Data Science Festival

Lead Data Engineer Salary: £75K - £85K Location: Manchester hybrid Data Idols are working with a data-driven organisation that is expanding its cloud data engineering capability and is looking for a Lead Data Engineer to join the team. This role sits within a modern data engineering function and focuses on designing robust, scalable architectures for data ingestion and analytics, with BigQuery at the core. You'll play a key role in setting technical standards, ensuring governance, and shaping best practices across the platform. The Opportunity As the Lead Data Engineer and expert in BigQuery and GCP data services, you'll guide teams on how to build efficient, compliant, and future-proof solutions. You'll balance hands on delivery with mentorship, ensuring solutions meet performance, scalability, and regulatory expectations. This role is well suited to someone who enjoys deep technical problem solving, influencing standards, and mentoring others in a cloud native data environment. Skills and experience Strong experience designing data solutions on Google Cloud Platform Deep hands on expertise with Google BigQuery, including architecture, optimisation, and advanced SQL Familiarity with CI/CD pipelines Ability to influence technical direction and support other engineers through mentorship If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Product Data Analyst Salary: £65,000 - £75,000 Location: Fully Remote We are currently looking for an Product Data Analyst to join a fast-growing, innovative, and data-driven tech team within a global cybersecurity education company. You'll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business. As an Product Data Analyst, you'll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction. The Opportunity As part of a rapidly scaling technology company, you'll work with modern data tools to deliver real-time insights and automation. This Product Data Analyst role stands out because you'll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth. Key Responsibilities: Design, build, and maintain data models and pipelines. Create engaging dashboards and visualisations to present findings to non-technical audiences. Collaborate with stakeholders to translate business needs into data-driven outcomes. Use analytics to uncover trends, opportunities, and risks that shape company strategy. Champion data best practices and innovation within the wider team. What's in it for you? Competitive salary (based on geography and experience). Fully remote working - work from anywhere in the world. £2,500 personal development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. dbt Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech environment. If you'd like to be considered for this exciting Product Data Analyst opportunity and think you'd be a great fit, please click the Apply button below to submit your CV. We look forward to hearing from you!

Senior Backend Engineer Salary: £120K - £140K + Equity Location: London in office Data Idols are working with a rapidly scaling software company who are looking for a Senior Backend Engineer to join their team. The product sits at the intersection of AI systems, complex data workflows, and enterprise-grade reliability, turning sophisticated technology into tools that can be trusted in production. The Opportunity This role is about building serious backend infrastructure for AI systems that operate in real-world, high-stakes environments. You'll be responsible for designing and evolving the backend services that support large-scale data processing, AI model deployment, and secure enterprise workflows. Your work will ensure that complex AI functionality is delivered reliably, performs under load, and meets strict security and compliance expectations. You'll collaborate closely with machine learning engineers, product managers, and infrastructure specialists to turn advanced AI capabilities into production-ready systems. Alongside hands-on delivery, you'll influence architectural decisions, guide technical standards, and help shape how backend engineering is done as the platform scales. This is a role for someone who enjoys ownership, depth, and solving hard systems problems. Skills and experience Strong expertise in Python and modern backend frameworks Deep knowledge of relational databases, particularly PostgreSQL Strong understanding of RESTful API design and microservices patterns Experience working with cloud platforms and containerised environments (Docker, Kubernetes) Experience with CI/CD pipelines, automated testing, and Git-based workflows If you are looking for a new challenge, then please submit your CV for initial screening and more details. Senior Backend Engineer

A growing data-driven organization in Manchester is seeking a Lead Data Engineer to enhance its cloud data engineering capabilities. This role involves designing scalable architectures for data ingestion, mentoring other engineers, and ensuring compliance in a cloud-native environment. Ideal candidates will have strong experience with Google Cloud Platform and BigQuery, focusing on performance and best practices. A hybrid working model is offered with a competitive salary range of £75K - £85K.

Salary: £60,000 - £65,000 Location: Bedford - 2 days per month We are currently looking for a Software Engineer to join our innovative andfast-paced client. You'll be developing high-quality, scalable software solutions that underpin their global platform. As a Software Engineer, you'll be hands-on with the latest Azure technologies, writing clear and maintainable code, and collaborating across teams to deliver against the technical roadmap. This role is pivotal to ensuring systems remain reliable, secure, and future-ready, while also mentoring junior engineers and driving a culture of continuous improvement. The Opportunity As a Software Engineer, you'll play a key part in building reliable systems that solve real business problems, power innovation, and support millions of end users worldwide. Day-to-day responsibilities include: Designing and building robust, scalable, and secure applications. Writing clean, maintainable, and effective code across the full technology stack. Driving alignment with architecture principles and contributing to the technical roadmap. Mentoring junior engineers and leading code reviews. Collaborating with cross-functional teams to reduce silos and deliver business value. Exploring and implementing emerging technologies to improve performance and efficiency. What sets this role apart is the opportunity to directly influence the future of the company's technology stack while keeping a sharp focus on scalability, compliance, and security in a SaaS environment. What's in it for you? Competitive salary package Hybrid working for better work-life balance Private pension scheme Ongoing training and career progression Collaborative, inclusive culture where your voice is heard Opportunity to work on cutting-edge Azure cloud projects and microservices architecture Skills and Experience Strong experience in cloud architecture and Azure services (App Services, Azure Functions, Azure SQL). Full-stack development background with C#, ASP.NET, Blazor, APIs, microservices, and containers. Secure coding practices and knowledge of compliance in SaaS environments. Proven ability to design and build scalable, reliable systems. Experience working in Agile/Scrum environments. Strong collaboration skills, with a track record of mentoring and code review leadership. Nice to have: Degree in Computer Science or related field. Practical experience applying AI in data platforms. If you would like to be considered for the Senior Software Engineer role and feel you'd be an ideal fit, please send your CV by clicking the Apply button below.

Lead Data Analyst Salary: £80-90k + bonus Location: London - Remote Fully Remote We are currently looking for an Lead Data Analyst to join our client's fast-growing, collaborative, and mission-driven tech team. In this role, you'll take ownership of their end to end analytics strategy, turning complex data into actionable insights that fuel smarter decisions across product, marketing, and business operations. You will lead initiatives that shape how data informs strategy, helping the business scale intelligently while continuing to innovate. As an Lead Data Analyst, you'll design scalable data models, streamline pipelines, and empower teams with clear, visual insights. You'll play a key role in defining what success looks like, ensuring the data tells a story that drives growth, product adoption, and customer engagement. The Opportunity As the Lead Data Analyst, you'll take the lead on: Designing and implementing a data strategy that enables business wide visibility. Building and optimising data pipelines, models, and dashboards. Leading data storytelling, translating insights into actionable outcomes. Partnering with Product, Engineering, and Growth teams to define key metrics. Championing a data driven culture and mentoring analysts or engineers as needed. Leveraging product and user data to guide decision making and experimentation. This is a unique opportunity to own the analytics function within a global, remote first tech company, working at scale and influencing both business strategy and user experience. What's in it for you? Competitive salary (depending on location & experience) £2,500 annual personal development budget Private health insurance (country dependent) Fully remote, flexible working Enhanced parental leave Equipment & home office support Skills and Experience Must Have: Strong SQL and data modelling experience Advanced data visualisation skills (Tableau, Power BI or similar) Experience leading analytics or data initiatives end to end Proficiency in Python or similar for data manipulation Excellent communication and stakeholder management skills Nice to Have: Experience with dbt or modern data stack tools Understanding of experimentation / A/B testing frameworks Familiarity with event based data and product analytics Exposure to SaaS, cybersecurity, or e learning environments If you'd like to be considered for the Lead Data Analyst position and feel you'd be an ideal fit for our client's innovative and collaborative team, please send your CV by clicking the Apply button below.

A rapidly scaling software company in London seeks a Senior Backend Engineer to design and evolve backend services supporting large-scale AI and data processing. The ideal candidate will have strong expertise in Python and modern frameworks, deep knowledge of PostgreSQL, and experience with cloud platforms and CI/CD pipelines. This role involves collaborating with cross-functional teams to deliver reliable and secure enterprise workflows, making a real impact in high-stakes environments.

Python Data Engineer Contract - £500 - £600pd Location: London - 2 days per week We are currently looking for an Data Engineer to join our fast-paced, data-driven tech team within a global digital media environment. You'll play a crucial role in shaping how the business collects, models, and activates data across multiple commercial and editorial functions. In this hands on role, you will architect and build scalable data pipelines, optimise infrastructure, and deliver high value insight tools that empower decision makers. The Data Engineer will work closely with commercial, product, and analytics teams, making this position vital to the organisation's long term data strategy. The Opportunity As an Data Engineer, you'll combine engineering, analytics, and product thinking to create a reliable, high-performing data ecosystem. You'll have the opportunity to work with modern cloud technologies, large-scale datasets, and a business that truly values data as a strategic asset. Key Responsibilities Building, operating, and optimising end to end ETL/ELT data pipelines using APIs, SFTP, and containerised orchestration tools. Developing scalable and well structured data models that support commercial, programmatic, and affiliate revenue functions. Managing and improving complex data infrastructure that processes high volume, multi source Big Data. Creating, maintaining, and enhancing interactive dashboards that drive KPI focused decision making. Owning data quality, ensuring accuracy, consistency, and reliability across all core datasets. Analysing campaign, monetisation, and platform performance and providing actionable insights. Collaborating with Operations, Sales, Marketing, Finance, and Senior Analytics teams. Supporting strategic projects with advanced data modelling and insight generation. This role stands out because it sits at the intersection of engineering and commercial impact, your work directly supports revenue optimisation, global reporting, and critical business decisions. Skills and Experience Strong Python and/or PySpark Experience with cloud technologies such as GCP (BigQuery, Compute Engine, Kubernetes) and AWS (Redshift, EC2). Experience building ETL/ELT pipelines and working with APIs or SFTP integrations. Understanding of data modelling, warehousing, and Big Data environments. Strong analytical and creative problem solving skills. Ability to manage projects and collaborate effectively in a team. Experience creating util packages in Python If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below.

A global cybersecurity education company is seeking a Product Data Analyst to shape data strategies using insightful analytics. This fully remote role offers ownership over data models and visualizations that influence product direction and business growth. Key qualifications include 2+ years of experience in data analysis, strong SQL skills, and proficiency in tools like dbt and Tableau. The role provides a competitive salary and a personal development budget of £2,500.

A leading digital media company in the United Kingdom is seeking a Python Data Engineer. This role involves building scalable ETL/ELT data pipelines, optimizing data infrastructure, and delivering insightful tools. The ideal candidate has strong experience in Python, cloud technologies like GCP and AWS, and a solid understanding of data modeling. If you are eager to combine engineering with strategic business impact, this is the role for you.

Full-Stack Engineer Salary: £100,000 - £110,000 Location: London- hybrid Data Idols are working with an ambitious technology company using AI to transform how organisations learn, grow and adapt. Their mission is to build cutting edge digital products that empower people with the skills and insights they need to thrive in a rapidly changing world. Working at the intersection of software engineering, data, and intelligent automation, they are creating innovative solutions used by global enterprises. The Opportunity We're looking for an experienced Full Stack Engineer to join the team. This is a hands on role at the forefront of AI innovation, designing, building and scaling digital products that blend human learning with intelligent automation. You'll collaborate closely with product designers, data scientists and AI specialists to deliver a high performance, secure and intuitive user experience for clients. Skills and Experience Develop and maintain end to end features across both backend services and front end interfaces Design and optimise AWS infrastructure Deep knowledge of JavaScript, React and Node.js If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Data Governance Manager Salary: £70,000 - £75,000 Location: Bedford - 2 days per month We are currently looking for a Data Governance Manager to join our client's fast-paced and collaborative tech team. Reporting directly into the CTO, this role is central to ensuring their data is accurate, secure, and used to its full potential. As the Data Lead, you will shape and evolve their data infrastructure, generate actionable insights, and partner across the business to drive smarter decisions. This role is integral to the success of the company, turning data into trusted insights that empower confident decisions and create real impact. The Opportunity As Data Lead, you'll be at the heart of the mission to deliver a single source of truth for the business. You'll work with stakeholders across multiple functions, identifying opportunities where data can deliver competitive advantage, and leveraging the latest technologies to keep at the forefront of innovation. You will also be a keen people manager and show a desire to grow and nurture a data team. Key responsibilities Safeguard and optimise data quality, accuracy, and availability across the business. Develop and maintain data infrastructure to ensure scalability and efficiency. Translate complex data into meaningful insights for stakeholders. Partner with business leaders to deliver data-driven recommendations. Lead and coach a talented team of engineers, analysts, and BI specialists, fostering a culture of curiosity and growth. Champion emerging technologies to continually improve performance and efficiency. What's in it for you? Competitive salary Flexible hybrid working Private pension scheme Ongoing training and career development opportunities Opportunity to lead and shape a high-performing team Exposure to emerging technologies and real-time data projects Skills and Experience Proven leadership in data-focused teams (data engineering, BI, analytics). Strong experience in data strategy, governance, and quality initiatives. Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design. Experience with cloud platforms (Azure DevOps preferred). Excellent communication skills with ability to bridge technical and business teams. Strong knowledge of data security, privacy, and compliance. Nice to have: Degree in Computer Science or related field. Background in Agile project management. Experience applying AI to data platforms (e.g., document intelligence, behavioural modelling). If you would like to be considered for the Data Lead role and feel you would be an ideal fit, please send your CV by clicking the Apply button below.

Senior AI Engineer Salary: £80,000 - £110,000 + Equity options Location: London hybrid The Opportunity We are working with a rapidly scaling business that is tackling one of the UK's most important challenges, helping organisations unlock the potential of AI while addressing the growing skills gap. Having recently undergone a strategic rebrand, the company is now entering an accelerated growth phase and requires an experienced AI professional to join their head office team. This role is a rare opportunity to combine hands-on AI engineering expertise with client consulting, solution delivery, and technical leadership. You'll play a critical role in shaping solutions for high-profile organisations across multiple sectors, while also contributing to the internal development of new AI-driven products and training programmes. What You'll Be Doing Leading technical input in pre-sales and client-facing conversations Designing and delivering AI solutions across a variety of industries Acting as an internal consultant, applying AI to improve business processes and scale operations Supporting the company's AI training academy, mentoring and guiding diverse talent pipelines Collaborating closely with leadership, sales, delivery, and academy teams to shape innovative solutions Skills and Experience Experience working in the industry delivering AI or ML solutions A strong technical foundation with the ability to design and deploy AI systems end-to-end Confidence in client-facing roles, with the ability to communicate technical concepts clearly to non-technical audiences Experience mentoring or coaching other engineers, and an interest in developing people A flexible, entrepreneurial mindset suited to a fast-growing, high-impact environment If you are looking for a new challenge, then please submit your CV for initial screening and more details.

Applied AI Engineer Salary: £130K - £170K + Equity Location: London in office A venture-backed AI technology company is building production-grade intelligent systems used by large, complex organisations to automate high-stakes workflows. The platform focuses on reliability, scale, and safety, turning experimental AI capabilities into tools that can be trusted in real operational environments. They are hiring a Applied AI Engineer to help design and operate the core systems. The Opportunity This role is focused on building and operationalising AI systems. You'll be responsible for turning large language models into reliable, observable, and continuously improving production systems. You'll design and deploy agent-based architectures, retrieval pipelines, and evaluation frameworks. A core part of the role is ensuring these systems behave predictably in real world conditions, with clear monitoring, feedback loops, and safeguards. You'll work closely with product, engineering, and commercial teams to translate complex workflows into AI driven systems that can be trusted to operate autonomously. This is an opportunity to shape how AI agents are designed, tested, and released in a production environment. Skills and experience Experience in deploying AI-powered systems into production Strong experience in Python Practical experience with RAG architectures Clear communication and strong problem solving instincts If you are looking for a new challenge, then please submit your CV for initial screening and more details. Applied AI Engineer

An innovative AI technology company in London is seeking an Applied AI Engineer to design and operationalize reliable AI systems. The role involves working closely with product and engineering teams to translate complex workflows into autonomous AI solutions. Candidates should have strong Python skills and experience deploying AI systems in production environments. The position offers a competitive salary package, including equity options, and the opportunity to influence how AI agents are developed in real-world applications.

A leading UK retail brand is seeking a Staff Data Engineer to play a crucial role in scaling production data systems. This hybrid role involves ownership of complex data pipelines and technical leadership within the team. Ideal candidates will have hands-on experience with Azure data platforms and solid SQL skills. The position offers the opportunity to influence data engineering practices and work on impactful data platforms within a major data transformation initiative.

Data Analyst Salary: £60,000 - £70,000 Location: Fully Remote We are currently looking for a Data Analyst to join a fast-growing, innovative, and data-driven tech team within a global cybersecurity education company. You'll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business. As a Data Analyst, you'll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction. The Opportunity As part of a rapidly scaling technology company, you'll work with modern data tools to deliver real-time insights and automation. This Data Analyst role stands out because you'll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth. Key Responsibilities: Design, build, and maintain data models and pipelines. Create engaging dashboards and visualisations to present findings to non-technical audiences. Collaborate with stakeholders to translate business needs into data-driven outcomes. Use analytics to uncover trends, opportunities, and risks that shape company strategy. Champion data best practices and innovation within the wider team. What's in it for you? Competitive salary (based on geography and experience). Fully remote working - work from anywhere in the world. £2,500 personal development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Experience with dbt or similar data modelling frameworks. Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech environment. If you'd like to be considered for this exciting Data Analyst opportunity and think you'd be a great fit, please click the Apply button below to submit your CV. We look forward to hearing from you!

Senior Data Analyst - Commercial Salary: Up to £85k Location: London, Hybrid Data Idols is excited to be partnering with a rapidly growing logistics company on the hunt for a Senior Data Analyst . This is a brilliant opportunity for a proactive, hands-on analyst to deliver real commercial impact by using data to drive smarter routing, optimisation, and operational efficiency. The Opportunity Design and build dashboards that highlight key opportunities to improve business efficiency Lead business reviews with senior stakeholders, using data to tell a compelling story and guide decisions Own and shape the data strategy , playing a critical role in shaping the commercial direction of the company What's in it for you? A competitive salary package, up to £85k Hybrid working with a modern, well-connected office in Hammersmith Fast-tracked career progression within a growing and ambitious business A supportive and inclusive team culture where ideas are encouraged Skills and Experience Proficient in SQL with a strong analytical mindset Confident building dashboards , ideally with Tableau Strong stakeholder management and communication skills If you're ready to help shape smarter decisions in a business that's driving innovation in logistics, we'd love to hear from you. Click Apply to submit your CV and take the next step.

Data Strategy Manager Salary: £70,000 - £75,000 Location: Bedford - 2 days per month We are currently looking for a Data Strategy Manager to join our client's fast-paced and collaborative tech team. Reporting directly into the CTO, this role is central to ensuring their data is accurate, secure, and used to its full potential. As the Data Lead, you will shape and evolve their data infrastructure, generate actionable insights, and partner across the business to drive smarter decisions. This role is integral to the success of the company, turning data into trusted insights that empower confident decisions and create real impact. The Opportunity As Data Lead, you'll be at the heart of the mission to deliver a single source of truth for the business. You'll work with stakeholders across multiple functions, identifying opportunities where data can deliver competitive advantage, and leveraging the latest technologies to keep at the forefront of innovation. You will also be a keen people manager and show a desire to grow and nuture a data team. Key responsibilities Safeguard and optimise data quality, accuracy, and availability across the business. Develop and maintain data infrastructure to ensure scalability and efficiency. Translate complex data into meaningful insights for stakeholders. Partner with business leaders to deliver data-driven recommendations. Lead and coach a talented team of engineers, analysts, and BI specialists, fostering a culture of curiosity and growth. Champion emerging technologies to continually improve performance and efficiency. What's in it for you? Competitive salary Flexible hybrid working Private pension scheme Ongoing training and career development opportunities Opportunity to lead and shape a high-performing team Exposure to emerging technologies and real-time data projects Skills and Experience Proven leadership in data-focused teams (data engineering, BI, analytics). Strong experience in data strategy, governance, and quality initiatives. Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design. Experience with cloud platforms (Azure DevOps preferred). Excellent communication skills with ability to bridge technical and business teams. Strong knowledge of data security, privacy, and compliance. Nice to have Degree in Computer Science or related field. Background in Agile project management. Experience applying AI to data platforms (e.g., document intelligence, behavioural modelling). If you would like to be considered for the Data Lead role and feel you would be an ideal fit, please send your CV by clicking the Apply button below.

Overview Data Lead - Salary: £70,000 - £75,000; Location: Bedford - 2 days per month We are currently looking for a Data Lead to join our client's fast-paced and collaborative tech team. Reporting directly into the CTO, this role is central to ensuring their data is accurate, secure, and used to its full potential. As the Data Lead, you will shape and evolve their data infrastructure, generate actionable insights, and partner across the business to drive smarter decisions. This role is integral to the success of the company, turning data into trusted insights that empower confident decisions and create real impact. The Opportunity As Data Lead, you'll be at the heart of the mission to deliver a single source of truth for the business. You'll work with stakeholders across multiple functions, identifying opportunities where data can deliver competitive advantage, and leveraging the latest technologies to keep at the forefront of innovation. Responsibilities Safeguard and optimise data quality, accuracy, and availability across the business. Develop and maintain data infrastructure to ensure scalability and efficiency. Translate complex data into meaningful insights for stakeholders. Partner with business leaders to deliver data-driven recommendations. Lead and coach a talented team of engineers, analysts, and BI specialists, fostering a culture of curiosity and growth. Champion emerging technologies to continually improve performance and efficiency. What's in it for you? Competitive salary Flexible hybrid working Private pension scheme Ongoing training and career development opportunities Opportunity to lead and shape a high-performing team Exposure to emerging technologies and real-time data projects Skills and Experience Proven leadership in data-focused teams (data engineering, BI, analytics). Strong experience in data strategy, governance, and quality initiatives. Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design. Experience with cloud platforms (Azure DevOps preferred). Excellent communication skills with ability to bridge technical and business teams. Strong knowledge of data security, privacy, and compliance. Nice to have: Degree in Computer Science or related field. Background in Agile project management. Experience applying AI to data platforms (e.g., document intelligence, behavioural modelling). How to apply If you would like to be considered for the Data Lead role and feel you would be an ideal fit, please send your CV by clicking the Apply button below.