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Senior Analytics Engineer

Harnham - Data & Analytics Recruitment
Posted 21 hours ago, valid for 9 days
Location

Manchester, Greater Manchester M17 1DJ, England

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

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  • The role of Senior Product Analytics Engineer is fully remote with the requirement to be in Uxbridge once a month.
  • The salary for this position ranges from £60,000 to £70,000, depending on experience.
  • Candidates must have at least 4 years of experience in SQL, Python, DBT, and cloud technologies such as Snowflake, BigQuery, or Databricks.
  • The successful candidate will work in a team of 10, focusing on building and improving customer data platforms and data warehouses.
  • Strong communication skills are essential for collaborating with team members and stakeholders throughout the role.

Role: Senior Product Analytics Engineer

FULLY REMOTE (1x month in Uxbridge)

Salary: £60,000 - £70,000 (dependent on experience)

Insight into the Company:

This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform.

The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled.

Role and Responsibilities:

  • You will ingest and transform data in snowflake using DBT
  • You will support the building of the data warehouse in Snowflake
  • You will work to sustain and implement existing ELT pipelines

Skills and Experience:

  • Essential to have 4+ years experience in:
    • SQL
    • Python
    • DBT
    • Cloud techs such as Snowflake, BigQuery or Databricks
  • Desirable to have experience with:
    • CI/CD pipelines
    • Kafka; real-time streaming
    • Snowflake as a data warehouse
    • Product Analytics
    • Experience working with data product teams

Interview Process:

  • There are 4 stages to the process:
  1. A 30 minute discussion about experience
  2. An hour take home exercise
  3. A technical interview with the Data Director and Analytics Engineer
  4. One hour culture fit interview

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.