Analytics Engineer
London, Hybrid (2 days in office) | Up to £85,000
No sponsorship available now or in the future.
This is an opportunity to join a high growth, product led business where data sits at the centre of decision making. You will play a key role in shaping scalable data models and powering insight across the organisation, directly influencing how products are built and improved.
The Company
They are a fast growing digital platform operating within the financial services space, supporting a large and expanding customer base across the UK. The business is mission driven, focused on helping people make smarter long term decisions, with data deeply embedded in their strategy. Their environment is collaborative, inclusive, and focused on continuous improvement, with strong investment in modern data tooling and practices.
The Role
As an Analytics Engineer, you will bridge the gap between data engineering and analytics by creating reliable, analysis ready datasets and scalable data models. You will work closely with analysts and stakeholders to enable high quality insights across the business.
- Design and build automated data transformations to create trusted datasets
- Develop and scale data models and data catalogues across the platform
- Collaborate with analysts and stakeholders to deliver new analytics features
- Improve code quality, documentation, and best practices across the team
- Champion analytics engineering principles within the wider data function
- Enable improved reporting and insight through well modelled data structures
Your Skills and Experience
- Strong commercial experience working with large datasets and delivering insight
- Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery
- Experience building and automating data pipelines and transformations
- Familiarity with dbt for data modelling and transformation workflows
- Working knowledge of Python for data processing
- Experience supporting BI tools such as Power BI or similar platforms
- Understanding of data warehouse modelling principles and best practices
- Experience with version control tools such as Git
- Exposure to CI/CD concepts is beneficial
- Experience within financial services is advantageous but not essential
What They Offer
- Salary up to £85,000
- Performance related bonus
- Hybrid working model with London office presence
- Company pension scheme
- Private medical insurance and health cash plan
- Annual learning and development budget
- Home office setup support
- Cycle to work and wellbeing benefits
- Generous annual leave with additional entitlement over time
- Inclusive and collaborative culture with clear progression opportunities
Please note that candidates must be based in the UK. Sponsorship is not available for this position.
How to Apply
If you are interested in applying your analytics engineering expertise in a growing, impact driven environment, please apply with your CV.
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