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Senior Analytics Engineer

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Leeds

Remote

GBP 70,000 - 75,000

Full time

Yesterday
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Job summary

Join a dynamic telecoms company as a Senior Analytics Engineer and leverage your expertise in data modelling and transformation. This role offers the chance to work remotely while designing innovative data models and supporting the implementation of ELT pipelines. Collaborate with key stakeholders and empower teams to make data-driven decisions using cutting-edge data cloud technologies like Snowflake and DBT. Enjoy a competitive salary and fantastic benefits as you contribute to the company's expansion into new markets, making a real impact in the data landscape.

Qualifications

  • Experience with data modelling techniques like DataVault and Kimball.
  • Strong skills in SQL and Python for data analysis.

Responsibilities

  • Design and build data models for effective data management.
  • Support implementation and maintenance of ELT pipelines.

Skills

Stakeholder Interaction
Data Modelling Techniques
SQL
Python
Data Cloud Tech (Snowflake, BigQuery, Databricks)
Data Transformation (DBT)

Tools

Snowflake
BigQuery
Databricks
DBT

Job description

Job Description

SENIOR ANALYTICS ENGINEER

£70,000-£75,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.

THE ROLE:

A remote working Senior Analytics Engineer will need to:

  1. Design and build data models
  2. Support implementation and maintenance of ELT pipelines
  3. Ingest data into Snowflake
  4. Transform data using DBT
  5. Empower teams to make data driven decisions
YOUR SKILLS AND EXPERIENCE:

A successful Senior Analytics Engineer will have the following skills and experience:

  1. Ability and experience interacting with key stakeholders
  2. Data modelling techniques - e.g., DataVault, Kimball, etc.
  3. Strong experience in SQL/Python
  4. Data Cloud Tech experience - e.g., Snowflake, BigQuery, Databricks
  5. Data transformation experience using DBT
THE BENEFITS:

You will receive a salary, dependent on experience, up to £75,000. On top of the salary, there are some fantastic additional benefits.

HOW TO APPLY

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

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