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Job Details Hours: Full time, 37.5 per week, Monday - Friday. Location: Hybrid remote working, with 3 days a week in our VHQ, Crawley based on operational requirements. Contract: Permanent. Closing Date: 7th November 2025 In a nutshell At Virgin Atlantic Airways, we believe that everyone can take on the world, and it's our vision to become the most loved travel company. As we embark on this next exciting stage of our journey, we're harnessing our spirit of entrepreneurship and innovation to challenge the status quo. As a Software Developer - AI, you will focus on the development and delivery of Gen AI driven software solutions, working within a dynamic team to enhance Virgin Atlantic's digital products. You will be responsible for writing clean, efficient, and maintainable code, primarily in Python and JavaScript, while contributing to the successful deployment of Gen AI technologies that directly impact the company's customer experience (CX) vision. You will collaborate closely with other software engineers, product teams, and AI specialists to develop LLM AI-powered applications, ensuring their scalability, security, observability and performance. This role is hands on, with a primary focus on coding, testing, and deploying AI solutions in a fast paced, agile environment. Day to day Some of your key responsibilities will be: <ul> <li>Write, test, and maintain clean, efficient code in Python and JavaScript.</li> <li>Develop and implement Gen AI powered experiences or services in alignment with business and product requirements.</li> <li>Participate in code reviews to ensure high quality and consistent coding standards.</li> <li>Work closely with cross functional teams to integrate AI models into digital products, ensuring seamless user experiences.</li> <li>Collaborate with AI specialists to test and deploy models, ensuring they meet performance and scalability requirements.</li> <li>Stay up to date with the latest AI and machine learning technologies, incorporating new tools and techniques into your development work.</li> <li>Participate in agile team meetings, providing input on sprint planning, task estimation, and iterative improvements.</li> <li>Work effectively with the team to troubleshoot and resolve issues in AI development. - Collaborate with senior developers and AI engineers to solve technical challenges and</li> <li>Work effectively with the team to troubleshoot and resolve issues in AI development. - Collaborate with senior developers and AI engineers to solve technical challenges and contribute to project delivery</li> </ul> About you The skills and experience we are looking for you to bring are: <ul> <li>Demonstrable experience in software development, with exposure to AI or machine learning projects.</li> <li>Proficient in Python and JavaScript, with hands on experience in building Gen AI proof of concepts or integrating LLM APIs.</li> <li>Familiarity with AI platforms such as OpenAI, Anthropic, or Databricks.</li> <li>Strong understanding of AI technologies and tools, including Generative AI and machine learning models.</li> <li>Experience working within an agile development environment, with an emphasis on collaboration and iterative delivery.</li> <li>Ability to write clean, maintainable code and contribute to code reviews.</li> <li>Strong problem solving skills with a focus on delivering quality software solutions.</li> <li>Eagerness to learn and develop new skills in AI and machine learning</li> </ul> Be yourself - Our differences make us stronger Our customers come from all walks of life and so do our colleagues. That's why we're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you'd like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, feeling confident that we've got your individual considerations covered. Our recipe for Leadership At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit. Want to learn more? Click here

Virgin Holidays

Developer - Software AI

Data Engineering Lead - Hybrid - Azure/Databricks - LondonPermanentSalary: £90,000 Are you a seasoned Data Engineering professional ready to lead the charge in building scalable, high-performance data platforms? An industry leading, global firm is seeking a Data Engineering Lead to drive innovation across their hybrid Azure/Databricks environment. About the role: <ul> <li>Shape data strategy for global projects</li><li>Lead a talented team of BI Developers</li><li>Enjoy a flexible working culture and industry-leading benefits</li><li>Work with cutting-edge tech in a collaborative, inclusive environment</li></ul> Key Responsibilities: <ul> <li>Architect and optimize robust data pipelines for large-scale ingestion, transformation, and delivery</li><li>Leverage Azure and Databricks to enable seamless data integration and enrichment</li><li>Implement best practices for orchestration, monitoring, and error handling</li><li>Lead and mentor a BI team, ensuring timely delivery of dashboards and data products</li><li>Champion data governance, quality, and security across platforms</li></ul> Requirements: <ul> <li>Proven expertise in Azure, SQL, Databricks, and Azure Data Factory</li><li>Experience implementing medallion architecture frameworks</li><li>Strong leadership and stakeholder engagement skills</li><li>Hands-on Power BI and DAX experience</li></ul>

Data Engineering Lead

A growing Microsoft Partner Consultancy are looking for a passionate Data Engineer join their impressive team, and work on cutting-edge projects for a variety of customers. The role is home-based, with some element of travel to client sites when required, and to company conferences and events (expenses-paid). For this reason, they're able to consider candidates across the UK. This role sits within their specialist Data Practice - where you'll work as part of an Agile team to deliver modern data solutions for their clients, enabling better decision-making and driving innovation. You'll work on projects end-to-end, from running workshops to gather requirements, through to solution design, development, implementation and support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more. This role would be well-suited to a Data Engineer looking to take their first-step into Consultancy, or someone who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on both personal and professional development! We are looking for experience in most of the below areas <ul> <li>Experience in a Data Engineering (or similar) role</li><li>Strong scripting skills in SQL and Python</li><li>Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric</li><li>Knowledge of data lakes and medallion lake house design</li><li>Working knowledge of Power BI or similar is desirable </li><li>Strong communication, stakeholder management and problem-solving skills</li><li>Microsoft Certifications are desirable but not essential</li></ul> Benefits: <ul> <li>Salary of up to £55,000 depending upon experience</li><li>Annual salary review</li><li>Bonus up to 10%</li><li>Pension - 5% matched</li><li>25 days holiday</li><li>Home working allowance</li><li>Enhanced parental pay and leave</li><li>Support towards industry certifications</li><li>And much more!</li></ul> Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Data Engineering Consultant

Are you looking to benefit from a new career in Data Analysis?If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data AnalystWe do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:<ul><li>Junior Data Analyst - £30,000</li><li>Data Analyst - £50,000</li><li>Business Data Analyst - £67,500</li><li>Data Analytics Analyst - £80,000</li><li>Business Analysts - £60,000</li></ul>Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.Step 1 - CompTIA Data+ QualificationThe first step is completing the CompTIA Data+ Qualification accredited by CompTIA.This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.The course is provided online and comes complete with exam simulators and revision tools.You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.This qualification will set you on a route to becoming a data analyst.Step 2 - Data Administration TrainingData is extracted using various method which are normally IT driven.Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.<ul><li>Microsoft excel - to expert level.</li><li>Learn SQL - the programming language used for extracting data from more complex databases.</li><li>Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.</li><li>Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.</li></ul>Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.Step 3 - Business Analysis FoundationBusiness Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.Step 4 - Recruitment SupportNow you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.Our money back guaranteeIf after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.Check our testimonials from the hundreds of candidates we have already helped.What Now?To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Data Analyst Trainee

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: <ul> <li>Junior Data Analyst - £30,000</li><li>Data Analyst - £50,000</li><li>Business Analysts - £60,000</li><li>Data Scientist - £65,000</li></ul> Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. <ul> <li>Microsoft excel - to expert level.</li><li>Learn SQL - the programming language used for extracting data from more complex databases.</li><li>Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.</li><li>Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.</li></ul> Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Trainee Data Analyst

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts.If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science.We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science.Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles.Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners.Current average salaries in the sector for lower-level positions and fully trained Data Experts:<ul><li>Junior Data Analyst - £30,000</li><li>Data Analyst - £50,000</li><li>Business Analysts - £60,000</li><li>Data Scientist - £65,000</li></ul>Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science.Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector.Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks.Step 1 - Data Administration TrainingData is extracted using various method which are normally IT driven.We provide you with access to the following courses to ensure you are employable as a data analyst.<ul><li>Microsoft excel - to expert level.</li><li>Learn SQL - the programming language used for extracting data from more complex databases.</li><li>Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.</li><li>Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.</li></ul>Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam.Step 2 - CompTIA Data+ QualificationThe first step is completing the CompTIA Data+ Qualification accredited by CompTIA.This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam.The course is online and comes complete with exam simulators and revision tools.You will have access to a tutor and a 1-hour online revision workshop prior to your exam.This qualification sets you on course to becoming a data analyst.Step 3 - Business Analysis FoundationBusiness Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.Study time is around 15 hours, and qualification is achieved by online exam.Step 4 - Recruitment SupportNow you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.Step 5 - CompTIA Data X QualificationOnce you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.Our money back guaranteeIf after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.Check out our testimonials.What Now?To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Data Science Trainee

<ul><li>26 weeks paid parental leave after one year and 36 weeks after five years continuous service, regardless of gender.</li><li>4 weeks annual leave with the option to purchase more.</li><li>13 weeks long service leave after seven/ten years.</li><li>Salary packaging options.</li><li>17% superannuation, with the option to reduce to the minimum super guarantee.</li><li>25% off UWA full fee courses, discounted health insurance, and convenient on-campus childcare options.</li><li>Incremental progression based on 12 months continuous service.</li></ul>Job no: 521623 Work type: Part Time, Full Time Location: Crawley Categories: Administration &amp; Executive support<ul><li>Join globally renowned research that transforms health and wellbeing through ground-breaking discoveries and international collaboration.</li><li>Full-time (1.0 FTE) appointment on a fixed term basis for 12 months.</li><li>Base salary range: $83,212 - $92,231 p.a. plus 17% superannuation.</li><li>Option as a part-time (0.8 FTE) appointment on a fixed term basis for 12 months.</li><li>Base salary range: $83,212 - $92,231 p.a. (pro-rata) plus 17% superannuation.</li></ul> About the area The Raine Study cohort is one of the largest successful prospective cohorts of pregnancy, childhood, adolescence and now adulthood to be carried out anywhere in the world. Prospective longitudinal data has been collected at multiple time-points over pregnancy, infancy, childhood, adolescence and young adulthood. The cohort comprises of three generations, the index participants born between 1989 and 1992 are known as Generation 2, their parents are Generation 1 and their children are Generation 3. The Raine Study is a rich resource for researchers and there are currently more than 150 researchers from 15 broad areas of research utilising the Raine Study data with over 600 peer reviewed journal papers published on the Raine Study. About the opportunity <ul><li>Working collaboratively with the Data team, you will be responsible for cleaning, curating, and harmonising the longitudinal cohort data, ensuring its integrity for research use.</li><li>You will also be responsible for preparing datasets for a relational database, conducting data extractions for researchers.</li><li>Respond to researcher queries regarding data availability and analysis.</li></ul> About you <ul><li>Relevant tertiary qualification or demonstrated equivalent competency.</li><li>Experience working with large datasets, programming languages, and statistical software such as Python, SPSS, R, Stata or SAS.</li><li>Experience in a research environment, preferably in a health-related area.</li><li>Experience in data cleaning, quality control, merging, and extracting large data sets.</li><li>Knowledge of health research methodology, data confidentiality and privacy, ethics, and best practices.</li></ul> Special Requirements <ul><li>A current National Police Clearance Certificate.</li></ul>Please apply online via the Apply Now button. The content of your Resume and Cover Letter should demonstrate how you meet the selection criteria.Please note: Unsolicited applications from recruitment agencies will not be accepted outside of formal channels.Closing date: 11:55 PM AWST on Monday 3rd of November 2025.This position is only open to applicants with relevant rights to work in Australia. About the University The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, there is no better time to join Western Australia's top university. Our commitment to inclusion and diversity UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability.If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process.If you have queries relating to your application, please contact the Talent team at with details of your query. To enable a quick response, please include the 6-digit job reference number.Advertised: 21 Oct 2025 W. Australia Standard Time Applications close: 03 Nov 2025 W. Australia Standard TimeJoin globally renowned research that transforms health and wellbeing through ground-breaking discoveries and international collaboration.

Data Officer - Population Studies

<ul> <li>Salary: £55,000 - £60,000 per annum (DOE)</li><li>Hybrid: 3 days per week in the office (Non-negotiable)</li><li>Location: Crawley</li></ul> About the Role and ClientJoin a global leader in technology manufacturing as a Data Reporting Analyst. You will be working alongside the IT Applications team and liaise with all other departments within the business e.g. Finance, Operations, Sales, supporting them with regular reporting needs. Key Responsibilities<ul> <li>Collaborate with internal stakeholders, within a defined framework, to identify and deliver reports based on those needs</li><li>Manage and process substantial volumes of data large quantities of data from multiple sources and present these in the stakeholders' preferred format</li><li>Liaise with business data owners and stewards within the business to ensure continuous improvement of data quality through the creation and management of dashboards</li><li>Support team members in developing and testing analytics applications and reports for presentation on the company intranet</li><li>Perform data extraction, transformation, loading, and manipulation as required</li><li>Collaborate closely with the Applications team to support delivery of information via various means</li><li>Provide 1st line support to the business as part of the applications team</li></ul> Essential Requirements<ul> <li>Proficiency in relational database languages (SQL)</li><li>Experience with Microsoft Power BI or similar reporting tool</li><li>Strong numerical and analytical capabilities</li><li>Expert-level proficiency in Excel</li><li>Meticulous attention to detail</li><li>Complex problem-solving abilities with an innovative mindset</li><li>Effective verbal and written communication skills, with the ability to confidently present reports to senior stakeholder</li><li>Resourcefulness, able to work independently or within a team to source information and questions to gain the required data</li></ul> To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Data Reporting Analyst

) for more information. Job Summary The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions to our clients. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients' own data stores, processes and workflows. Team Description Data Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding.You will be based in one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. Key Responsibilities Contribute to the development of our data platform infrastructure. This includes our orchestration systems, data processing logic and the interactions between system components. Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering. Build robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc. Influence our choice of architecture and technology. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders. Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising performance where it matters. Partner with data analysts, data scientists, and other end-users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs. Share your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth. Qualifications and Experience Previous experience of designing, building and maintaining data transformations in a system or product setting.Ability to write secure and performant code in Python and SQL, and ability to Significant experience using orchestrators and ETL tools, especially AirflowSignificant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also beneficialData architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).Experience using docker, VCS (git, Gitlab) and knowledge of CI/CDKnowledge of DevOps and DataOps best practices.Kubernetes deployment experience. Previous experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc. Benefits Package Discounts on nationwide restaurants, cinema tickets and days out through our benefits platformTech, Travel and Fashion discounts all available through our benefits platform Create a brighter future for

Data Engineer

Overview Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. We discover new insights, innovations, and solutions that address complex natural resource, digital, energy transition and infrastructure challenges. Job Summary The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML-based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients' own data stores, processes and workflows. Team Description Data Hub is a dynamic team of scientists and developers who solve complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will be based in one of our hub locations (Crawley or Llandudno) and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. We offer hybrid working and remote working can be considered. Key Responsibilities <ul> <li>Contribute to the development of our data platform infrastructure, including orchestration systems, data processing logic, and interactions between system components.</li> <li>Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering.</li> <li>Build robust data pipelines with a focus on dynamic, end-to-end, metadata-driven solutions that consider downstream application/UI data access patterns, maintainability, monitoring, access control, and related aspects.</li> <li>Influence architecture and technology choices. Communicate design ideas and solutions clearly through architectural diagrams and documentation to technical and non-technical stakeholders.</li> <li>Maintain awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). Minimise technical debt and optimise performance where it matters.</li> <li>Partner with data analysts, data scientists, and other end-users to understand requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs.</li> <li>Share work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.</li> </ul> Qualifications and Experience Required: <ul> <li>Experience designing, building and maintaining data transformations in a system or product setting.</li> <li>Ability to write secure and performant code in Python and SQL, and optimise queries and data pipelines.</li> <li>Significant experience using orchestrators and ETL tools, especially Airflow.</li> <li>Significant RDBMS experience (PostgreSQL, Oracle). Experience with NoSQL databases (e.g., Neo4j, Elastic) or vector databases is beneficial.</li> <li>Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).</li> <li>Experience using Docker, VCS (Git, GitLab) and knowledge of CI/CD.</li> <li>Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.</li> </ul> Preferred: <ul> <li>Knowledge of DevOps and DataOps best practices.</li> <li>Kubernetes deployment experience.</li> <li>Microsoft Azure and cloud-native data technologies (e.g., Azure Data Factory, Databricks).</li> <li>RESTful API / GraphQL experience.</li> <li>Infrastructure as Code.</li> <li>Previous experience building web applications with knowledge of web frameworks, HTTP, networking, security, etc.</li> </ul> Benefits Package <ul> <li>Highly attractive bonus scheme.</li> <li>Initial 22 days annual leave with future increases, flexible holiday buying/selling program.</li> <li>Company contributory pension plan.</li> <li>Flexible Private Medical &amp; Dental care tailored to individual or family needs.</li> <li>Employee Assistance Program to support staff.</li> </ul> We Care about our Staff and Environment We recognise the importance of work-life balance with flexible working and relaxed dress code policies. We support staff wellbeing through various initiatives, including social club events, rewards, and comprehensive benefits such as gym discounts, cycle schemes, and entertainment tickets. We are committed to protecting the environment through sustainable solutions, energy saving and waste reduction enterprises. Our Hiring Process We are committed to a respectful, inclusive, and transparent recruitment experience. Due to high application volumes, we may not provide individual feedback to every applicant. Candidates whose qualifications closely match the role criteria will be contacted for an interview. We aim to share personalized feedback with those who progress to the first round and beyond. If you require reasonable adjustments to participate in the application or interview stages, contact the recruiter directly. We value diversity and are committed to equal employment opportunities for all professionals.

13 AI Jobs in West Sussex