Data Engineer

Harnham - Data & Analytics Recruitment

Posted 21 hours ago, valid for a month

Liverpool, Merseyside L96GB, England

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

Job Title: Data Engineer located in Liverpool, requiring 2 days a week in the office.
The position offers a salary of £47,000 per year.
The company is a leading technology firm with over 21 years in automotive performance marketing, collaborating with major brands like VW, BMW, and Ford.
Candidates should have at least 2 years of experience in Data Modelling & Warehousing, Azure, SQL, and Python, with knowledge of Airflow and DBT being a plus.
The interview process includes an initial HR conversation, a technical interview, a face-to-face meeting, and a final chat with the CEO.

Job Title: Data Engineer

Location: Liverpool - 2x days week

Salary: £47,000

About the Company

Join a leading technology company with over 21 years of experience in the automotive performance marketing space. They partner with major brands like VW, BMW, and Ford, developing digital engagement tools and are looking for a passionate, data-driven Data Engineer to join their team.

Responsibilities

They are looking for a Data Engineer to help enhance and optimise our Data Hub, ensuring it meets the evolving needs of the business. You'll play a key role in:

Managing and optimising the data infrastructure.
Designing and implementing robust ETL pipelines.
Collaborating with the Data Integration Manager to integrate API data.
Building automation for cost-per-lead calculations and developing forecasting and analytics capabilities.

Requirements:

You're a data-driven problem solver with at least 2 years of experience in:

Data Modelling & Warehousing
Azure
SQL & Python
Airflow (nice to have)
DBT (or willingness to learn)

Interview Process

Initial conversation with HR
Technical interview with Data Scientist and Head of Development
Face-to-face interview
Sign off chat with CEO!

Apply now in a few quick clicks

Data Engineer

Data Architect

Data Architect

Data Engineer