Technology Net Zero Graduate Scheme

Technology Net Zero Graduate Scheme (3 Vacancies, Sep 2026 start date)

Final date to receive applications: 29 March 2026

Department: Graduate Scheme

Employment Type: Full Time

Location: London, England, United Kingdom

Compensation: £32,500 / year

Job Title: Technology Net Zero Graduate Scheme

Contract type: 2-year fixed‑term contract. All graduates who have completed the programme to date have been offered permanent contracts.

Hours: Full Time, 37.5 hours per week

Location: Canary Wharf, London

WFH policy: Employees are required to attend the office 2 days/week

Flexible working: Informal flexible work patterns subject to line manager discretion including a 9‑day fortnight.

Deadline

Note:

We reserve the right to close the advert before the advertised deadline if there are a high volume of applications.

LCCC is relaunching our Net Zero Graduate Scheme with the opportunity for 3 successful candidates to join us. The Graduate scheme will provide the opportunity to work across multiple areas in LCCC and be involved in some of the UK's most exciting and high‑profile Net Zero programmes and projects, as well as the potential to be involved in innovative low‑carbon schemes that are helping the UK reach our 2050 Net Zero target.

This will be a 24‑month rotational placement covering Software Engineering, Data Engineering, Analytics and Infrastructure.

To download our brochure and learn more about the graduate scheme and LCCC, please see here:
(Use the "Apply for this Job" box below)._Technology

Below are some of the responsibilities and activities you’ll be performing on a day‑to‑day basis during your placements in each role.

The software team are responsible for the functionality of our web products that assist the operations team and the beneficiaries we work with. The purposes of these products include contract management, document creation and review, publishing data, and full settlement lifecycle management—from data ingestion and validation to calculation, payment execution, and reporting.

As a software developer, you will gain lots of experience hands‑on coding and refining tickets and requirements with the product team. The team operates within an agile framework, leveraging Scrum methodologies to deliver efficient and innovative solutions.

Within this rotation, there will be close collaboration with multiple teams. With the data team, you will be responsible for the management and design of databases. Within and with other software teams, you will be designing and creating RESTful API endpoints. With the cyber‑security team, you will be working together to ensure compliance with our security requirements.

This rotation will give you the opportunity to gain proficiency in Python and frameworks like Django, as you engage in the creation of robust technical solutions.

Data engineers are responsible for laying the foundations for the acquisition, storage, transformation and management of data in LCCC to convert raw data into insights. They manage the design, creation, and maintenance of database architecture and data processing systems using Azure cloud environment including Azure Synapse and Databricks. Doing so ensures that the subsequent work of analysis, visualisation, and machine‑learning model development can be carried out seamlessly, securely, and effectively for the various schemes.

As a data engineer, we focus on business cases development and design, and building scalable and resilient data solutions in Microsoft Azure. This data then allows LCCC to measure, track and report on the performance of the schemes.

You will be involved in data cleaning, data mapping, data modelling and building ETL (Extract, Transform, and Load) pipelines as well as moving data between various environments and alerting using logic apps and governance using Purview.

The Quantitative Development team is responsible for our most business critical forecasting and analytical models, providing technical leadership on their design, development and maintenance. Operational models process large volumes of data to produce accurate calculations…