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<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.

Hours: 40 hours per week, Monday - Friday, 8.30am - 5.30pmWe're an award-winning, market-leading3PL specialising in high-qualityorder fulfilment and delivery services. ILG customers are premium brands, many in the beauty, fashion and wellbeing sectors. Our mission is to help them succeed. ILG is a people business - we invest in training and development, recognising and rewarding our people's achievements and creating opportunities for them to progress within our business. So, if you want to develop an exciting career, learn from a friendly team and realise your full potential in a fast-growing company, this is the role for you. The role The Senior Data Analyst role is a senior position in the Finance Support Team, reporting to the Data Analyst Supervisor. You will support the finance function ensuring shipment data is accurately recorded and our customers are invoiced correctly. Working autonomously to tight deadlines this role requires a numerate, logical thinker who enjoys investigating and resolving variances. Responsible for ensuring data is processed and corrected on a weekly basis whilst identifying trends, highlighting process improvements and working as part of a larger finance function, providing support and leadership to the rest of the finance support team and in other areas as required. Key responsibilities of the role include:<ul><li>Importing and manipulating large volumes of carrier data, and investigating variances arising between invoiced charges and accruals within our internal systems</li><li>Validation of carrier charges against agreed tariffs and taking corrective actions where appropriate to ensure cost accruals and pricing to the customer is correctly stated</li><li>Providing support to the Data Analyst Supervisor with managing the finance support team to ensure the above is achieved as a collective target, managing workload of the team and rolling out new processes as required</li><li>Provide support and training to the Finance Support team</li><li>Review and report on team targets and deadlines</li><li>Participating actively in continuous process improvement projects, seeking ways to develop current working processes</li></ul>Please note that this role will initially be based in Burgess Hill but will move to East Grinstead in 2026. What we are looking for <ul><li>Strong working knowledge of Excel, including functions such as lookups, pivot tables and if statements</li><li>Strong experience of manipulating data, reporting and problem solving in Excel</li><li>Demonstrable experience of high levels of accuracy and attention to detail</li><li>An effective problem solver who enjoys seeing tasks through to completion</li><li>Enjoys working in process driven environment and becoming an expert in their field</li><li>Ability to prioritise, manage own workload and proven experience of working to tight deadlines</li><li>Able to work successfully as a team leader and as part of a team</li><li>Knowledge of the logistics industry, reconciliation and previous experience dealing with couriers and industry suppliers is desirable but not essential</li></ul>Job Application Requirements - We welcome your application and look forward to considering you for this role. Please note the following important requirements for all applicants:• Right to Work in the UK &amp; Basic DBS Check - You must have the legal right to work in the UK, (we are not able to sponsor you). If successful, you will also need to pass a Basic Disclosure and Barring Service (DBS) check before starting employment. We use a third-party checking service for each of these, so you will need to provide them with relevant information if offered a role with us. • References - We reserve the right to request two or more references, to cover the past five years of your employment history. Please ensure you can provide accurate contact details for each of your referees. • English Language - You must be able to work in English; enough to fully understand spoken and written work instructions, follow health and safety guidance and participate in discussions with your manager or colleagues.If you meet the role requirements, as well as the above, and are ready to take the next step in your career, we encourage you to apply.Please be aware we will be considering applications as we receive them and arranging interviews accordingly. Depending on the volume of applications we receive we may close this advert ahead of the advertised closing date.<ul><li>Following successful probation period, opportunity for hybrid working in line with ILG policy up to 50/50 remote/office working</li><li>Pension, Life Assurance, Healthshield Cash Plan and Discount Perks</li><li>22 days holiday (plus Bank Holidays) increasing to 25 days after 2 complete holiday years, with the option to buy/sell holiday</li><li>Birthday leave</li><li>Free on-site parking, with electric car charging at certain locations</li><li>Range of employee awards</li><li>Employee assistance programme to promote mental health wellbeing</li></ul>

Senior Data Analyst

Data Engineer Rentokil Initial<ul><li>Crawley, West Sussex</li><li>£50,000-70,000 per year</li><li>Permanent</li><li>Full-time</li></ul>Build and operate the Data and Analytics platform for Rentokil Initial. This role will be pivotal to:<ul><li>Defining data principles, data architecture and data governance for the data platform</li><li>Delivering data quality assessments and improvement plans</li><li>Directly and indirectly, delivering key reports and analytical insight to a wide variety of stakeholders</li><li>Supporting the data agenda with platform reporting and strategy.</li></ul> Responsibilities <ul><li>Develop and maintain data integration processes to ensure data quality and accuracy in the data platform</li><li>Deliver quality data engineering solutions of low-moderate complexity without clear requirements</li><li>Transform data in various ways to support data analysts and business leaders</li><li>Build and design a scalable and extensible data architecture</li><li>Develop and maintain data processing platforms including frameworks</li><li>Build infrastructure, data pipelines and the production of analytical models</li><li>Actively researching the latest innovation in the industry and encouraging a continuous learning environment in the team and in the business.</li><li>Design and implement data warehousing solutions to support reporting and analytics</li><li>Identify and troubleshoot data issues and provide solutions</li><li>Work closely with business teams to understand data needs and requirements</li><li>Collaborate with other data engineers to ensure data consistency and integrity across systems</li><li>Continuously monitor and optimise data performance and scalability</li><li>Stay up-to-date with new technologies and best practices in data engineering</li><li>Ensure the data platform security standards are met, in conjunction with the Information Security team</li></ul> Requirements <ul><li>Good understanding and track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.</li><li>Excellent communication skills, capable of talking to people across IT and business, as well as to stakeholders at various levels of the company</li><li>Hands-on approach, proactive and self-starting</li><li>Desire to deliver the best quality and meet the client's needs</li><li>Advanced experience in designing and creating data models</li><li>Strong with SQL for data interrogation and transformation, a robust understanding of relational data and the ability to manipulate fact data along multiple dimensions.</li><li>Experience with deploying solutions in Cloud (Azure, AWS, GCP), ideally GCP</li><li>Overall business intelligence knowledge</li><li>Experience using ETL tools to deliver data integration for batch and streaming use cases</li><li>Willingness to self-study and learn new skills to handle any upcoming tasks</li><li>Hands-on experience of modern software CI/CD techniques to automate the build and deployment of data solutions</li><li>Use of source code version control (e.g. Git, Bitbucket)</li><li>Desirable to have experience in the exploitation of real-time processing frameworks (e.g., Apache Spark or Apache Beam) and associated business use cases</li><li>Desirable to have experience working with BigQuery, Java and/or Python</li><li>Experience working with and adhering to Information Security standards, support procedures and incident response</li></ul> Benefits <ul><li>Competitive salary and bonus scheme</li><li>Hybrid working</li><li>Rentokil Initial Reward Scheme</li><li>23 days holiday, plus 8 bank holidays</li><li>Employee Assistance Programme</li><li>Death in service benefit</li><li>Healthcare</li><li>Free parking</li></ul>At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute. We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to if you need anything.

Build and operate the Data and Analytics platform for Rentokil Initial.This role will be pivotal to: Defining data principles, data architecture and data governance for the data platform Delivering data quality assessments and improvement plans Directly and indirectly, delivering key reports and analytical insight to a wide variety of stakeholders Supporting the data agenda with platform reporting and strategy.Tasks and responsibilities: Develop and maintain data integration processes to ensure data quality and accuracy in the data platform Deliver quality data engineering solutions of low-moderate complexity without clear requirements Transform data in various ways to support data analysts and business leaders Build and design a scalable and extensible data architecture Develop and maintain data processing platforms including frameworks Build infrastructure, data pipelines and the production of analytical models Actively researching the latest innovation in the industry and encouraging a continuous learning environment in the team and in the business. Design and implement data warehousing solutions to support reporting and analytics Identify and troubleshoot data issues and provide solutions Work closely with business teams to understand data needs and requirements Collaborate with other data engineers to ensure data consistency and integrity across systems Continuously monitor and optimise data performance and scalability Stay up-to-date with new technologies and best practices in data engineering Ensure the data platform security standards are met, in conjunction with the Information Security teamRequirements: Good understanding and track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc. Excellent communication skills, capable of talking to people across IT and business, as well as to stakeholders at various levels of the company, Hands-on approach, proactive and self starting Desire to deliver the best quality and meet the client's needs Advanced experience in designing and creating data models Strong with SQL for data interrogation and transformation, a robust understanding of relational data and the ability to manipulate fact data along multiple dimensions. Experience with deploying solutions in Cloud (Azure, AWS, GCP), ideally GCP Overall business intelligence knowledge Experience using ETL tools to deliver data integration for batch and streaming use cases Willingness to self-study and learn new skills to handle any upcoming tasks, Hands-on experience of modern software CI/CD techniques to automate the build and deployment of data solutions Use of source code version control (e.g. Git, Bitbucket) Desirable to have experience in the exploitation of real-time processing frameworks (e.g., Apache Spark or Apache Beam) and associated business use cases Desirable to have experience working with BigQuery, Java and/or Python Experience working with and adhering to Information Security standards, support procedures and incident responseBenefits:<ul><li>Competitive salary and bonus scheme</li><li>Hybrid working</li><li>Rentokil Initial Reward Scheme</li><li>23 days holiday, plus 8 bank holidays</li><li>Employee Assistance Programme</li><li>Death in service benefit</li><li>Healthcare</li><li>Free parking</li></ul>At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to () if you need anything Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out.

Role: Snowflake Data Architect Location: Hove, UK Type: Permanent Role Work Mode: Hybrid Role &amp; Responsibilities <ol> <li>Define and implement the end-to-end architecture of Data warehouse on Snowflake.</li> <li>Create and maintain conceptual, logical, and physical data models in Snowflake.</li> <li>Design data pipelines and ingestion frameworks using Snowflake native tools.</li> <li>Collaborate with Data Governance teams to establish data lineage, data quality, and access control mechanisms.</li> <li>Engage with data stewards and stakeholders to build a comprehensive and scalable data warehouse.</li> <li>Implement RBAC, data masking, and encryption practices to ensure compliance with data security policies.</li> </ol> Qualifications &amp; Skills <ol> <li>10+ years of experience in designing enterprise data platforms, with at least 5+ years in Snowflake.</li> <li>Strong expertise in SQL and data warehousing.</li> <li>Hands-on experience working in the insurance industry; prior experience with L&amp;G is an advantage.</li> <li>3+ years of experience with DBT for data transformation.</li> <li>Deep understanding of agile methodologies in data environments.</li> <li>Familiarity with Power BI.</li> </ol>

18 AI Jobs in Crawley, UK