Made Tech

Data Engineer

• Develop, operate, and maintain high-quality, cost-efficient data platforms and services for public sector organisations
• Tailor data platforms and services to client needs
• Provide maximum value to data consumers, including analysts, scientists, and business stakeholders
• Contribute hands-on engineering work to client projects
• Upskill members of client teams
• Deliver outcomes for users
• Participate in the continued development of Made Tech’s Data and AI Practice
• Share knowledge and participate in skill-transfer sessions
• Collaborate in cross-functional teams
• Support public-sector digital services that are user-centric, data-driven, and free from legacy technology

Director

• Lead successful delivery of the entire portfolio of client activity through Principal Delivery Managers
• Lead delivery across multiple clients and manage senior client relationships
• Oversee delivery across a portfolio exceeding £40 million in annual client revenues and 25% growth
• Ensure successful project execution, client satisfaction, team engagement and business growth within the UK public sector
• Report to the Chief Delivery Officer with a dotted line to the relevant Industry Director
• Ensure client outcomes are delivered on time, within scope and within budget
• Act as a trusted advisor and build senior client networks
• Build peer relationships across clients, industry and Made Tech
• Support revenue and margin growth, proposals, statements of work, resourcing and solution scoping
• Monitor engagement budgets, margins and revenues and implement profitability strategies
• Develop industry-specific skills, capabilities and communities of practice
• Identify new opportunities and markets for expansion
• Provide delivery leadership across multiple client accounts and delegate to Delivery Managers
• Manage, motivate, coach and develop the industry team
• Ensure use of appropriate delivery tools, methodologies and playbooks
• Ensure compliance with legal, governance and reporting standards
• Drive continuous improvement across deliveries

Industry Delivery Director

• Develop, operate, and maintain high-quality, cost-efficient data platforms and services for public sector organisations
• Tailor data platforms and services to client needs and maximise value for analysts, scientists, and business stakeholders
• Serve as a senior contributor on projects, delivering hands-on engineering work
• Upskill members of client teams and participate in skill-transfer sessions
• Ensure delivery outcomes for users and alignment between operational and analytical aspects of engineering solutions
• Contribute to the continued development of Made Tech’s Data and AI Practice
• Represent Made Tech internally and publicly through presentations
• Share knowledge and participate in practice development

Senior Data Engineer

Data Analyst

• Help public sector organisations become truly data-led
• Embed data knowledge and skills into delivery teams
• Provide advanced data modelling, predictive analytics, and data visualisation
• Conduct in-depth data analysis and generate reports with actionable insights
• Produce BI dashboards using Power BI, Tableau, Quicksight, and similar tools
• Collaborate with clients to understand needs and translate them into analytical solutions
• Present findings clearly and actionably
• Mentor junior analysts
• Lead data-focused projects and establish best practices
• Advise on analytical techniques and critique colleagues' findings
• Advocate for data governance and continuous improvement
• Manage and automate data-management activities
• Perform data cleansing, preparation, validation, linkage, and quality assurance
• Communicate data constraints and limitations to stakeholders
• Conduct peer reviews and validate data outputs
• Explore and apply emerging statistical methodologies

Senior Data Analyst

• Conduct in-depth data analysis and generate reports with actionable insights for client projects
• Produce BI dashboards using Power BI, Tableau, QuickSight, and similar tools
• Collaborate with clients to understand needs and translate them into analytical solutions
• Present findings clearly and actionably
• Apply statistical, qualitative, and data mining techniques
• Synthesize data and articulate impacts on decision-making
• Maintain data accuracy, accessibility, storage, governance, security, and ethical standards
• Support documentation, continuous improvement, and process automation
• Design conceptual, logical, and physical data models
• Perform data cleansing, standardisation, profiling, validation, and multi-source linkage
• Manage missing values, duplicates, and advanced cleansing
• Conduct hypothesis testing, regression analysis, and clustering
• Translate business requirements into technical solutions
• Simplify complex data insights into clear presentations
• Work with public-sector clients to improve digital services and data-driven decision-making