SonicJobs Logo
Login
Left arrow iconBack to search

Analytics Engineer

Harnham - Data & Analytics Recruitment
Posted 2 days ago, valid for 12 days
Location

London, Greater London EC1R 0WX

Salary

£500 - £600 per day

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • The position of Analytics Engineer is a 6-month contract based in London, offering a salary of £500-£600 per day.
  • This role involves driving dbt implementations and enhancing data modeling strategies within a leading consultancy firm.
  • Candidates should have strong commercial experience with dbt, proficiency in SQL, and familiarity with cloud data warehouses like Snowflake or BigQuery.
  • The role requires collaboration with data engineers and involves optimizing data models and ELT pipelines for analytics-driven insights.
  • Ideal applicants should possess a solid understanding of cloud-based data architecture and have experience in performance tuning and dbt best practices.

ANALYTICS ENGINEER

6-MONTH CONTRACT

LONDON

£500-£600 PER DAY

This position as an Analytics Engineer offers an exciting opportunity to work within a leading consultancy at the forefront of data transformation. If you're looking to move beyond routine projects and work on technically varied initiatives, this contract allows you to drive dbt implementations and enhance data modelling strategies. You'll also have the opportunity to mentor others and refine best practices, positioning yourself as a key player in the dbt ecosystem.

THE COMPANY

This consultancy firm has a strong reputation in the sector, consistently evolving to meet the demands of modern data platforms. Working here will not only strengthen your CV but also provide invaluable experience in dbt-driven data transformations across diverse industries. We have placed both contract and permanent candidates here, with highly positive feedback on the collaborative culture and technical innovation.

THE ROLE

As an Analytics Engineer, you will play a vital role in a data transformation program, focusing on optimising data models and enabling analytics-driven insights. You will also be responsible for post-project documentation, ensuring clear communication with both technical and non-technical stakeholders.

Your key responsibilities will include:

  • Designing and implementing scalable dbt models for efficient data transformation.
  • Optimising ELT pipelines, ensuring clean and well-structured data for analytics.
  • Enhancing dbt best practices, including modularity, testing, and version control.
  • Collaborating with data engineers to integrate dbt into cloud data warehouses.
  • Creating clear documentation to communicate technical processes effectively.
KEY SKILLS AND REQUIREMENTS

To succeed in this role, you should have:

  • Strong commercial experience with dbt and its ecosystem.
  • Proficiency in SQL for data modelling and transformation.
  • Experience with Snowflake or other cloud data warehouses (BigQuery, Redshift).
  • Understanding of ELT processes and cloud-based data architecture best practices.
  • Familiarity with performance tuning and dbt documentation/testing strategies.
  • Exposure to cloud platforms (AWS/GCP/Azure) and their data services.
HOW TO APPLY

Please register your interest by sending your CV via the apply link on this page.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.