field_job_employment_type

field_job_occupational_field_parents_all

job_organization_name

Azure Data ArchitectBrighton, East Sussex, £80 - £90kAzure Data Architect is required by our client who are a fast-growing and technically advanced multi-award-winning company going through an extended period of growth.Key responsibilities:<ul><li>Design, develop, and maintain data architectures using Azure Databricks and Synapse.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into robust architectural solutions.</li><li>Optimize data workflows and ensure seamless integration with various data sources.</li><li>Implement data governance and security best practices.</li><li>Provide technical leadership and guidance to the development team.</li><li>Conduct performance tuning and optimization of data processes.</li></ul>Skills required:<ul><li>Proven experience as a Data Architect working within Azure.</li><li>Expertise in Azure Databricks and Azure Synapse.</li><li>Strong understanding of Datamodelling, ETL processes, and data warehousing concepts.</li><li>Proficiency in SQL, Python, and other relevant programming languages.</li><li>Experience with data governance, data quality, and data security best practices.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and stakeholder management skills.</li></ul>Worthing based hybrid opportunity, easily commutable from Portsmouth Hampshire, Guildford Surrey or Brighton, East Sussex.Azure, Synapse, DatabricksBrighton, Hybrid (3 days in the office)

ARC IT Recruitment

Azure Data Architect

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 perhaps someone from a BI or SQL Developer background who is looking to step into Data Engineering - 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 would be a bonus)</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</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 from £40-50,000 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

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

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

<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

Overview The Data Engineering Manager is a key role in the Data Platform Portfolio team, building the data platform and driving value from data across the business. With strong technical skills and business acumen to turn data points into actionable insights that can drive product improvements, improve customer acquisition and retention, and drive operating efficiencies.The primary goals of the team are to:<ul><li>To build and run a data platform which can create and deliver analytics to colleagues and deliver reporting and business insights</li><li>Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets</li><li>To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data</li></ul> Main Responsibilities <ul><li>Lead a team of Data Engineers and Analysts to build and operate the Data and Analytics platform for Rentokil Initial.</li><li>This role will be pivotal to:</li><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 Enable the Data Community across Rentokil Initial to get value from data and to empower local Data discovery &amp; insights, using a self-serve framework</li><li>Catalogue &amp; Communicate the Data platform data sets available for use to digital product teams</li><li>Develop report automation use cases demonstrating how migrating from traditional method improves quality of data and improves efficiency</li><li>Explore key innovation initiatives with the business to help reimagine how we use data and find the value in our data</li><li>Collaborate across the organisation to build solutions that serve multiple areas of the business</li><li>Accountable for performance of 3rd party suppliers providing data analysis delivery services</li></ul> Requirements <ul><li>Previous experience leading a team of Software Engineers, taking responsibility for their personal development and coaching them on the behaviors needed for success.</li><li>Prior experience of scaling/growing technology teams</li><li>Technical leadership experience, architecting, designing and leading a team through complex software delivery projects to deliver great business outcomes</li><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>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><li>Strong prioritisation and communication skills</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 anythingBe 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.

13 AI Jobs in 33-34 East St, Brighton and Hove, Brighton BN1 1HL, UK