London -Hybrid / Remote

Data Engineer

Zest

Office & Professional

£32,000/Year

Description

Location

Hybrid / Remote

Job Type

Permanent, Full Time

Rate

£32,000–£35,000 depending on experience

Hours

9:00am–5:00pm, Monday–Friday (36.25 hours per week)

Office

Leeds, LS1 5EN - attendance required once a month

Start

Not specified

About Zest

Zest is helping to lead the transition to zero carbon through the delivery of electric vehicle charging infrastructure for Local Authorities and businesses across the UK.

We are looking for a Data Engineer to join the Data team and play an important role in ensuring data is accessible, reliable and fit for purpose.

You’ll work closely with the IT Development team and colleagues across the business to develop data solutions, improve data processes and provide meaningful insights to support business decisions.

About the Role

As a Data Engineer, you will be responsible for developing and maintaining data solutions, supporting the data lake and ensuring data is available and reliable across the business.

Important to Know

Strong experience with SQL and relational databases required
Experience using Python required
Good understanding of database design and data modelling required
Experience developing, optimising and maintaining ETL processes required
Experience using Git/version control, including branching, merging and pull requests required
Understanding of cloud-based infrastructure, ideally AWS
Experience working with data and producing meaningful insights
Strong analytical and problem-solving skills
Excellent communication skills with technical and non-technical stakeholders
Degree-level education or equivalent relevant experience
Must be able to travel to the Leeds office once a month
Ideally based within approximately one hour of Leeds
Experience with AWS CDK, Terraform, Azure DevOps, CI/CD, data lakes or Power BI is desirable
Experience within the energy, EV or infrastructure sector is desirable

Requirements

Key Responsibilities

Work closely with the IT Development team to develop and maintain data lake functionality
Design and develop robust data models
Build, optimise and maintain ETL (Extract, Transform, Load) processes
Develop automated data solutions
Gather requirements for new data sources and data acquisition
Work with teams across the business to understand their data needs
Provide meaningful insights and data to support business decision-making
Use tools such as Power BI to present data and analytical findings
Troubleshoot and resolve data-related issues
Optimise SQL queries and data pipelines
Document processes to ensure a clear audit trail and accessible information
Support the ongoing improvement of data processes and infrastructure

Essential Skills, Experience & Qualifications

Strong experience with SQL and relational databases
Experience using Python
Good understanding of database design and data modelling
Experience developing, optimising and maintaining ETL processes
Experience using Git/version control, including branching, merging and pull requests
Understanding of cloud-based infrastructure, ideally AWS
Experience working with data and producing meaningful insights
Strong analytical and problem-solving skills
Excellent communication skills with the ability to work with technical and non-technical stakeholders
Degree-level education or equivalent relevant experience

Desirable