Analytics Engineer

• 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.

• 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.

• £60,000 - £80,000 salary (depending on experience).
• Hybrid working (2-3 days per week in the Manchester office).
• Annual bonus.
• Competitive pension contribution.
• Private healthcare.
• 25 days annual leave plus bank holidays.
• Ongoing learning and professional development opportunities.
• Opportunity to work with a modern cloud data stack.
• Join a collaborative team with genuine opportunities for progression and career development.

I’m currently working with a growing financial services organisation based in Manchester that is looking to hire an Analytics Engineer to strengthen its data and analytics function.

This is an exciting opportunity to join a business investing heavily in its data platform, where you’ll play a key role in transforming raw data into trusted, business-ready datasets that support reporting, analytics and strategic decision-making across the organisation.

Working closely with Data Engineers, BI Analysts and key business stakeholders, you’ll be responsible for developing scalable data models, improving data quality and enabling self-service analytics across multiple business functions.

This role would suit someone who enjoys solving complex data challenges, working with modern data technologies and collaborating with both technical and non-technical teams to deliver meaningful business outcomes.