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# Analytics Engineer

- **Company:** Oscar
- **Location:** Manchester, UK
- **Salary:** £60,000.0 - £80,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, BigQuery, Continuous Integration, Data Governance, Data Transformation, Database Queries, Document-Oriented Databases, Revision Control Systems, Python (Programming Language), Power BI, Software Engineering, Tableau (Software), Workflow Management Systems, Snowflake, Git, Data Management, Azure Synapse Analytics, Looker Analytics, Data Pipelines, Databricks
- **Published:** July 13, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2871350901-2

## About the Role

* Previous experience as an Analytics Engineer, Analytics Developer, Data Engineer or similar role.
 * Strong SQL skills with experience writing complex and optimised queries.
 * Experience building and maintaining data models using dbt or similar transformation tools.
 * Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks.
 * Strong understanding of ELT processes and data modelling principles.
 * Experience working with version control tools such as Git.
 * Ability to translate business requirements into scalable technical solutions.
 * Strong communication and stakeholder management skills.
 * Excellent analytical and problem-solving abilities.

Desirable Skills

 * Experience within financial services, banking, fintech or another regulated industry.
 * Knowledge of Python for data transformation or automation.
 * Experience with orchestration tools such as Airflow.
 * Exposure to BI platforms including Power BI, Tableau or Looker.
 * Understanding of data governance, data quality and regulatory reporting requirements.
 * Experience working within Agile delivery teams.
 * Familiarity with CI/CD and modern software engineering practices.

## Description

* Develop and maintain scalable data models to support business intelligence and analytics.
 * Build and optimise ELT pipelines that transform data into clean, reliable datasets.
 * Work with stakeholders across the business to gather reporting and analytics requirements.
 * Ensure data quality, consistency and governance across multiple data sources.
 * Collaborate with Data Engineers to improve and optimise the organisation's modern data platform.
 * Support the development of dashboards and reporting solutions used by senior leadership.
 * Improve the accessibility and usability of data for business users through well-structured data models.
 * Document data models, transformation logic and analytics processes.
 * Identify opportunities to improve existing reporting, automation and data workflows.
 * Promote best practices around analytics engineering, testing, documentation and data quality.


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