7 jobs found

Job Purpose The Cloud Infrastructure Engineer is responsible for implementing, supporting, and optimising Lucy Group's public and private cloud platforms. Working across public and private cloud environments, the role delivers secure, resilient, and high-performing infrastructure services to support global operations. This includes managing deployments, monitoring performance, ensuring compliance with governance frameworks, and collaborating with colleagues to deliver enterprise grade cloud capabilities. Job Context Operating within Group IS, the Cloud Infrastructure Engineer works alongside architects, other engineers, and cross functional technology teams to deliver cloud infrastructure services. Reporting directly to Lead Cloud Architect, this role plays a key part in the execution of cloud strategies, technical implementations, and operational excellence initiatives. While the role does not have budgetary sign off, it is instrumental in ensuring that cloud platforms meet business needs and governance standards. Business Overview Lucy Group is an international group that makes the built environment sustainable. Our electric businesses advance the transition to a carbon free world with infrastructure that enables renewable energy and smart cities. Our real estate businesses support sustainable living through responsible property development and investment. Job Dimensions Operational responsibility for cloud infrastructure supporting 1,000+ global users. Implementation and support of public cloud and private cloud environments. Contribution to disaster recovery, performance optimisation, and capacity planning. Collaboration with network, security, and application teams to deliver integrated solutions. Key Accountabilities Deploy, configure, and maintain cloud services and infrastructure components in our public and private cloud environments. Monitor cloud environments to ensure performance, availability, and security compliance. Implement governance aligned configurations and policies in line with architectural guidance. Troubleshoot and resolve cloud infrastructure issues, escalating as necessary. Contribute to automation initiatives using Infrastructure as Code (IaC) and scripting. Support backup, disaster recovery, and business continuity processes. Work with vendors and service providers to resolve incidents and implement improvements. Maintain accurate documentation of configurations, procedures, and changes. Participate in project delivery, providing technical input and operational handover. Stay current with cloud technology trends and recommend improvements where appropriate. Expand automation for cloud deployments to increase efficiency and reduce manual effort. Introduce cloud native monitoring tools to enhance observability and proactive issue detection. Gain cross training in DevOps practices to improve collaboration with development teams. Qualifications, Experience & Skills Degree or equivalent experience in IT, Computer Science, or related discipline. 3+ years in a cloud engineering or infrastructure operations role. Hands on experience with Microsoft Azure, AWS and/or Nutanix. Knowledge of virtualisation, networking, and storage technologies in cloud and hybrid contexts. Experience with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates. Familiarity with cloud governance, compliance, and cost optimisation practices. ITIL Foundation or equivalent service management experience. Relevant cloud certifications (e.g., Microsoft Certified: Azure Administrator Associate) are desirable. Behavioural Competencies Technical Expertise - Maintains up-to-date knowledge of cloud infrastructure technologies. Problem Solving - Applies logical and structured approaches to diagnosing and resolving issues. Collaboration - Works effectively within cross functional teams. Learning Agility - Adapts quickly to new tools, processes, and technologies. Resilience - Maintains focus and performance during incident resolution. Attention to Detail - Ensures quality and accuracy in configurations and documentation.

We're looking for a Senior GCP Cloud & DevOps Engineer to join our team in Bradford on a 12-month FTC. This is a hybrid role, with two days in the office and three days working remotely each week. Responsibilities Own and evolve the end-to-end GCP platform, covering infrastructure design, deployment, lifecycle management, and ongoing optimisation. Design, build, and maintain scalable, secure cloud infrastructure to support AI and data products. Implement and manage CI/CD pipelines to enable fast, reliable, and consistent product delivery. Drive platform reliability and performance through strong observability, monitoring, and AIOps practices. Ensure platform security, governance, and compliance, working closely with central Security and adhering to best practices. Optimise cloud spend and resource usage, balancing cost efficiency with performance and scalability. Collaborate closely with engineering, data, and product teams to enable rapid development and innovation. Create and maintain clear, high-quality documentation across platforms, services, and data products. Define, track, and improve key platform KPIs such as availability, deployment frequency, MTTR, and security posture. Support incident management, troubleshooting, and continuous improvement of platform operations. Essential Qualifications Proven experience working in high-performing Platform / DevOps teams. Strong hands on experience with Google Cloud Platform (GCP). Solid background in DevOps or Platform Engineering, building scalable, automated infrastructure. Expertise in CI/CD design and implementation (e.g., GitHub Actions, Terraform, Cloud Build). Experience supporting AI driven applications, microservices, and API led architectures. Strong troubleshooting and debugging skills using logs, tracing, and observability tools. Good understanding of cloud networking, security principles, IAM, and VPC design. Ability to operate effectively in fast paced, product led environments with multiple stakeholders. Desirable Qualifications GCP Professional level certification. Experience working with offshore teams or third party delivery partners. Exposure to AIOps practices and advanced observability tooling (e.g., OpenTelemetry). Experience implementing cloud governance and security frameworks at scale. Strong awareness of cost optimisation strategies within GCP environments. Benefits Competitive salary + bonus. 25 days annual leave, with the option to purchase 5 more. Enjoy your birthday off, plus an additional 3 days of annual leave after 5 years of service. Wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance. Matched pension contribution up to 10%. Car benefit scheme. Online learning platform for continuous career development. Equal Opportunity Statement Liberty Global is an equal opportunity employer, committed to an inclusive environment and accommodating all candidates.

Gas and LNG Data Analyst (12 Month FTC) Department: Analysis Employment Type: Full Time Location: London, UK Reporting To: Head of Data Analysis Description Who We Are Petroineos Trading Limited (PITL) is a joint venture between PetroChina International London (PCIL), the international trading arm of PetroChina, and INEOS, one of the world's leading petrochemical, chemical and energy companies. Established in 2011, PETR combines the global trading and supply capabilities of PetroChina with the refining, manufacturing and energy expertise of INEOS, creating an integrated energy trading and refining business with a significant presence across European and international markets. PetroChina International forms part of PetroChina Company Limited, the publicly listed arm of China National Petroleum Corporation (CNPC), one of the world's largest integrated energy companies. Through its global network, PetroChina International operates across major trading hubs including London, Singapore and Houston, supporting international trading, logistics, storage and energy supply operations. By leveraging the strategic strengths of both shareholders, Petroineos has built a strong position across refining, energy trading, logistics and market access. Today, the wider group participates in global crude oil, refined products, natural gas, LNG, power and environmental markets, supported by extensive infrastructure, commercial partnerships and trading capabilities. Who You Are / Your Next Challenge As part of our continued investment in data, analytics and artificial intelligence capabilities, Petroineos Trading Limited (PITL) is expanding its European Gas and LNG analytics function. We are seeking a curious, commercially aware and technically capable Gas and LNG Data Analyst to join our growing AI Foundry (AIF) team on a full time / 12 month fixed term contract basis. This role is ideal for an individual with prior experience in data analytics, data engineering or quantitative analysis who enjoys transforming complex datasets into meaningful market intelligence. Whether your experience has been gained within energy, commodities, financial services, technology or another data driven environment, this position offers an exciting opportunity to apply modern data and AI technologies to support front office trading activities. Based in our London office and reporting to the Head of Data Analysis, you will work closely with Data Scientists, Traders and Commercial teams to develop the data and analytical models that underpin our understanding of the European Gas and LNG markets. You will have the opportunity to work with a wide range of data sources, including supply and demand fundamentals, storage inventories, pipeline flows, LNG vessel movements and market intelligence datasets. This is a hands on role for someone who enjoys solving complex problems, by utilising scalable data solutions and technology to build data driven decision making analytics. You will be responsible for transforming raw and often unstructured information into robust, automated data products that support trading strategies, market analysis and forecasting activities. Working within a collaborative and innovative environment, you will gain exposure to modern data platforms, AI enabled development tools and front office market activity, while helping shape the future of our European Gas and LNG analytics capability. If you are looking for a role where you can combine technical expertise, commercial awareness and innovation, we would like to hear from you. Key Responsibilities Develop and maintain automated data collection processes using APIs, web scraping tools and external market data sources. Source, validate and monitor datasets to ensure high levels of accuracy, quality and reliability. Clean, transform and model data using Python, Pandas and SQL. Support European Gas and LNG analysis through datasets covering flows, storage, supply and demand fundamentals, and cargo tracking. Analyse data to identify trends, anomalies and market insights that support business decision making. Build dashboards, visualisations and analytical tools for traders and analysts. Collaborate with Data Scientists to develop and enhance analytical, AI and machine learning solutions. Utilise modern AI assisted development tools to improve efficiency, automation and delivery. Maintain high standards of data governance, security and documentation. Take ownership of projects from requirements gathering through to deployment and ongoing support. What we're looking for / Skills that will help you in the role Required Previous experience within data analytics, data engineering or a related analytical role. Strong Python programming skills, including working knowledge of Pandas is essential. Experience using SQL to transform, analyse and manage datasets is highly advantageous. Familiarity with APIs, web scraping or automated data collection techniques. Experience building dashboards, visualisations or analytical tools for end users. Good understanding of version control tools such as Git. Experience working with structured, semi structured and unstructured data. Strong analytical, problem solving and communication skills. High attention to detail and commitment to data quality. Collaborative mindset with the ability to engage effectively with both technical and non technical stakeholders. Interest in energy markets, commodities, Gas or LNG is advantageous. Skills That Will Further Support Your Success Experience developing analytical or forecasting models. Exposure to AI, machine learning or AI assisted development tools. Experience working with market data providers, vendor APIs or cloud based data platforms. Knowledge preferably of Gas, and/or LNG, Power although other commodity markets will be considered. What you get in return This role offers a competitive salary (commensurate with experience), plus a comprehensive benefits package including insurance coverage; private medical (for self and family); travel (for self and family); dental (for self); life assurance, gym membership, pension contributory by the company, up to 25 days holiday allowance per annum rising after service (in addition to bank holidays), discretionary performance related bonus and more. Application Deadline: 2nd August 23:59 Start Date: ASAP

Job Description In our continuous journey of growth and innovation at Carnival UK, we are seeking a Manager, Engineering Lead - Platform Infrastructure to bring fresh insights and expertise to our technology department on a 12 month FTC basis. As Manager, Engineering Lead - Platform Infrastructure, you will play a critical role in ensuring the stability, performance and ongoing evolution of Carnival UK's platform infrastructure estate. Operating across hybrid cloud and legacy environments, you will provide leadership and governance for engineering activities delivered through strategic technology partners, while acting as a key link between technical teams and business stakeholders. This pivotal role will involve: Lead the operational management of platform infrastructure across both hybrid cloud and legacy environments Coordinate and govern engineering activities delivered by external engineering partners and vendors Hold vendors accountable for delivery quality, technical standards and adherence to processes Act as the bridge between technical engineering teams and business stakeholders while supporting business as usual operations and project delivery activity This role is positioned at CUK07level within our organisation and is available on a full time, fixed term basis for 12 months. We offer hybrid work including up to two days from home. Who We Are Carnival UK is a leading name in the holiday sector, dedicated to delivering unforgettable holiday happiness to our guests. Our success is built on a foundation of diverse talents and perspectives, and we believe in fostering an inclusive environment where everyone can thrive. What You'll Bring Strong cloud infrastructure and platform engineering knowledge with experience in cloud and hybrid cloud environments Experience with AWS and Kubernetes Knowledge of Terraform, Jenkins, infrastructure automation and cloud native technologies Experience providing engineering governance, technical oversight and managing outsourced engineering providers or technical vendors About You: The Ideal Candidate Strong stakeholder management skills and the ability to build credibility and trusted relationships Excellent communication skills across technical and non technical audiences Strong business acumen with the ability to balance technical priorities with business requirements Leadership capability within vendor led engineering environments, influencing outcomes without direct authority Why Join Us? Employee Discounted Cruising plus Friends and Family offers Minimum 25 days leave, bank holiday allowance and holiday trading scheme Extensive learning and development opportunities Contributory Defined Contribution Pension scheme Company paid Health Cash Plan and health assessment

Gas and LNG Data Analyst (12 Month FTC) Department: Analysis Employment Type: Full Time Location: London, UK Reporting To: Head of Data Analysis Description Who We Are Petroineos Trading Limited (PITL) is a joint venture between PetroChina International London (PCIL), the international trading arm of PetroChina, and INEOS, one of the world's leading petrochemical, chemical and energy companies. Established in 2011, PETR combines the global trading and supply capabilities of PetroChina with the refining, manufacturing and energy expertise of INEOS, creating an integrated energy trading and refining business with a significant presence across European and international markets. PetroChina International forms part of PetroChina Company Limited, the publicly listed arm of China National Petroleum Corporation (CNPC), one of the world's largest integrated energy companies. Through its global network, PetroChina International operates across major trading hubs including London, Singapore and Houston, supporting international trading, logistics, storage and energy supply operations. By leveraging the strategic strengths of both shareholders, Petroineos has built a strong position across refining, energy trading, logistics and market access. Today, the wider group participates in global crude oil, refined products, natural gas, LNG, power and environmental markets, supported by extensive infrastructure, commercial partnerships and trading capabilities. Who You Are / Your Next Challenge As part of our continued investment in data, analytics and artificial intelligence capabilities, Petroineos Trading Limited (PITL) is expanding its European Gas and LNG analytics function. We are seeking a curious, commercially aware and technically capable Gas and LNG Data Analyst to join our growing AI Foundry (AIF) team on a full time / 12 month fixed term contract basis. This role is ideal for an individual with prior experience in data analytics, data engineering or quantitative analysis who enjoys transforming complex datasets into meaningful market intelligence. Whether your experience has been gained within energy, commodities, financial services, technology or another data driven environment, this position offers an exciting opportunity to apply modern data and AI technologies to support front office trading activities. Based in our London office and reporting to the Head of Data Analysis, you will work closely with Data Scientists, Traders and Commercial teams to develop the data and analytical models that underpin our understanding of the European Gas and LNG markets. You will have the opportunity to work with a wide range of data sources, including supply and demand fundamentals, storage inventories, pipeline flows, LNG vessel movements and market intelligence datasets. This is a hands on role for someone who enjoys solving complex problems, by utilising scalable data solutions and technology to build data driven decision making analytics. You will be responsible for transforming raw and often unstructured information into robust, automated data products that support trading strategies, market analysis and forecasting activities. Working within a collaborative and innovative environment, you will gain exposure to modern data platforms, AI enabled development tools and front office market activity, while helping shape the future of our European Gas and LNG analytics capability. If you are looking for a role where you can combine technical expertise, commercial awareness and innovation, we would like to hear from you. Key Responsibilities Develop and maintain automated data collection processes using APIs, web scraping tools and external market data sources. Source, validate and monitor datasets to ensure high levels of accuracy, quality and reliability. Clean, transform and model data using Python, Pandas and SQL. Support European Gas and LNG analysis through datasets covering flows, storage, supply and demand fundamentals, and cargo tracking. Analyse data to identify trends, anomalies and market insights that support business decision making. Build dashboards, visualisations and analytical tools for traders and analysts. Collaborate with Data Scientists to develop and enhance analytical, AI and machine learning solutions. Utilise modern AI assisted development tools to improve efficiency, automation and delivery. Maintain high standards of data governance, security and documentation. Take ownership of projects from requirements gathering through to deployment and ongoing support. What we're looking for / Skills that will help you in the role Required Previous experience within data analytics, data engineering or a related analytical role. Strong Python programming skills, including working knowledge of Pandas is essential. Experience using SQL to transform, analyse and manage datasets is highly advantageous. Familiarity with APIs, web scraping or automated data collection techniques. Experience building dashboards, visualisations or analytical tools for end users. Good understanding of version control tools such as Git. Experience working with structured, semi structured and unstructured data. Strong analytical, problem solving and communication skills. High attention to detail and commitment to data quality. Collaborative mindset with the ability to engage effectively with both technical and non technical stakeholders. Interest in energy markets, commodities, Gas or LNG is advantageous. Skills That Will Further Support Your Success Experience developing analytical or forecasting models. Exposure to AI, machine learning or AI assisted development tools. Experience working with market data providers, vendor APIs or cloud based data platforms. Knowledge preferably of Gas, and/or LNG, Power although other commodity markets will be considered. What you get in return This role offers a competitive salary (commensurate with experience), plus a comprehensive benefits package including insurance coverage; private medical (for self and family); travel (for self and family); dental (for self); life assurance, gym membership, pension contributory by the company, up to 25 days holiday allowance per annum rising after service (in addition to bank holidays), discretionary performance related bonus and more. Application Deadline: 2nd August 23:59 Start Date: ASAP

Job Purpose The Cloud Infrastructure Engineer is responsible for implementing, supporting, and optimising Lucy Group's public and private cloud platforms. Working across public and private cloud environments, the role delivers secure, resilient, and high-performing infrastructure services to support global operations. This includes managing deployments, monitoring performance, ensuring compliance with governance frameworks, and collaborating with colleagues to deliver enterprise grade cloud capabilities. Job Context Operating within Group IS, the Cloud Infrastructure Engineer works alongside architects, other engineers, and cross functional technology teams to deliver cloud infrastructure services. Reporting directly to Lead Cloud Architect, this role plays a key part in the execution of cloud strategies, technical implementations, and operational excellence initiatives. While the role does not have budgetary sign off, it is instrumental in ensuring that cloud platforms meet business needs and governance standards. Business Overview Lucy Group is an international group that makes the built environment sustainable. Our electric businesses advance the transition to a carbon free world with infrastructure that enables renewable energy and smart cities. Our real estate businesses support sustainable living through responsible property development and investment. Job Dimensions Operational responsibility for cloud infrastructure supporting 1,000+ global users. Implementation and support of public cloud and private cloud environments. Contribution to disaster recovery, performance optimisation, and capacity planning. Collaboration with network, security, and application teams to deliver integrated solutions. Key Accountabilities Deploy, configure, and maintain cloud services and infrastructure components in our public and private cloud environments. Monitor cloud environments to ensure performance, availability, and security compliance. Implement governance aligned configurations and policies in line with architectural guidance. Troubleshoot and resolve cloud infrastructure issues, escalating as necessary. Contribute to automation initiatives using Infrastructure as Code (IaC) and scripting. Support backup, disaster recovery, and business continuity processes. Work with vendors and service providers to resolve incidents and implement improvements. Maintain accurate documentation of configurations, procedures, and changes. Participate in project delivery, providing technical input and operational handover. Stay current with cloud technology trends and recommend improvements where appropriate. Expand automation for cloud deployments to increase efficiency and reduce manual effort. Introduce cloud native monitoring tools to enhance observability and proactive issue detection. Gain cross training in DevOps practices to improve collaboration with development teams. Qualifications, Experience & Skills Degree or equivalent experience in IT, Computer Science, or related discipline. 3+ years in a cloud engineering or infrastructure operations role. Hands on experience with Microsoft Azure, AWS and/or Nutanix. Knowledge of virtualisation, networking, and storage technologies in cloud and hybrid contexts. Experience with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates. Familiarity with cloud governance, compliance, and cost optimisation practices. ITIL Foundation or equivalent service management experience. Relevant cloud certifications (e.g., Microsoft Certified: Azure Administrator Associate) are desirable. Behavioural Competencies Technical Expertise - Maintains up-to-date knowledge of cloud infrastructure technologies. Problem Solving - Applies logical and structured approaches to diagnosing and resolving issues. Collaboration - Works effectively within cross functional teams. Learning Agility - Adapts quickly to new tools, processes, and technologies. Resilience - Maintains focus and performance during incident resolution. Attention to Detail - Ensures quality and accuracy in configurations and documentation.