Senior Data Analytics Engineer - Harvey Nash

Senior Analytics Engineer - Python, GCP, DBT sought by leading telecommunications company based in the city of London.

**Inside Ir35 - 2/3 days a week onsite**

• Strong SQL skills
• Strong hands-on experience with source code control tools such as Git
• Experience building and orchestrating pipelines in dbt
• Experience with GCP
• Experience with Terraform
• Strong Python skills
• Experience with version control for data models (e.g., dbt testing frameworks, data
• documentation)
• Demonstrated experience with data modelling concepts (dimensional modelling, star schemas)
• Experience writing efficient and optimised SQL for large-scale data transformations
• Understanding of data warehouse design principles and best practices
• Proactive approach to identifying and resolving data quality issues
• Strong communication skills with both technical and business customers
• Experience with CI/CD pipelines for data transformations
• Experience with data quality and testing tools (Great Expectations, dbt tests)

• Experience working within an agile team and familiarity with JIRA
• Degree in a Data Science or Computer Science related discipline
• Experience with end user data and visualisation tools such as Tableau
• Experience working with APIs
• Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools
• Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights
• Knowledge of data governance and metadata management
• Experience with data cataloguing tools
• Experience mentoring junior team members
• Familiarity with modern data stack tools (Airbyte, Fivetran, etc.)

Please apply within for further details or call on 07393149627

Harvey Nash Finance & Banking