Senior Software Engineer

Intec Select
Tower, Greater London, City and County of the City of London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Confluent London, London, City Of, United Kingdom
£40,000 – £80,000 pa Remote

Senior Software Engineer II

Confluent London, London, City Of, United Kingdom
Permanent

Senior Software Engineer - Platform Engineering & Development

Matillion India
Hybrid

Senior Software Developer (.NET/ AI)

Reed Newcastle upon Tyne, United Kingdom
£60,000 – £70,000 pa Hybrid

Senior Software Developer (.NET/ AI)

Reed Technology Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£60,000 – £70,000 pa Hybrid

Software Engineer - Internal Engineering Platform

Matillion India
Hybrid
Posted
21 Jul 2025 (9 months ago)

Lead Software Engineer - TypeScript, Node.js, React, NestJS, Tailwind CSS, Postgres

Overview
We’re seeking a passionate Senior / Lead Engineer to join a fast-growing, profitable Series A food tech startup transforming the way people eat. This unique role offers you the chance to work directly with founders, influence the product and technical roadmap, and build a world-class engineering team from the ground up. You’ll be hands-on with coding 70-80% of the time, developing innovative AI-driven solutions to revolutionize kitchen automation and food delivery. Significant stock options and a competitive salary come with the role, along with a flexible hybrid working model.

Role and Responsibilities

Lead and grow a small but talented engineering team (2-3 engineers)
Own and evolve key systems, including data ingestion from platforms like Deliveroo, Uber Eats, and JustEat
Build and maintain self-serve dashboards and web apps for kitchen operators and food brands
Develop and deploy AI-powered solutions for food quality control, anomaly detection, and kitchen management
Automate manual workflows in kitchen operations, leveraging cutting-edge AI tools
Collaborate closely with founders and the AI/Data Science engineer to shape product and technical strategy
Stay hands-on with development, spending most of the time coding and problem-solving
Foster a culture of innovation, rapid iteration, and continuous improvement
Essential Skills and Experience

Proven software engineer with strong expertise in data engineering and system integrations
Architectural skills with the ability to design scalable, stable systems from the ground up
Experience building and managing small engineering teams
Familiarity with AI-native development tools and a passion for leveraging AI in practical applications
Highly motivated, curious, and hands-on — enjoys hackathons and tackling real-world challenges
Passionate about food and improving the food ecosystem
Comfortable working in a fast-paced startup environment with autonomy and minimal bureaucracy
Strong experience with the following technology stack is highly desirable - TypeScript, Node.js, React, NestJS, Tailwind CSS, Postgres
Package:

Salary is 70K-100k
London 3-4 days per week
Equity
Corporate bens package

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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.