Senior Data Analytics Engineer

Harnham - Data & Analytics RecruitmentLondonreedpublished 11/09/2026
Must-have:PythonGitCloudDataCI/CDAISeniorHybrid

SENIOR DATA ENGINEER

LONDON/HYBRID

UP TO £105,000

This is an excellent opportunity for a Senior Data Engineer to join a growing Business Intelligence function that is investing heavily in its modern data platform. You'll play a key role in shaping data solutions, influencing technical decisions, and working closely with senior stakeholders as the business continues its migration to a cloud-based architecture.

ROLES AND RESPONSIBILITIES:

The Senior Data Engineer will:

  • Design and implement scalable data pipelines and data models
  • Gather and translate business requirements from non-technical stakeholders
  • Support the migration of legacy SQL Server environments into Snowflake
  • Build and maintain cloud-based data infrastructure
  • Ensure data quality, performance, and reliability across reporting and analytics platforms
  • Work closely with technical leadership on architectural decisions and best practices
  • Support continuous improvement across data engineering processes, testing, deployment, and monitoring
  • Contribute to future AI and automation initiatives across the business
  • Mentor colleagues and promoting engineering best practices within the team

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

  • Strong commercial experience as a Data Engineer or Analytics Engineer
  • Advanced SQL skills and experience developing complex data solutions
  • Hands-on experience with Snowflake and dbt
  • Experience building and maintaining modern cloud-based data platforms
  • Knowledge of data warehousing and data modelling principles
  • Experience engaging directly with business stakeholders and gathering requirements
  • Familiarity with CI/CD practices and version control tools such as Git
  • Exposure to Python for data ingestion or automation would be beneficial
  • Experience with Power BI, semantic modelling, or analytics platforms would be advantageous
  • Financial services experience is welcome but not essential

APPLY BELOW!