Job Description

Job Title

: Data Engineer

Type

: 12 Month Fixed-Term Contract, Permanent & Hybrid

Salary

: 75,000 - 85,000 depending on experience

Location

: EcoPark, Edmonton North London

About LondonEnergy:

LondonEnergy operates the second largest waste contract in the UK, handling and processing nearly 750,000 tonnes of London's waste every year. We have a dedicated team of people working across our various North London sites, making a positive difference to the environment and the local community.


By processing household waste at our facility, we produce enough waste from energy to power 80,000 homes every year and recycle 70% of items through our Reuse and Recycling Centres.

About the role:

We are seeking a highly skilled and experienced

Data Engineer

to design, implement, and maintain scalable data and analytics architecture solutions that support our business intelligence, analytics, and operational data needs.


This role is critical in shaping

LondonEnergy's data and analytics strategy

, ensuring the integrity, availability, quality, and security of our data assets. You will play a key role in establishing robust data foundations and delivering the capabilities required to move the organisation to its next stage of data maturity.


This is a

12-month fixed-term contract

, focused on building and embedding the data platforms, pipelines, and governance needed to get LondonEnergy to where it needs to be from a data perspective.

Responsibilities:

Engage closely with the

Data & Analytics Manager, technical teams, and business stakeholders

to gather requirements and ensure data is standardised, accessible, interoperable, and reusable. Act as a

key liaison

between system implementation teams, technical reporting, analytics development, and business users. Design, develop, and maintain

robust, scalable, and secure data and analytics architectures

across cloud environments, primarily using

Microsoft Azure and Fabric

. Provide leadership and guidance on

data and analytics architecture best practices

, including the use of

AI to automate data management and processing

. Develop and maintain

enterprise data models

, master data management (MDM), and

data governance frameworks

, ensuring regulatory compliance and data consistency. Build, optimise, and maintain

data pipelines and ETL processes

, improving reliability, performance, and data quality. Drive

continuous improvement

by monitoring tool usage, recommending new technologies, and helping shape the roadmap for future enhancements, training, and support.

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, with

5+ years' experience

in data engineering, data architecture, or similar roles. Proven hands-on experience with

cloud data platforms and data warehousing

, including strong development experience using

Microsoft Azure and Microsoft Fabric

. Strong technical proficiency in

SQL, Python

, and modern

data modelling

techniques. Solid understanding of

data governance, security, compliance

, and best practices for managing enterprise data assets. Experience with

master data management (MDM)

and

data cataloguing tools

.

Knowledge or experience in AI solution architecture

is a significant advantage; data architecture or data management certifications (e.g.

TOGAF, DAMA

) are desirable. Excellent

problem-solving, communication, and stakeholder management

skills, with the ability to operate effectively in a

low data maturity environment

and lead others through change.

Benefits

Private Medical & Life Insurance Company Pension Scheme Annual Leave Package Employee Recognition Scheme Access to Employee Assistance Programme (EAP) + Many more benefits
Early application is encouraged as we will review applications throughout the advertising period and reserve the right to close the advert early.