67 jobs found

Leadership of evolving data, automation and insight value. Senior Data Leadership opportunity About Our Client The company is a well established organisation within the retail industry, dedicated to delivering innovative solutions and seamless operations across its global network. With its headquarters in Bad Zurzach, the company is known for its commitment to technological advancements and excellence in service delivery. Job Description This is a role for a highly experienced leader who is an engineer at heart and who has the skill to mix engineering excellence with effective leadership, stakeholder influencing and the ability to create an environment of constant evolution and data driven value. You will need the following: Develop and oversee the global data and integration strategy for the organisation. Lead the technology development to implement advanced data management and platform integration solutions. Ensure efficient and secure data governance across all business functions. Collaborate with cross-functional teams to support business objectives through data-driven insights. Drive innovation and modernisation. Engage with key stakeholders and communicate technical strategies effectively. Optimise system performance to ensure seamless operations. Stay informed about emerging technologies and trends in the retail industry. The Successful Applicant A successful Global Head of Data & Platforms Integration should have: A strong background in data management and integration technologies. Proven experience in building data platforms using cloud technologies such as AWS, Google Cloud, or Azure. Deep understanding of event-driven architecture and streaming technologies (e.g., Kafka, Confluent, Solace). Proven leadership experience within a technology-focused environment. Expertise in developing and implementing data strategies. Experience working in the retail industry or a related sector. Excellent communication and stakeholder management skills. A proactive approach to problem-solving and innovation. What's on Offer An attractive and competitive annual salary, bonus and benefits package. Opportunity to develop and lead a global team. Work in a well-established organisation in the retail industry. Be based in the picturesque location of Bad Zurzach. Further benefits to be confirmed. Take the next step in your career by applying for this exciting opportunity as Global Head of Data & Platform Integration. We look forward to receiving your application

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do Security Continuous Monitoring Oversight Establish and lead BCG's first enterprise-wide Cybersecurity Continuous Monitoring (CSCM) program, ensuring continuous visibility into system, endpoint, network, and cloud activity. Define and implement governance models, including ownership of monitoring metrics (e.g., MTTD, MTTR, false positive rate, coverage completeness). Stand up monitoring processes and integrate telemetry sources across SIEM, EDR, identity, network, and cloud platforms. Ensure monitoring outputs are actionable, enriching detection and response activities and informing risk and compliance stakeholders. Technical Architecture & Integration Design and implement a continuous monitoring reference architecture, leveraging SIEM, SOAR, UEBA, and threat intelligence. Establish enterprise logging standards covering log coverage, retention, encryption, access, and integrity requirements. Drive automation of monitoring workflows and correlation logic to reduce dwell time and improve detection accuracy. Collaborate with threat intelligence teams to ensure real-time enrichment of event data and alignment with MITRE ATT&CK adversary tactics. Program & Capability Development Build the CCM capability from the ground up, defining the operating model, reporting cadence, and engagement with SOC, risk, and compliance. Develop and track KPIs, ensuring CCM effectiveness is measurable and communicated to senior stakeholders. Prioritize creation of top 5-10 operational dashboards and reports that provide critical enterprise visibility. Mature the function from initial operational capability (M1) toward advanced maturity, embedding continuous improvement cycles. STRATEGIC LEADERSHIP Serve as the founding leader for the CCM function, creating the strategy, roadmap, and tactical build plan. Partner with enterprise stakeholders across IT, Risk, and Security to align monitoring with business risk tolerance and resilience objectives. Influence senior leaders by translating technical telemetry insights into business-relevant intelligence. Build, inspire, and retain a high-performing team of analysts and engineers over time, leveraging both full-time staff and contractors. Advise senior leadership (via SecOPS) on monitoring-driven insights, risks, and mitigation recommendations. What You'll Bring Bachelor's degree (or equivalent). Master's preferred. 10+ years in cybersecurity operations, with at least 5 years in security monitoring, SOC leadership, or equivalent detection & response functions. Proven track record of building or maturing monitoring capabilities (SIEM, SOAR, telemetry pipelines, UEBA, threat intel integration). Knowledge of log ingestion, normalization, correlation, and enrichment processes. Familiarity with leading monitoring technologies: Splunk, DataDog, Microsoft Defender, CrowdStrike Falcon, Azure/AWS/GCP telemetry, threat intelligence platforms. Expertise in metrics-driven monitoring: defining, tracking, and reporting MTTD, MTTR, false positive rates, and coverage completeness. Familiarity with frameworks like NIST CSF, MITRE ATT&CK, and ISO 27001, with experience applying these to monitoring. Experience in threat hunting, anomaly detection, and behavioral analytics. Strong leadership skills: able to recruit, mentor, and develop a high-performing team in a newly established function. Executive presence: able to present complex monitoring data and risks to senior leadership in clear, concise business terms. Additional info COMPETENCIES: Director, Cybersecurity Continuous Monitoring Leads a critical security function with measurable business impact. Establishes foundational capabilities, manages delivery, and develops a growing team to support BCG's enterprise security posture. Technical & Functional Expertise Develops and executes the continuous monitoring strategy, aligned to enterprise security goals and SecOPS direction. Demonstrates deep technical expertise in telemetry ingestion, SIEM/SOAR integration, log management, and threat intelligence enrichment. Serves as a recognized expert in monitoring and detection, providing guidance to peers and influencing related security domains. Codifies monitoring practices and standards into repeatable processes and playbooks, reducing reliance on ad hoc approaches. Evaluates and pilots emerging monitoring technologies; ensures adoption of digital tools to scale efficiency and coverage. Problem Solving & Insight Frames monitoring and detection challenges in business-relevant terms (risk, resilience, compliance). Uses data-driven methods (metrics such as MTTD, MTTR, false positives) to identify control gaps and inform improvements. Translates complex monitoring outputs into actionable insights for stakeholders across IT, Risk, and Security. Innovates in detection methodologies, leveraging behavioral analytics, anomaly detection, and adversary simulations. Acts as a problem-solver during incidents, ensuring monitoring outputs guide rapid containment and response. Effectiveness & Value Creation Leads the build-out of the CCM function from the ground up, establishing governance, processes, and reporting. Structures, plans, and executes monitoring programs and initiatives, balancing near-term needs with long-term maturity goals. Delivers measurable outcomes (visibility, faster detection, reduced dwell time) that directly enhance business resilience. Proactively manages resources, balancing full-time staff and contractors to deliver capability within deadlines. Prioritizes actions with the highest impact on reducing enterprise cyber risk. Role Model Operates with integrity, safeguarding BCG and client data through responsible monitoring practices. Promotes a culture of transparency, accountability, and data-driven decision-making in the team. Demonstrates perseverance and adaptability in building a new function with high visibility and expectations. Creates an inclusive working environment that values diverse technical and analytical perspectives. Leads by example, modeling sustainable workload practices even under incident-driven pressure. Communication, Presence & Influence Develops and delivers clear dashboards, reports, and executive communications on monitoring outputs. Shapes perspectives by translating technical monitoring metrics into risk- and business-relevant insights. Communicates effectively across technical and non-technical audiences, ensuring alignment with IT and business leaders. Leads conversations in operational reviews, incident post-mortems, and governance forums. Encourages open dialogue within the team, and fosters credibility with cross-functional partners. Teaming & Collaboration Builds strong partnerships with SOC, Offensive Security, IT Operations, and Security Architecture teams. Develops productive relationships across regions and business units to expand telemetry coverage. Works collaboratively with compliance, risk, and audit to align monitoring with enterprise governance. Anticipates and manages conflicts in data ownership, tool coverage, and priorities, resolving them constructively. Promotes knowledge-sharing across security teams, reducing silos and strengthening collective defense. People Development & Leadership Defines the vision and purpose of the CCM function, instilling clarity and purpose for the team. Coaches and mentors analysts, engineers, and contractors to expand monitoring expertise. Provides stretch opportunities for team members to develop technical and leadership skills. Balances empowerment and oversight - ensuring autonomy in monitoring activities while maintaining governance discipline. Leads quality team meetings, defines clear objectives, and ensures alignment to SecOPS priorities. Provides frequent developmental feedback, fostering a culture of continuous learning and improvement. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws click apply for full job details

Senior Data Engineer (AWS, Airflow, Python) Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Salary up to 65k plus company benefits. About Us Triad Group Plc is an award-winning digital, data, and solutions consultancy with over 35 years' experience primarily serving the UK public sector and central government. We deliver high-quality solutions that make a real difference to users, citizens and consumers. At Triad, collaboration thrives, knowledge is shared, and every voice matters. Our close-knit, supportive culture ensures you're valued from day one. Whether working with cutting-edge technology or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for you. Glassdoor score of 4.7 96% of our staff would recommend Triad to a friend 100% CEO approval See for yourself some of the work that makes us all so proud: Helping law enforcement with secure intelligence systems that keep the UK safe Supporting the UK's national meteorological service in leveraging supercomputers for next-level weather forecasting Assisting a UK government department responsible for consumer product safety with systems to track unsafe products Powering systems that help the government monitor and reduce greenhouse gas emissions from commercial transport Role Summary Triad is seeking a Senior Data Engineer to play a key role in delivering high-quality data solutions across a range of client assignments, primarily within the UK public sector. You will design, build, and optimise cloud-based data platforms, working closely with multidisciplinary teams to understand data requirements and deliver scalable, reliable, and secure data pipelines. This role offers the opportunity to shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise and maintain robust data pipelines using Apache Airflow. Implement data transformation processes using Python to clean, preprocess, and enrich data for analytical use. Collaborate with data analysts, data scientists, developers, and other stakeholders to understand and integrate data requirements. Monitor, optimise, and tune data pipelines to ensure performance, reliability, and scalability. Identify data quality issues and implement data validation and cleansing processes. Maintain clear and comprehensive documentation covering data pipelines, models, and best practices. Work within a continuous integration environment with automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable). Due to the nature of this position, you must be willing and eligible to achieve a minimum of SC clearance . To be eligible, you must have been a resident in the UK for a minimum of 5 years and have the right to work in the UK. Triad's Commitment to You As a growing and ambitious company, Triad prioritises your development and well-being: Continuous Training & Development: Access to top-rated Udemy Business courses. Work Environment: Collaborative, creative, and free from discrimination. Benefits: 25 days of annual leave, plus bank holidays. Matched pension contributions (5%). Private healthcare with Bupa. Gym membership support or Lakeshore Fitness access. Perkbox membership. Cycle-to-work scheme. What Our Colleagues Have to Say Please see for yourself on Glassdoor and our "Day in the Life" videos at the bottom of our Careers Page. Our Selection Process After applying for the role, our in-house talent team will contact you to discuss Triad and the position. If shortlisted, you will be invited for: A technical test including numerical, logical and verbal reasoning A technical interview with our consultants A management interview to assess cultural fit We aim to complete interviews and progress candidates to offer stage within 2-3 weeks of the initial conversation. Other Information If this role is of interest to you or you would like further information, please contact X and submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role. Triad is a signatory to the Tech Talent Charter and a Disability Confident Leader.

About GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and role CVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Director - Machine Learning The Director of Machine Learning provides strategic, technical, and people leadership for machine learning initiatives across the Documents & Biometrics organization. This role is accountable for defining the long term AI/ML vision and roadmap, translating business and product strategy into impactful ML capabilities, and ensuring the reliable, ethical, and scalable delivery of ML models into production. The Director operates as both a senior technical authority and an organizational leader, driving innovation, mentoring teams, influencing stakeholders, and ensuring that machine learning efforts deliver measurable customer and business value. This role requires deep expertise in machine learning and computer vision, strong leadership capability, and the ability to operate effectively across product, engineering, operations, compliance, and executive leadership functions. What you will do Strategic Leadership & Vision Define, own, and execute the long term AI and Machine Learning strategy for the Documents & Biometrics domain, aligned with company objectives and product roadmaps. Identify opportunities where machine learning can materially improve classification, extraction, fraud detection, image processing, and overall product performance. Serve as a thought leader for AI/ML within the organization, advocating for modern approaches, emerging technologies, and best practices. Technical & Delivery Leadership Provide hands on technical leadership across the full ML lifecycle, including research, model design, experimentation, validation, deployment, and continuous improvement. Raise the bar for technical excellence while fostering an inclusive, high engagement team culture. Oversee the development and productization of ML models addressing real world document and biometric challenges at scale. Establish and evolve robust MLOps practices to ensure reproducibility, reliability, observability, cost effectiveness, and consistent high quality model delivery. Ensure the availability, quality, and scalability of labeled data pipelines necessary to support ongoing model development and accuracy improvement. People & Team Leadership Lead, mentor, and develop a team of senior machine learning engineers and technical leaders, fostering a culture of trust, accountability, collaboration, and continuous learning. Build high performing teams that balance innovation with operational excellence. Set clear expectations, provide regular feedback, and support the professional growth and progression of team members. Builds trust through transparency, technical credibility, and consistent delivery. Cross Functional Collaboration Partner closely with Product Management to define AI/ML roadmaps, prioritize initiatives, and ensure timely and high impact delivery. Collaborate effectively with Engineering, Architecture, Data, Platform, Security, Legal, and Compliance teams to ensure ML systems are scalable, secure, and compliant. Represent Documents & Biometrics in cross company forums related to AI strategy, governance, and innovation. Governance, Ethics & Compliance Ensure that machine learning systems are developed and operated in accordance with applicable AI governance frameworks, regulatory requirements, and ethical best practices. Contribute to company wide AI governance efforts, including AI risk assessment, documentation, explainability, and stakeholder readiness. Promote appropriate AI literacy within the team and ensure responsible design and use of ML technologies. Operational Excellence Manage multiple complex initiatives simultaneously, balancing innovation, delivery commitments, and operational stability. Ensure adherence to industry best practices, architectural standards, and engineering quality bars. Maintain high levels of team morale, engagement, and delivery velocity. Skills we're looking for PhD in AI, Machine Learning, Computer Science, or a related field, or equivalent depth of industry experience. Deep technical expertise in machine learning, computer vision, and deep learning applied to real world, production systems. 10+ years of hands on experience in machine learning and computer vision, with a substantial portion in leadership roles. Significant experience leading and scaling machine learning teams in a product focused environment. Proven track record of delivering ML solutions end to end, from concept through production and ongoing optimization. Strong experience building and operating MLOps pipelines, data workflows, and production ML systems. Demonstrated ability to influence across organizational boundaries and communicate effectively with both technical and non technical stakeholders. Experience operating in highly dynamic, fast moving environments with competing priorities. Experience with regulated environments, AI governance frameworks, or compliance driven ML development would be beneficial Experience delivering ML solutions with measurable customer or business impact at scale To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to we'll be in touch. You can also find out more about careers at Unleash your potential and be part of our mission to power safe and rewarding digital lives.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by purpose driven technology. Join our Data & AI Strategy team and be part of the future of AI consulting. We are not just advising clients; we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands on experience in AI development - people who understand the technology and can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLE This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance to AI sovereignty in enterprise architecture and enabling the AI empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next generation data, analytics and AI platforms - you will lead the architecture and development of scalable, secure and cost efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - you will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud native solutions that unlock agility and performance. We INNOVATE with AI driven data solutions - you will create proof of concepts and minimum viable products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - you will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure as Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - you will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - you will champion user centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - we leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks. As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - campaign development, internal think tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - training to support your career development and the skills demand within the company, certifications, etc. You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next generation data platforms that power business transformation. We build end to end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise grade data platforms. In this role, you will bring deep expertise in cloud native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data driven success. YOUR PROFILE As a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI, not just through technical delivery but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team that has diverse backgrounds, perspectives and strengths. Key Skills Growth mindset and curiosity - you're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - you have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - you're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - whether through hands on development or strategic project exposure, you can confidently engage with AI concepts and tools. Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Desirable Experience Domain Experience - primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value. Proven track record of applying Agile methodologies and leading cross functional teams to deliver complex data and AI solutions. WHAT YOU'LL LOVE ABOUT WORKING HERE Our team drives business transformation by architecting next generation data and AI platforms that reimagine enterprise operating models, unlock new value streams and embed AI into the core of business strategy. We work across a wide range of industries, delivering outcomes that matter to society. You'll have the freedom to experiment, innovate, and shape your own career path, supported by mentorship from leading experts in data and AI. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively make it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to create a positive work life balance . click apply for full job details

Cloud Delivery Lead +6 months + +Fully remote working + 70 - 79 ph Inside IR35 +SC cleared role - must hold current active clearance +Sole British - due to nature of the project Skills: +SC clearance +Cloud Delivery leader +DevOps +Azure / AWS +Stakeholder engagment We are seeking an experienced delivery leader responsible for managing complex cloud and digital initiatives that support public sector transformation. Skilled in overseeing agile delivery across infrastructure, software, and service platforms with a strong focus on stakeholder engagement, budget management, and governance. Brings deep understanding of cloud technologies (Azure, AWS, GCP) and modern delivery models to ensure secure, scalable, and citizen-focused solutions. Expert in driving cross-functional collaboration, aligning IT strategies with policy outcomes, and promoting continuous improvement across programmes. Key Responsibilities Programme Leadership & Strategy Shape and oversee delivery strategy for cloud and DevOps programmes aligned to public sector transformation goals Develop delivery roadmaps and prioritise initiatives based on organisational impact and stakeholder needs Drive cross-departmental alignment to ensure consistent delivery frameworks and shared objectives Team & People Management Lead multidisciplinary agile teams including cloud engineers, DevOps specialists, analysts, and testers Mentor, coach, and support performance development to build a high-performing delivery culture Ensure effective resource planning to support sprint velocity and long-term delivery capacity Cloud Architecture & Engineering Oversight Oversee delivery of cloud-native architectures, container platforms, and hybrid infrastructure solutions Guide adoption of Infrastructure as Code (IaC) and automation practices Collaborate on designs for scalability, resilience, and high availability across platforms Delivery Operations & Agile Governance Manage sprint planning, backlog prioritisation, and iterative delivery using agile methodologies Track and report delivery metrics such as deployment frequency, lead time, and change failure rate Maintain delivery cadence and artefacts using tools such as Jira, Azure DevOps, or equivalent Stakeholder & Vendor Engagement Build strong relationships with internal teams, government departments, citizens, and suppliers Manage third-party delivery performance and SLA adherence Communicate effectively with both technical and non-technical stakeholders to drive transparency and consensus Innovation & Continuous Improvement Promote continuous improvement, learning, and feedback across delivery teams Evaluate emerging DevOps tools, cloud patterns, and delivery models Lead retrospectives and encourage knowledge sharing across programmes Experience Required The Delivery Lead will be a well-rounded service delivery professional with experience across applications, infrastructure, or digital services, and will demonstrate: Proven service delivery experience in legacy and/or digital environments Detailed working knowledge of the Industrialised Delivery Model Ability to interpret and work effectively with client contracts Experience producing mitigations for failed SLAs where required Strong documentation skills for client-facing materials and governance Confident communication and presentation skills with senior management and clients Practical working knowledge of ITIL Effective negotiation and stakeholder management capabilities If you'd like to discuss this Cloud Delivery Lead in more detail, please send your updated CV to (url removed) and I will get in touch.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by purpose driven technology. Join our Data & AI Strategy team and be part of the future of AI consulting. We are not just advising clients; we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands on experience in AI development - people who understand the technology and can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLE This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance to AI sovereignty in enterprise architecture and enabling the AI empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next generation data, analytics and AI platforms - you will lead the architecture and development of scalable, secure and cost efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - you will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud native solutions that unlock agility and performance. We INNOVATE with AI driven data solutions - you will create proof of concepts and minimum viable products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - you will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure as Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - you will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - you will champion user centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - we leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks. As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - campaign development, internal think tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - training to support your career development and the skills demand within the company, certifications, etc. You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next generation data platforms that power business transformation. We build end to end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise grade data platforms. In this role, you will bring deep expertise in cloud native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data driven success. YOUR PROFILE As a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI, not just through technical delivery but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team that has diverse backgrounds, perspectives and strengths. Key Skills Growth mindset and curiosity - you're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - you have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - you're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - whether through hands on development or strategic project exposure, you can confidently engage with AI concepts and tools. Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Desirable Experience Domain Experience - primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value. Proven track record of applying Agile methodologies and leading cross functional teams to deliver complex data and AI solutions. WHAT YOU'LL LOVE ABOUT WORKING HERE Our team drives business transformation by architecting next generation data and AI platforms that reimagine enterprise operating models, unlock new value streams and embed AI into the core of business strategy. We work across a wide range of industries, delivering outcomes that matter to society. You'll have the freedom to experiment, innovate, and shape your own career path, supported by mentorship from leading experts in data and AI. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively make it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to create a positive work life balance . click apply for full job details

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting edge solutions. Join us to drive transformation tailored to our clients' challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by purpose driven technology. Join our Data & AI Strategy team and be part of the future of AI consulting. We are not just advising clients; we're actively disrupting traditional consulting models by embedding AI into every aspect of how we work. We're looking for changemakers with recent, hands on experience in AI development - people who understand the technology and can connect it to the bigger picture. You'll help our clients build, scale and embed AI capabilities across their organisations, driving transformation from strategy through to execution. YOUR ROLE This role sits at the intersection of strategy, innovation and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance to AI sovereignty in enterprise architecture and enabling the AI empowered workforce of tomorrow, you'll be working at the cutting edge of what's next. We DESIGN next generation data, analytics and AI platforms - you will lead the architecture and development of scalable, secure and cost efficient platforms that power both operational and analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation - you will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud native solutions that unlock agility and performance. We INNOVATE with AI driven data solutions - you will create proof of concepts and minimum viable products for advanced analytics and AI platforms, ensuring they align with enterprise objectives and deliver measurable business value. We AUTOMATE for speed and reliability - you will build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps practices, CI/CD, and Infrastructure as Code tools (Terraform, CloudFormation). We ADVISE on enterprise data strategy - you will shape the vision for enterprise data platforms, develop architecture blueprints, roadmaps, and communication plans that engage stakeholders and drive adoption. We DELIVER impact through design excellence - you will champion user centric design and storytelling to create compelling data platform solutions. By applying industry frameworks (TOGAF, DAMA) and best practices, you ensure consistency, compliance, and scalability. We SUPERCHARGE delivery - we leverage the power of AI to accelerate delivery and drive innovation for our clients and our business. You will be encouraged to experiment with new AI and automation technologies to build proof of concepts, augment research and automate tasks. As part of your role alongside client work you will have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - campaign development, internal think tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - training to support your career development and the skills demand within the company, certifications, etc. You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next generation data platforms that power business transformation. We build end to end capabilities that align seamlessly with enterprise strategic objectives, enabling organisations to unlock the full potential of their data. We are looking for exceptional Data Platform Architecture & Engineering Consultants to lead the design, implementation and optimisation of modern, enterprise grade data platforms. In this role, you will bring deep expertise in cloud native architectures, data engineering, and DevOps practices to help organisations accelerate innovation and achieve data driven success. YOUR PROFILE As a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI, not just through technical delivery but by driving strategic change. Below are some of the key skills and experiences we look for in candidates. We don't expect you to hit every point - we want to build a team that has diverse backgrounds, perspectives and strengths. Key Skills Growth mindset and curiosity - you're always learning, experimenting with new technologies, and pushing the boundaries of what's possible. Strategic thinking - you have strong problem solving and analytical skills, with the ability to structure complex challenges and develop clear, actionable recommendations. Excellent communication and collaboration skills - you're confident engaging with stakeholders at all levels, translating complex ideas into clear, compelling narratives. Strong understanding of data and AI technologies - whether through hands on development or strategic project exposure, you can confidently engage with AI concepts and tools. Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture - proven experience shaping end to end solutions that enable AI/ML workloads and drive optimisation through automation. Strong Industry Expertise - 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms - 6+ years designing, implementing and managing cloud based architectures such as AWS, Azure or GCP, and hands on experience with modern data solutions like Snowflake, Databricks, BigQuery, Synapse or others. Certifications & Technical Depth - at least 3 intermediate level cloud certifications and expertise in cloud native AI data architectures. Infrastructure & Automation - proficiency in Infrastructure as Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices, and familiarity with networking, security and identity management for AI use cases. Modern Data Patterns - solid understanding of ETL/ELT processes and modern architecture patterns such as Data Mesh and Data Fabric. Migration & Transformation - experience migrating legacy systems to cloud native data stores. Consulting & Commercial Acumen - strong background in advisory roles, project scoping, budgeting and managing complex stakeholder relationships. SC Cleared / Eligible. Desirable Experience Domain Experience - primarily UK Public Sector, but also Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms and Transport. Knowledge of cloud cost management tools and best practices to optimise spend and maximise value. Proven track record of applying Agile methodologies and leading cross functional teams to deliver complex data and AI solutions. WHAT YOU'LL LOVE ABOUT WORKING HERE Our team drives business transformation by architecting next generation data and AI platforms that reimagine enterprise operating models, unlock new value streams and embed AI into the core of business strategy. We work across a wide range of industries, delivering outcomes that matter to society. You'll have the freedom to experiment, innovate, and shape your own career path, supported by mentorship from leading experts in data and AI. NEED TO KNOW At Capgemini we don't just believe in inclusion, we actively make it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. We aim to create a positive work life balance . click apply for full job details

Want to own technical direction not just tickets? Technical Lead Developer - Full Stack - JavaScript, TypeScript, Node.js Manchester (Hybrid - 1 day per week onsite) Up to 100,000 + benefits If you're the kind of engineer who naturally sets technical standards, challenges architectural decisions, and raises the bar for everyone around you, this is your opportunity to lead from the front. We're partnered with a fast-scaling UK SaaS technology company building sophisticated, data-driven digital products used by commercial teams to better understand and engage their customers. As they evolve their next-generation customer-facing platforms, they're looking for a Technical Lead to take ownership of technical delivery and architectural direction. This is a hands-on leadership role. You'll be involved from early design through to production deployment, working in a modern cloud environment, where code ships to live environments daily. Tech Environment You'll work with a modern stack including: TypeScript, JavaScript Microservices Architecture Redis, SQL Server & Snowflake AWS cloud infrastructure Mature CI/CD pipelines and DevSecOps practices It's a fast-moving SaaS environment with continuous deployment and a strong emphasis on engineering quality. About You You're a senior full stack engineer who has naturally evolved into technical leadership. 10+ years' experience in full stack development 3+ years' commercial TypeScript experience Strong Node.js expertise Proven background in system design and scalable architectures Experience building and operating large, production SaaS platforms A clean-code mindset (SOLID principles, design patterns, testable systems) Experience working within mature CI/CD environments Strong commercial awareness when designing solutions Confident communicator who collaborates effectively with stakeholders An interest in leveraging AI to improve and accelerate development Passion for performance, security, and engineering excellence Computer Science degree or equivalent real-world expertise Interested? If you're ready to shape technical direction in a high-growth SaaS environment, without stepping away from hands-on engineering, this could be the move. Apply now or contact me to talk: (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Role: Senior Akamai Security Engineer Location: Hybrid - 60% onsite / 40% remote - Knutsford, Cheshire Contract Length: Until 30/11/2026 Rate: 550 to 600 per day Inside IR35 Role Overview We're looking for a Senior Akamai Security Engineer to lead the design, implementation, and optimisation of Akamai security solutions across large-scale digital platforms. This role sits at the sharp end of web security - protecting high-traffic environments from modern threats while improving performance and resilience. Expect real engineering challenges, complex environments, and zero room for checkbox security. Key Responsibilities Architect, configure, and optimise Akamai security solutions including Kona Site Defender, WAF, Bot Manager, and CDN Lead end-to-end implementation of Akamai security policies and custom rules Perform threat analysis, log monitoring, and security incident response for web traffic Implement and manage rate limiting, bot mitigation, DDoS protection, and zero-trust controls Partner with engineering and application teams to embed secure Akamai configurations into delivery pipelines Manage Akamai properties, edge redirects, certificates, and traffic routing rules Tune WAF policies to minimise false positives while maximising threat coverage Provide technical leadership, documentation, and best-practice guidance Required Skills & Experience Extensive hands-on experience with the Akamai platform: Kona Site Defender, WAF, Bot Manager, EdgeWorkers, CDN Strong understanding of web security fundamentals: OWASP Top 10, DDoS, bot protection, API security Deep knowledge of HTTP/S, TCP/IP, DNS, TLS, caching strategies, and CDN optimisation Experience supporting large-scale, high-traffic production environments Scripting and automation skills (Python, Shell, Akamai APIs) Strong troubleshooting, analytical, and performance-tuning capability Nice to Have Akamai certifications (ACE, Akamai Security Architect) Cloud platform experience (Azure, AWS, GCP) Familiarity with DevSecOps practices, CI/CD, and Infrastructure as Code Experience with SIEM platforms and security analytics

We are delighted to be working in partnership with an established market leader in managed communications technology and systems integration who develop their own products. For over 40 years, they ve been at the forefront of innovation, transforming customer experiences through smarter communications, automation, analytics and AI. They deliver transformative communication and CX solutions throughout the UK and internationally, supporting clients with global reach and ambition. As the business expands, they are looking to onboard a DevOps SysAdmin to support teams across the business for both internal and hosted infrastructures including hardware, operating systems and server-based applications. As a Senior DevOps Systems Administrator, you ll lead automation efforts, work with cutting-edge tools, and be trusted to make key decisions that influence the direction of the business. The DevOps Engineer will help architect robust hybrid cloud solutions and streamline infrastructure with tools like Terraform, Ansible, and GitHub Actions. You ll be working in a collaborative environment that invests in your development with clear progression, technical certifications, and the opportunity to mentor others whilst growing your leadership skills. Key Responsibilities will include: Design, deploy and support infrastructure across AWS and private cloud Automate infrastructure with Terraform and Ansible Build and maintain CI/CD pipelines using GitHub Actions Implement observability tools (Grafana, Prometheus, CloudWatch) Work across teams to improve reliability and security Manage hybrid networks, IAM, firewalls and VPNs The successful DevOps Systems Administrator will have: At least 3-5 years of DevOps experience, including hands-on AWS, Experience with VMware or Proxmox. Strong Linux skills with networking and cloud security knowledge. Experience of working with Terraform, Ansible, and Kubernetes (e.g. EKS) Confident scripting in Bash, Python or Go AWS Certifications and knowledge of security tools such as Trivy would be beneficial. This is a fantastic and exciting opportunity for an experienced Systems Administrator, DevOps Engineer or Platform/Cloud Engineer to work as part of a people-first company that holds exceptional staff retention rates and career development opportunities. The role comes with a generous benefits package, including retail discounts, private healthcare, flexible working arrangements and many more. If you re ambitious, curious and can demonstrate loyalty as an employee, this is your chance to learn and grow your career in a company with pedigree, purpose and potential. Please not that this is a permanent position seeking candidates that can demonstrate longevity of service with their former employers.

Senior Data Engineer Lancashire Permanent Hybrid Competitive Salary VIQU have partnered with a leading organisation seeking a Senior Data Engineer to join their Data and Platform Engineering team during an exciting period of cloud and data platform transformation. In this hands-on role, you will design, build, and deliver modern data platforms within a cloud-first, Data Mesh environment, work closely with product managers, architects, and engineers, take ownership of your projects, and mentor junior colleagues, making a real impact on both the technology and the team. Key Responsibilities: • Lead the design, development, and delivery of cloud-based data platforms and data products as a Senior Data Engineer. • Own the full data product lifecycle, from initial design through to decommissioning. • Build and maintain robust ETL / ELT pipelines using SQL, Python, and modern tooling. • Collaborate closely with product managers, architects, and engineers to solve complex technical and business challenges. • Act as the go-to technical expert for junior engineers, providing mentorship, code reviews, and quality assurance. • Produce clear, well-documented solutions for both technical and non-technical audiences. • Support CI/CD, environment control (dev/test/prod), and effective change management practices. • Contribute to cloud platform development, with a strong preference for GCP (BigQuery), within a Data Mesh architecture. Key Requirements: • 5+ years experience as a Data Engineer with a strong focus on ETL / ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding of Data Mesh, Test Driven Design, and Agile delivery. • Experience with documentation, CI/CD pipelines, and multi-environment controls. • Excellent communication skills and the ability to lead by example within engineering teams. • Experience supporting mergers, integrations, or large-scale organisational change is highly desirable. Senior Data Engineer London Permanent Hybrid Competitive Salary Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed). Know someone exceptional for this position? Refer them and receive up to £1,000 if successful (terms apply). Follow us on LinkedIn IT Recruitment for more exciting opportunities.