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Senior Analytics Engineer

JR United Kingdom

Birmingham

Remote

GBP 60,000 - 80,000

Full time

2 days ago
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Job summary

Join a forward-thinking telecom organization as an Analytics Engineer, where you'll play a pivotal role in transforming the industry. This fully remote position allows you to collaborate with a dynamic team of data professionals. You will be responsible for building and optimizing the customer data platform, working with cutting-edge technologies like Snowflake and DBT. Your expertise in SQL and Python will be essential as you enhance existing models and support various data workstreams. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

  • 4+ years experience in SQL and Python is essential for this role.
  • Experience with DBT and cloud technologies like Snowflake is crucial.

Responsibilities

  • Ingest and transform data in Snowflake using DBT.
  • Support building the data warehouse and maintain ELT pipelines.

Skills

SQL
Python
DBT
Cloud technologies (Snowflake, BigQuery, Databricks)
Kafka

Tools

Snowflake
DBT
BigQuery
Databricks

Job description

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FULLY REMOTE (1x month in Uxbridge - travel expensed)

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, supporting different data workstreams. You will have strong communication skills to collaborate within the team and with stakeholders. The role will involve improving existing models to ensure they are efficient and scalable.

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 technologies such as Snowflake, BigQuery, or Databricks.

Desirable to have experience with:

  • 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:
  • An hour take-home exercise.
  • A technical interview with the Data Director and Analytics Engineer.
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