimensional ModellingPerformance OptimisationData Quality TestingData MigrationData AnalysisData StructuresCloud Data Platforms

Soft Skills

Strong CommunicationProactive MindsetCuriosityIndependent Work

Tools & Technologies

DatabricksAzureDelta LakeUnity CatalogueVersion Control SystemsData Visualisation ToolsBI Tools

Industry Keywords

Analytics EngineeringData EngineeringSubscription-Based Business ModelsData Modelling Best PracticesCollaborative Workflows

Tech Stack

Tools & technologies

AzureCloudSQLUnity

About the role

Key responsibilities & impact

Provide subject matter expertise to help shape and guide the overall data modelling strategy across our data domains.
Design and implement dbt models on Databricks to support a comprehensive and unified view of subscriptions and content data.
Build data products, not just reports well-modelled, reusable data sets that power dashboards, self-serve querying and conversational analytics tools, with clear lineage back to source.
Contribute to the ongoing evolution of our data platform by identifying and delivering improvements to data quality, coverage, and performance.
Serve as a subject matter expert on data modelling, supporting analysts and stakeholders in understanding and using our data assets effectively.
Design and implement scalable and maintainable dbt models on Databricks across our core data domains, including subscriptions and content.
Create and maintain a suite of dbt tests to ensure data quality, consistency, and trustworthiness.
Collaborate with data analysts, engineers, and business stakeholders to develop and maintain reporting marts that meet evolving analytical needs.
Support the build-out of self-serve and conversational analytics capability, helping design data structures that natural language query tools can reliably and accurately query.
Provide guidance on data modelling best practices, performance optimisation, and modular design in dbt.
Participate in code reviews and knowledge-sharing sessions to uplift team capability.

Requirements

What you’ll need

Proven experience working as an Analytics Engineer, Data Engineer, or similar role.
Deep proficiency in SQL for data transformation and analysis.
Strong hands-on experience with dbt (Data Build Tool) on Databricks, including advanced modelling techniques, test writing, and performance optimisation.
Solid understanding of dimensional modelling and modern data stack principles.
Familiarity with version control systems (e.g., Git) and collaborative workflows.
Strong communication skills with the ability to communicate clearly and work independently with minimal supervision.
A proactive, curious mindset: comfortable identifying problems and opportunities rather than only working from a ticket.
Experience working with subscription-based business models and datasets is highly desirable.
Broader experience with cloud data platforms such as Azure, and familiarity with Databricks features beyond dbt, such as Delta Lake or Unity Catalogue.
Familiarity with data visualisation tools and BI tools and their data requirements.
Previous involvement in large-scale data migration or re-platforming projects.

Benefits

Comp & perks

A relaxed working environment with regular socials including a summer festival
Immediate Community webinars, well-being initiatives and Mental Health First aiders
25 days holiday plus a day for your birthday. Our offices will be closed between Christmas and New Year’s which are in addition to your annual entitlement
Tailored training and development through our Love Learning platform
A progressive and transparent culture with clear career progression
Flexible / hybrid working plus early finish Fridays
Cycle to work scheme
Enhanced Family Policies including paternity, adoption and surrogacy leave. We also provide a pregnancy loss, fertility, and carers policy
Competitive pension plans and Life Assurance
A newly renovated modern office with lots of collaborative spaces