10 jobs found

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.

We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes to your existing skillset. What are we looking for? Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills and a collaborative approach to work. You embrace the chance to try new things, learn new skills and grow your experience. It would be great if you have: Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you'll get in return is: 25 days' annual leave, rising to 30 days with each year of service. Generous family leave policies. Access to an employer pension scheme, private medical services and Group Life Assurance. A range of optional benefits such as discounted gym membership and a cycle-to-work scheme. A meaningful approach to evaluating your performance and providing feedback on your progress. At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you'll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behavior toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy.

Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, by equipping them with robust data platforms. You'll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience. Please apply even if you don't meet all the criteria, as we can provide feedback. Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits. Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate error handling. Understand how to create reusable libraries to encourage uniformity across multiple data pipelines. Document and present end to end diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self development. Experience with agile delivery lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming. Skill in delivering data platforms as a Data Engineer. Knowledge of SOLID, DRY and TDD principles and practical implementation. Commercial mindset to grow accounts organically with senior stakeholders. Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Guide on implementing a robust DevOps approach in a data project. Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Working at a technology consultancy. Using Docker and virtual environments in development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days of paid annual leave. Flexible parental leave options. Remote working available part time for all staff. Paid counselling and financial/legal advice. Pension plan with 7% employer match. Optional social and wellbeing calendar of events. Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan). SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.

Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, by equipping them with robust data platforms. You'll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You'll help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise We are looking for candidates with a range of skills and experience. Please apply even if you don't meet all the criteria, as we can provide feedback. Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits. Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate error handling. Understand how to create reusable libraries to encourage uniformity across multiple data pipelines. Document and present end to end diagrams to explain a data processing system on a cloud environment. Knowledge of diagramming notations such as C4, UML, etc. Enthusiasm for learning and self development. Experience with agile delivery lead projects and applying agile practices such as Scrum, XP, Kanban. Own the cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming. Skill in delivering data platforms as a Data Engineer. Knowledge of SOLID, DRY and TDD principles and practical implementation. Commercial mindset to grow accounts organically with senior stakeholders. Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Guide on implementing a robust DevOps approach in a data project. Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Working at a technology consultancy. Using Docker and virtual environments in development and CI/CD. Collaborating with senior stakeholders to gather requirements and maintain engagement. Using pair programming or mob programming techniques. Productionising machine learning models with data scientists. Working knowledge of statistics. Working with multidisciplinary digital and technology teams. Working within the public sector. Benefits 30 days of paid annual leave. Flexible parental leave options. Remote working available part time for all staff. Paid counselling and financial/legal advice. Pension plan with 7% employer match. Optional social and wellbeing calendar of events. Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan). SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.

Description As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data lead, equipping them with robust data platforms and joining a data team on its mission to eliminate silos and embed data knowledge into delivery teams. You will also help implement efficient data pipelines and storage. Key Responsibilities Define, shape and perfect data strategies in central and local government. Help public sector teams understand the value of their data, and make the most of it. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. Contribute to recruitment efforts and take on line management responsibilities. Skills, Knowledge & Expertise Proficiency in Git (including GitHub Actions) and ability to explain the benefits of different branch strategies. Strong experience in IaC and ability to guide how to deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures in modern data system design (Data Warehouse, Data Lakes, Data Mesh). Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. Understanding of how to create reusable libraries to encourage uniformity across multiple data pipelines. Ability to document and present end to end diagrams to explain a data processing system on a cloud environment. Some knowledge of diagram representation such as C4, UML, etc. Enthusiasm for learning and self development. Experience working on agile delivery lead projects and application of agile practices such as Scrum, XP and Kanban. Ownership of cloud infrastructure underpinning data systems through a DevOps approach. Design and implement efficient data transformation processes at scale, both in batch and streaming use cases. Skilled Data Engineer who has delivered data platforms. Knowledge of SOLID, DRY and TDD principles and how to implement them into a project. Commercial mindset for growing accounts organically with senior stakeholders. Experience enhancing project resilience by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality). Skill at guiding robust DevOps approaches in data projects. Ability to discuss tools needed for DataOps, including orchestration, data integration and analytics. Desirable Experience Experience working at a technology consultancy. Experience with Docker and virtual environments as part of the development and CI/CD process. Experience working with senior stakeholders to gather requirements and keep them engaged. Experience working with a team of engineers using techniques such as pair programming or mob programming. Experience working with data scientists to productionise advanced deliverables such as machine learning models. Working knowledge of statistics. Experience with multidisciplinary digital and technology teams. Experience within the public sector. Experience with data scientists to productionise advanced deliverables, such as machine learning models. Job Benefits Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. Our blog covers mental health, communities of practice and neurodiversity, as well as client work and best practice. We use Slack to foster community and have special interest groups for music, food and pets, 10+ dedicated Slack channels for specific communities, allies, identities and learning spaces called COPs. If you'd like to speak to someone from one of these groups, let a member of the Made Tech talent team know. Benefits 30 days paid annual leave. Flexible parental leave options. Part time remote working available for all staff. Paid counselling as well as financial and legal advice. 7% employer matched pension. An increasing number of our customers are specifying a minimum of SC (security check) clearance for projects. Successful candidates must have eligibility: 5 years UK residency and 5 years employment history (or full time education), and no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not progress your application and will contact you to let you know why. About Made Tech Made Tech is on a mission to use technology to improve society for everyone. We help organisations transform, deliver and manage world class digital products and services. Recent achievements include the design and build of a Homes for Ukraine service delivered in 2 weeks, the digitalisation of NHS services, and support for local authorities in housing repairs. We are also advancing energy outcomes by improving network performance through real time asset monitoring. We were recently a finalist for the Raising the Bar for Workplace Transparency Award.

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We're a team of creators. We write code, shape delivery, build go to market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what's not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let's create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud plays a pivotal role in supporting the success of our Cloud engineers, our clients, and internal projects. Working closely with clients, you are responsible for the successful delivery of client and internal projects by building professional relationships with key client stakeholders, challenging where appropriate. Use your technical expertise to provide best practice advice and processes within your project team and the wider capability. As our client demands expand from traditional cloud migrations to AI enablement and platform engineering, you will lead the charge in building autonomous platforms, managing AI lifecycles, and enforcing strict cost governance across cloud estates. You are seen as a leader internally and externally, through your technical expertise, guidance, and professionalism, both on and off a client. Alongside delivering for your customers, you will also support and mentor a team of cloud engineers to encourage their growth. You will be setting the technical direction of the team alongside Cloud Leads and Senior Engineers. Key Responsibilities Growth Mindset: Apply a growth mindset to identify new revenue opportunities on client accounts, working alongside the commercial team to successfully land additional work. Pre Sales Contribution: Lead and contribute to pre sales activities, RFPs, and BIDs, accounting for up to 5% to 10% of the role. Engage with the commercial team to drive high value Cloud and Data advisory roles. Ambassadorial Presence: Act as an ambassador for CreateFuture in the public space, attending events, speaking, blogging, or leveraging social media to support the growth of the Cloud capability. Hands on: you are an experienced engineer and can be active with the cloud platform tools, software development and writing efficient code for clients. Technical Leadership & Platform Support Technical Direction: Take responsibility for the technical direction and delivery of single or multiple client and internal project teams, acting as either a technical lead or a solo contributor. AI Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval Augmented Generation (RAG) architectures. Agentic Development: Build production grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches, and common service patterns across the entire CreateFuture organisation. Ensure Infrastructure as Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real time cost anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform Support: Assist the Capability Lead and architects in defining and delivering an internal collection of reusable components, reference architectures, and Proof of Concepts (PoCs). Supporting the internal IT function in helping other parts of the business use Cloud services. Culture & Collaboration: Lead by example, creating a culture of open, honest feedback, collaboration, ownership, and accountability. People Development: Create a psychologically safe environment for the team that enables them to grow by supporting their development journeys and career aspirations. Capability Growth: Work alongside the Capability Lead and Director of Cloud and Data to identify missing or inconsistent skills within the department, supporting team members through tiered certification journeys. Recruitment: Collaborate with Talent Acquisition through the recruitment process, including conducting interviews, candidate debriefs, and strategic decision making to attract top talent. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid skillset, balancing Software Engineering (30%), Platform/SRE (40%), and Data Engineering (30%), with a core focus on Security, Governance, and Cost Management. Cloud & Infrastructure (40%): Advanced Infrastructure as Code (IaC) via Terraform, advanced Kubernetes administration (clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries: Experience working in highly regulated sectors such as Financial Services or iGaming is helpful, demonstrating an understanding of strict compliance, data privacy risks, and governance guardrails. Consulting: Proven background in a client facing consulting capacity, managing stakeholders, handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge level & Certifications Multiple professional level certifications (AWS Certified Solutions Architect - Professional or Azure Architect AZ 305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We'll Offer You We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just let us know. We will do what we can to help.

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We're a team of creators. We write code, shape delivery, build go to market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what's not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let's create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud plays a pivotal role in supporting the success of our Cloud engineers, our clients, and internal projects. Working closely with clients, you are responsible for the successful delivery of client and internal projects by building professional relationships with key client stakeholders, challenging where appropriate. Use your technical expertise to provide best practice advice and processes within your project team and the wider capability. As our client demands expand from traditional cloud migrations to AI enablement and platform engineering, you will lead the charge in building autonomous platforms, managing AI lifecycles, and enforcing strict cost governance across cloud estates. You are seen as a leader internally and externally, through your technical expertise, guidance, and professionalism, both on and off a client. Alongside delivering for your customers, you will also support and mentor a team of cloud engineers to encourage their growth. You will be setting the technical direction of the team alongside Cloud Leads and Senior Engineers. Key Responsibilities Growth Mindset: Apply a growth mindset to identify new revenue opportunities on client accounts, working alongside the commercial team to successfully land additional work. Pre Sales Contribution: Lead and contribute to pre sales activities, RFPs, and BIDs, accounting for up to 5% to 10% of the role. Engage with the commercial team to drive high value Cloud and Data advisory roles. Ambassadorial Presence: Act as an ambassador for CreateFuture in the public space, attending events, speaking, blogging, or leveraging social media to support the growth of the Cloud capability. Hands on: you are an experienced engineer and can be active with the cloud platform tools, software development and writing efficient code for clients. Technical Leadership & Platform Support Technical Direction: Take responsibility for the technical direction and delivery of single or multiple client and internal project teams, acting as either a technical lead or a solo contributor. AI Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval Augmented Generation (RAG) architectures. Agentic Development: Build production grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches, and common service patterns across the entire CreateFuture organisation. Ensure Infrastructure as Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real time cost anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform Support: Assist the Capability Lead and architects in defining and delivering an internal collection of reusable components, reference architectures, and Proof of Concepts (PoCs). Supporting the internal IT function in helping other parts of the business use Cloud services. Culture & Collaboration: Lead by example, creating a culture of open, honest feedback, collaboration, ownership, and accountability. People Development: Create a psychologically safe environment for the team that enables them to grow by supporting their development journeys and career aspirations. Capability Growth: Work alongside the Capability Lead and Director of Cloud and Data to identify missing or inconsistent skills within the department, supporting team members through tiered certification journeys. Recruitment: Collaborate with Talent Acquisition through the recruitment process, including conducting interviews, candidate debriefs, and strategic decision making to attract top talent. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid skillset, balancing Software Engineering (30%), Platform/SRE (40%), and Data Engineering (30%), with a core focus on Security, Governance, and Cost Management. Cloud & Infrastructure (40%): Advanced Infrastructure as Code (IaC) via Terraform, advanced Kubernetes administration (clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries: Experience working in highly regulated sectors such as Financial Services or iGaming is helpful, demonstrating an understanding of strict compliance, data privacy risks, and governance guardrails. Consulting: Proven background in a client facing consulting capacity, managing stakeholders, handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge level & Certifications Multiple professional level certifications (AWS Certified Solutions Architect - Professional or Azure Architect AZ 305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We'll Offer You We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just let us know. We will do what we can to help.

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We're a team of creators. We write code, shape delivery, build go to market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what's not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let's create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud plays a pivotal role in supporting the success of our Cloud engineers, our clients, and internal projects. Working closely with clients, you are responsible for the successful delivery of client and internal projects by building professional relationships with key client stakeholders, challenging where appropriate. Use your technical expertise to provide best practice advice and processes within your project team and the wider capability. As our client demands expand from traditional cloud migrations to AI enablement and platform engineering, you will lead the charge in building autonomous platforms, managing AI lifecycles, and enforcing strict cost governance across cloud estates. You are seen as a leader internally and externally, through your technical expertise, guidance, and professionalism, both on and off a client. Alongside delivering for your customers, you will also support and mentor a team of cloud engineers to encourage their growth. You will be setting the technical direction of the team alongside Cloud Leads and Senior Engineers. Key Responsibilities Growth Mindset: Apply a growth mindset to identify new revenue opportunities on client accounts, working alongside the commercial team to successfully land additional work. Pre Sales Contribution: Lead and contribute to pre sales activities, RFPs, and BIDs, accounting for up to 5% to 10% of the role. Engage with the commercial team to drive high value Cloud and Data advisory roles. Ambassadorial Presence: Act as an ambassador for CreateFuture in the public space, attending events, speaking, blogging, or leveraging social media to support the growth of the Cloud capability. Hands on: you are an experienced engineer and can be active with the cloud platform tools, software development and writing efficient code for clients. Technical Leadership & Platform Support Technical Direction: Take responsibility for the technical direction and delivery of single or multiple client and internal project teams, acting as either a technical lead or a solo contributor. AI Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval Augmented Generation (RAG) architectures. Agentic Development: Build production grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches, and common service patterns across the entire CreateFuture organisation. Ensure Infrastructure as Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real time cost anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform Support: Assist the Capability Lead and architects in defining and delivering an internal collection of reusable components, reference architectures, and Proof of Concepts (PoCs). Supporting the internal IT function in helping other parts of the business use Cloud services. Culture & Collaboration: Lead by example, creating a culture of open, honest feedback, collaboration, ownership, and accountability. People Development: Create a psychologically safe environment for the team that enables them to grow by supporting their development journeys and career aspirations. Capability Growth: Work alongside the Capability Lead and Director of Cloud and Data to identify missing or inconsistent skills within the department, supporting team members through tiered certification journeys. Recruitment: Collaborate with Talent Acquisition through the recruitment process, including conducting interviews, candidate debriefs, and strategic decision making to attract top talent. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid skillset, balancing Software Engineering (30%), Platform/SRE (40%), and Data Engineering (30%), with a core focus on Security, Governance, and Cost Management. Cloud & Infrastructure (40%): Advanced Infrastructure as Code (IaC) via Terraform, advanced Kubernetes administration (clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries: Experience working in highly regulated sectors such as Financial Services or iGaming is helpful, demonstrating an understanding of strict compliance, data privacy risks, and governance guardrails. Consulting: Proven background in a client facing consulting capacity, managing stakeholders, handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge level & Certifications Multiple professional level certifications (AWS Certified Solutions Architect - Professional or Azure Architect AZ 305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We'll Offer You We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just let us know. We will do what we can to help.

Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first. We're a team of creators. We write code, shape delivery, build go to market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what's not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let's create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud plays a pivotal role in supporting the success of our Cloud engineers, our clients, and internal projects. Working closely with clients, you are responsible for the successful delivery of client and internal projects by building professional relationships with key client stakeholders, challenging where appropriate. Use your technical expertise to provide best practice advice and processes within your project team and the wider capability. As our client demands expand from traditional cloud migrations to AI enablement and platform engineering, you will lead the charge in building autonomous platforms, managing AI lifecycles, and enforcing strict cost governance across cloud estates. You are seen as a leader internally and externally, through your technical expertise, guidance, and professionalism, both on and off a client. Alongside delivering for your customers, you will also support and mentor a team of cloud engineers to encourage their growth. You will be setting the technical direction of the team alongside Cloud Leads and Senior Engineers. Key Responsibilities Growth Mindset: Apply a growth mindset to identify new revenue opportunities on client accounts, working alongside the commercial team to successfully land additional work. Pre Sales Contribution: Lead and contribute to pre sales activities, RFPs, and BIDs, accounting for up to 5% to 10% of the role. Engage with the commercial team to drive high value Cloud and Data advisory roles. Ambassadorial Presence: Act as an ambassador for CreateFuture in the public space, attending events, speaking, blogging, or leveraging social media to support the growth of the Cloud capability. Hands on: you are an experienced engineer and can be active with the cloud platform tools, software development and writing efficient code for clients. Technical Leadership & Platform Support Technical Direction: Take responsibility for the technical direction and delivery of single or multiple client and internal project teams, acting as either a technical lead or a solo contributor. AI Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval Augmented Generation (RAG) architectures. Agentic Development: Build production grade Agentic Workflows and custom AI agents, utilising advanced toolsets to bridge the widening market implementation gap. Setting Development Best Practices: Define, promote, and establish best practice tools, security approaches, and common service patterns across the entire CreateFuture organisation. Ensure Infrastructure as Code (IaC) is the organisational default and challenge inefficient legacy processes. FinOps & Governance: Enforce strict automated security and cost controls, real time cost anomaly detection, and cost estimation into the Software Development Life Cycle (SDLC) as a standard. Understanding of OpenTelemetry or other telemetry approaches. Internal Platform Support: Assist the Capability Lead and architects in defining and delivering an internal collection of reusable components, reference architectures, and Proof of Concepts (PoCs). Supporting the internal IT function in helping other parts of the business use Cloud services. Culture & Collaboration: Lead by example, creating a culture of open, honest feedback, collaboration, ownership, and accountability. People Development: Create a psychologically safe environment for the team that enables them to grow by supporting their development journeys and career aspirations. Capability Growth: Work alongside the Capability Lead and Director of Cloud and Data to identify missing or inconsistent skills within the department, supporting team members through tiered certification journeys. Recruitment: Collaborate with Talent Acquisition through the recruitment process, including conducting interviews, candidate debriefs, and strategic decision making to attract top talent. Skills & Experience Core Technical Capabilities Candidates must demonstrate a hybrid skillset, balancing Software Engineering (30%), Platform/SRE (40%), and Data Engineering (30%), with a core focus on Security, Governance, and Cost Management. Cloud & Infrastructure (40%): Advanced Infrastructure as Code (IaC) via Terraform, advanced Kubernetes administration (clusters, nodes, pods), hardcore networking (VPC peering, Service Mesh, Zero Trust security), and solution architecture experience, with a cost optimisation mindset. Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries: Experience working in highly regulated sectors such as Financial Services or iGaming is helpful, demonstrating an understanding of strict compliance, data privacy risks, and governance guardrails. Consulting: Proven background in a client facing consulting capacity, managing stakeholders, handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge level & Certifications Multiple professional level certifications (AWS Certified Solutions Architect - Professional or Azure Architect AZ 305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We'll Offer You We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. Inclusion at CreateFuture We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just let us know. We will do what we can to help.