Data Idols

Head of Data Engineering Salary: 100,000 - 120,000 + Benefits Location: London - hybrid We're partnering with a successful, data-driven digital business that's investing heavily in the future of its data platform. Having already embarked on a significant transformation programme, they're now looking for an experienced Head of Data Engineering to lead the next phase of their journey. This is a genuine opportunity to shape the way an organisation manages, governs and leverages its data. You'll have ownership of the data platform, influence technology strategy and establish the standards that underpin analytics, reporting and future AI initiatives. The Opportunity As the Head of Data Engineering, you'll provide technical leadership across the entire data engineering function, taking ownership of platform architecture, governance and engineering excellence. Working closely with senior stakeholders across Technology, Product, Finance and Commercial teams, you'll ensure data is reliable, well-governed and trusted throughout the business. You'll inherit a modern cloud-based platform and an established engineering team, with the autonomy to define the long-term technical roadmap and build best-in-class engineering practices. Skills and Experience Proven experience leading Data Engineering teams within modern cloud environments Deep experience designing and managing modern data warehouses and analytics engineering environments A strong understanding of data governance, quality, lineage and operational best practice The ability to influence stakeholders across technical and non-technical teams A track record of raising engineering standards and developing high-performing teams If you're looking for a senior leadership opportunity where you can combine technical expertise with strategic influence, we'd love to hear from you. Head of Data Engineering

Staff Platform Engineer - AI Salary: 90,000 - 100,000 Location: London Hybrid Data Idols are partnering with a leading UK retailer embarking on a significant AI transformation. They are looking for a Staff Platform Engineer - AI to design and build the secure, scalable platform capabilities that will underpin enterprise AI adoption across the organisation. This role sits at the heart of a major technology transformation, offering the opportunity to build the cloud-native platforms, shared services and engineering foundations that will power the next generation of AI products and intelligent applications. The Opportunity As a Staff Platform Engineer, you'll combine deep technical expertise with platform leadership, designing and delivering reusable cloud-native capabilities that enable AI at enterprise scale. You'll take ownership of complex technical challenges, building secure, high-performance platform services, APIs and integrations that accelerate the development of modern AI applications. Working closely with Architecture, Product and Engineering teams, you'll define engineering standards, influence platform strategy and ensure AI workloads are scalable, resilient and production-ready. This is a highly hands-on role where you'll help shape the core platform that enables engineering teams to deliver AI solutions faster, more securely and more consistently. Skills & Experience Strong experience designing and building cloud-native platforms on Azure Commercial experience with Databricks, Azure AI services, APIs and integration technologies Expertise developing scalable platform architecture and reusable engineering capabilities Experience supporting modern AI workloads, including LLMs, RAG and AI-powered applications A passion for technical leadership, engineering excellence and building platforms that enable teams to deliver at scale If you're looking for a role where you can shape the future of enterprise AI by building the platforms that power next-generation intelligent applications, please submit your CV for initial screening and further details. Staff Platform Engineer - AI

Staff Data Engineer Salary: 85,000 - 95,000 Location: London Hybrid Data Idols are working with one of the UK's most recognised retail brands as they continue to invest heavily in their enterprise data platform. They are looking for a Staff Data Engineer to play a pivotal role in building a modern cloud-based data ecosystem while helping shape the future of data engineering across the organisation. This role sits at the heart of a major data transformation, offering the opportunity to lead the development of scalable, production-grade data platforms that power business-critical decisions across the enterprise. The Opportunity As a Staff Data Engineer, you'll combine hands-on engineering with technical leadership, designing and delivering robust, cloud-native data solutions that enable data at scale. Working within a high-performing engineering squad, you'll take ownership of complex technical challenges, influence engineering standards, and help drive best practices across the wider data community. You'll build scalable data pipelines and frameworks using Azure, Databricks and Pyspark, while mentoring other engineers through code reviews, technical guidance and pair programming. Working closely with Product and Delivery teams, you'll play a key role in shaping the evolution of a modern cloud data platform and delivering solutions that create real business value. Skills & Experience Strong experience building cloud-native data platforms, ideally on Azure Commercial experience with Databricks, Pyspark and Python Advanced SQL and data engineering expertise Experience designing and delivering scalable ETL/data pipeline solutions A passion for technical leadership, mentoring engineers and driving engineering best practice If you're looking for a role where you can shape the future of data engineering while solving complex technical challenges at enterprise scale, please submit your CV for initial screening and further details. Staff Data Engineer

Head of AI Engineering Location: London Hybrid Salary: 180,000 - 200,000 I'm working with an AI engineering consultancy delivering some of the most exciting enterprise AI programmes in the UK. They're looking for a Head of AI Engineering to build and lead their AI Engineering capability, partnering with enterprise customers to design, deploy and scale production AI systems. This is a unique opportunity to join at a pivotal stage of growth. Rather than inheriting an established function, you'll build an AI Engineering organisation from the ground up, shape the company's technical direction and work on cutting-edge AI deployments for some of the world's largest organisations. The Opportunity As Head of AI Engineering, you'll lead a growing engineering organisation, combining strategic leadership with hands-on technical oversight. You'll work closely with enterprise customers to deliver production-ready Generative AI and LLM solutions, designing scalable architectures and intelligent agent systems that solve complex business challenges. You'll establish engineering standards, delivery methodologies and best practices while hiring, mentoring and developing a high-performing engineering team. Working alongside the senior leadership team, you'll help define the company's AI strategy and ensure customers successfully deploy and scale frontier AI technologies in production. Skills and experience Delivering production AI, LLM or Generative AI platforms Building AI applications using modern foundation models Working in consulting, professional services or customer-facing engineering environments Delivering technology into large enterprise organisations Leading senior technical conversations with executives and stakeholders If you're looking for a role that combines technical leadership, customer engagement and the opportunity to shape how frontier AI is delivered at scale, we'd love to hear from you. Head of AI Engineering

Director of Forward Deployed Engineering Salary: 180K - 200K Location: London (Hybrid) Here at Data Idols, we're working with an innovative technology business that is scaling a cutting-edge AI platform used by enterprise organisations around the world. As demand continues to grow, they are looking for a Director of Forward Deployed Engineering to build and lead a new engineering capability responsible for delivering complex AI solutions into enterprise environments. This is a rare opportunity to define how AI engineering is delivered across major organisations while building a high-performing team from the ground up. This role combines engineering leadership, technical strategy and client engagement. You'll work with senior stakeholders to shape AI implementation programmes, establish engineering best practice and build repeatable delivery frameworks that can scale across multiple enterprise clients. The Opportunity This is a highly strategic leadership role where you'll be responsible for building an engineering practice rather than simply managing projects. You'll recruit and develop exceptional engineers, define engineering standards and delivery methodologies, and oversee the successful implementation of enterprise AI platforms across a portfolio of high-profile clients. You'll help shape technical strategy while remaining close enough to delivery to influence architecture, engineering quality and client outcomes. Skills and Experience Extensive experience leading software engineering, AI engineering or enterprise architecture teams Proven track record of building and scaling high-performing engineering organisations Strong knowledge of modern AI technologies, large language models and agentic AI Experience delivering enterprise-scale cloud platforms and distributed systems Strong consulting and stakeholder management skills Commercial awareness with experience supporting business development and solution design If you are looking for a unique opportunity to build and lead one of the UK's most ambitious AI engineering teams, while working on some of the most complex AI programmes in the market, please submit your CV for initial screening and further details. Director of Forward Deployed Engineering

Software Security Engineer Salary: Up to 150,000 + Benefits Location: London (Hybrid - 3 days per week in the office) We are currently looking for a Staff Software Security Engineer to join a fast-growing, innovative technology business operating at the forefront of AI and data-driven products. This is an exciting opportunity to join a highly collaborative, engineering-led environment where security is viewed as a key enabler of innovation. Reporting to the Head of Engineering, the Staff Security Engineer will play a pivotal role in shaping the organisation's security posture, working closely with software engineers, platform teams and technical leadership to embed security throughout the software development lifecycle. This is not a traditional SOC or operational security position. Instead, the Security Engineer will focus on securing applications, cloud infrastructure and development practices, helping the business build secure products at scale whilst influencing security strategy across the wider organisation. The Opportunity As the Staff Security Engineer, you'll work at the intersection of software engineering, cloud infrastructure and cyber security, helping to build and maintain a secure-by-design culture across the business. Key responsibilities include: Driving application and product security initiatives across multiple engineering teams Conducting security reviews, threat modelling and risk assessments Implementing and improving vulnerability management processes Embedding security tooling into CI/CD pipelines and development workflows Partnering with developers to promote secure coding practices Reviewing cloud infrastructure and architecture from a security perspective Supporting incident response and remediation activities when required Defining and promoting security standards, policies and best practices Influencing technical decision-making across engineering and leadership teams This role offers the opportunity to make a genuine impact within a growing technology organisation where security is a strategic priority rather than an afterthought. What's in it for you? Salary up to 150,000 Hybrid working model Opportunity to work on cutting-edge AI and technology products High level of autonomy and influence Collaborative engineering culture Career progression opportunities as the business continues to scale Ongoing learning and professional development Pension scheme Generous holiday allowance Skills and Experience Commercial experience as a Security Engineer, Application Security Engineer, Product Security Engineer or DevSecOps Engineer Strong understanding of application security principles and secure software development practices Experience working closely with software engineering teams Hands-on experience securing cloud environments (AWS, GCP or Azure) Experience with vulnerability management, threat modelling and security reviews Knowledge of CI/CD security and modern development practices Excellent stakeholder management and communication skills Eligibility Please note that candidates must have full, unrestricted right to work in the UK. Unfortunately, sponsorship is not available for this position. If you would like to be considered for the role and feel you would be an ideal fit, please submit your CV by clicking the Apply button below.

Backend Senior Software Engineer London (Hybrid) 90,000 - 100,000 Here at Data Idols, we're working with an innovative technology business that is scaling a cutting-edge AI-powered platform used by enterprise clients globally. As the platform continues to grow, they're looking for a Backend Senior Software Engineer to play a key role in shaping its future architecture, scalability and technical direction. This is an opportunity to join a high-performing engineering team where you'll have genuine influence over architecture, technology decisions, product direction and engineering standards. The Opportunity As a Backend Senior Software Engineer, you'll take ownership of key platform components from design through to deployment, optimisation and ongoing support. Working within a modern cloud-native environment, you'll help design, build and scale the backend services that power an AI-driven platform entering a significant growth phase and supporting an increasingly large enterprise customer base. You'll be solving complex engineering challenges around scalability, performance and reliability, designing distributed systems and building resilient enterprise-grade software that forms the foundation of the platform. This is a highly visible role where you'll collaborate closely with product and engineering leadership to shape technical roadmaps, influence architecture decisions and contribute to the long-term evolution of the platform. You'll be responsible for delivering high-quality, resilient software, improving engineering processes and tooling, and driving best practice across development, testing, deployment and monitoring. Skills and Experience Strong commercial experience developing backend software using Python, alongside experience with languages such as Java, Go, Kotlin, C++ or similar Commercial experience with TypeScript Experience building and operating applications within AWS/GCP environments Strong understanding of scalable system design and distributed systems Hands-on experience with CI/CD pipelines and modern engineering practices Experience building resilient, cloud-native, enterprise-grade applications If you're an experienced backend software engineer looking to solve complex technical challenges and help shape a modern cloud-native platform, we'd love to hear from you. Backend Senior Software Engineer

Data Science Manager Salary: 100K - 120K + bonus Location: London (Hybrid) At Data Idols, we are working with a UK retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable customer and commercial impact. This is a highly visible leadership role sitting at the intersection of data science, customer insight, personalisation, and business strategy. The Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex customer and behavioural data into clear, actionable recommendations. You'll establish best practices across experimentation, customer modelling, MLOps, and data science delivery, while supporting the continued growth of the organisation's customer analytics and AI capabilities. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, customer analytics, personalisation, or statistical modelling Experience developing customer-focused models Strong stakeholder management skills Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a customer-centric, data-driven environment where your insights directly shape personalisation strategies, customer experiences, and commercial performance, please submit your CV for initial screening and further details. Data Science Manager

Senior Data Scientist Salary: 85K - 95K Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they're now looking for a Senior Data Scientist to own one of the most important parts of the company. The Opportunity This isn't a role where you'll optimise an existing model or become another specialist in a large data science team. You'll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you'll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer. You'll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes. Working alongside highly experienced founders and recognised experts in machine learning, you'll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one. This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we'd love to hear from you. Senior Data Scientist