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Senior Analytics Engineer - Python, GCP, DBT

Harvey Nash Group

London

Hybrid

GBP 50,000 - 90,000

5 days ago
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Job summary

An established industry player is seeking a Senior Analytics Engineer to join their dynamic team in London. This role involves leveraging your strong SQL and Python skills to build and orchestrate data pipelines, ensuring data quality, and optimizing transformations for large datasets. You'll work closely with both technical and business stakeholders, utilizing GCP and dbt to drive analytics initiatives. The ideal candidate will have a background in data science or computer science and a proactive approach to problem-solving. Join this innovative firm and contribute to impactful projects in the telecommunications sector!

Qualifications

  • Strong SQL and Python skills with experience in GCP and dbt.
  • Experience with data modelling and data quality tools is essential.

Responsibilities

  • Build and orchestrate data pipelines using dbt and GCP.
  • Ensure data quality and optimize SQL for large-scale transformations.

Skills

SQL

Python

GCP

dbt

Git

Terraform

Data modelling

Data quality

CI/CD pipelines

Communication skills

Education

Degree in Data Science or Computer Science

Tools

Git

JIRA

Tableau

Great Expectations

Airbyte

Fivetran

Job description

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

What you'll need

  • 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)

What will help you on the job

  • 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 analysis 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.

Alex Reeder
Harvey Nash Finance & Banking

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