National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Software Engineer

Hinckley
1 month ago
Create job alert

Join a pioneering startup using cutting-edge data technology to drive real-world impact on climate and infrastructure - where your code helps power the path to net zero.

Indeximate is a rapidly growing VC backed startup focussed on reducing the barriers to net zero using the fantastic wealth of data that can be obtained using fibre optic sensing. We are permanently instrumenting subsea power cables that provide us with our vital electricity supplies and are using this data to reduce the risks of these cables failing.

Our data has a myriad of other uses: monitoring the environment and the weather, mobility of the seabed, tracking marine mammals, detecting vessels and much more. One of our core goals is liberating these multiple measurements and delivering low-cost sensing as a service direct to the desktop.

With proprietary IP in data compression and analytics at the heart of our technology, we are now looking for a talented Software Engineer to help accelerate our growth and bring this ambitious vision to life.

The Role

This role requires a candidate to work on the cloud software infrastructure to process the uploaded data and turn it into actionable information for clients. This includes implementing algorithms in Python to process the data in the cloud. Our targeted deployment environments are Google's Cloud Platform, utilising BigQuery and CloudRun.

The successful candidate will be a key member of the fast-growing Indeximate team, working with Data Scientists and Software Engineers to turn the terabytes of data generated each day into information with a huge range of applications. Sensing data covering thousands of kilometres of assets worldwide needs to be stored and processed efficiently.

Key Accountabilities:

Data flow management and database optimisation
Development of scalable cloud-based Python implementations of cable health risk algorithms
Development of system monitoring and alerting for internal purposes
Ensure web security protocols are implemented and tightly adhered to
Testing of algorithm implementations against test datasets

Your Experience & Qualifications

You will be a UK citizen holding a graduate or extended degree in a relevant subject (Computer Science, Data science, Software Engineering, etc.) and have cemented those qualifications with at least three years or more of experience post degree working in a commercial cloud computing environment, exploiting Python and working with large scientific datasets.

We welcome applications from part-time and full-time workers. The role will involve regular low frequency travel.

Your Skills

We are a cloud-based data science company, and this role is at the deep end of that experience, and we expect that candidates will have a clearly evident skillset in implementing cloud-based solutions. In addition, we'd love to hear from candidates with:

Ability to implement cloud-based analytics solutions (Google BigQuery preferred) (essential)
Skilled in Python and data science computing and cloud computing integration (essential)
Demonstrable knowledge of key cloud security requirements and protocol implementation
Ability to assess and integrate new technologies
Self-motivated with a desire to improve products and technology
Ability to work independently as well as within a small team
Rigorous approach to testing and code quality
Comfortable with remote working

Salary and Benefits:

Competitive salary (£60,000 – £70,000 DOE)
Company shares ownership in a fast-growing startup
Company life insurance policy
25 days annual leave
Remote working
Travel, food and drinks are fully covered for all team meet ups

Apply directly to express your interest! We look forward to hearing from you

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer (we have office locations in Cambridge, Leeds & London)

Software Manager

Senior Software Engineer – API & ML Infrastructure

Next.JS Software Engineer - Remote

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.

Top 10 Mistakes Candidates Make When Applying for Data-Science Jobs—And How to Avoid Them

Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer. Introduction From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix. Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.