Part time data jobs in BarnsleyCreate job alerts

"At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."Klipboard provides specialist software, services and support to deliver fully integrated trading and business management solutions to companies in the distributive trade – wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the UK, Ireland, The Netherlands, South Africa, Kenya and North America. Our mission is simple: to design and deliver high performance, integrated ERP solutions that enable our distributive trade customers to source effectively, stock efficiently, sell profitably and service competitively.Klipboard is a global, growing business that embraces AI and emerging technologies to enhance customer outcomes, collaboration, and continuous improvement. We’re looking for people who are curious about or fluid with AI, open to change, and excited to learn how technology can improve the way we work and help our customers which is always supported by strong human insight and communication.This is a high-impact senior engineering role for someone who wants to shape how a large engineering organisation uses AI in real products and real development work. You will set patterns, create evaluation standards, coach engineers and help Klipboard turn AI from individual experimentation into repeatable, scalable engineering practice.The role is two jobs in one: the craft of getting reliable, measurable results from large language models through prompt engineering, context design and evaluation; and making everyone around you better at it. With hundreds of engineers across the UK and South Africa, the difference between an organisation where a few people prompt well and one where everyone does is enormous. Your success is measured less by what you personally produce and more by how quickly the engineers around you improve.Key Responsibilities: Role AccountabilitiesPractise the craft at a high level – designing, building and refining prompts, context strategies and agentic workflows for AI features in our products.Grow the engineers around you – coaching, pairing, workshops and building shared assets that spread good practice across hundreds of engineers.Set standards and keep the organisation honest – defining what good looks like for prompting, evaluation and context engineering, and maintaining those standards as tools change.Key Activities and ContributionsDesign, build and refine prompts, context strategies and agentic workflows for AI features in Klipboard products, where a confidently wrong price, part match or stock answer is worse than no answer.Build evaluation into everything – test prompts against real business cases at scale, measure quality honestly, and treat “it looked fine when I tried it“ as the start of the work, not the end.Work across models and providers, choosing pragmatically on quality, cost and latency rather than loyalty, and keeping up as models, tools and providers change quickly.Get deep into the domain detail with product teams and subject matter experts, because a prompt is only as good as the understanding of the business problem behind it.Coach engineers across teams to get dramatically more from AI coding tools and LLMs, through pairing, reviews, workshops and patient one-to-one help.Build and maintain shared prompt patterns, reusable templates, evaluation harnesses and internal guides, so good practice spreads as assets rather than folklore.Run an internal community of practice where engineers share what is working, what failed and why, and make it somewhere people actually want to show up.Help define what good looks like for prompting, context engineering and evaluation across R&D, and keep those standards current as tools and models change.Share measurable results with engineering leadership, including where AI tooling is genuinely paying off and where it is not.Systems, Tools and TechnologyLarge language model APIs across multiple providers (GPT, Claude, Llama and equivalents)AI coding tools: GitHub Copilot, Cursor or equivalentsPrompt engineering, context design and agentic workflow frameworksEvaluation harnesses, evaluation datasets and automated test suites for AI outputsRetrieval-augmented generation (RAG), vector search, embeddings and retrieval pipelines (desirable)LLM orchestration frameworks (LangChain, Semantic Kernel or equivalents – desirable)Technical and Professional ExpertiseStrong software engineering background with several years building and shipping production software.Substantial hands-on experience with large language models: prompt design, context engineering and structured outputs, in real work rather than personal experiments alone.Experience building evaluations or test harnesses for LLM outputs, and using them to improve quality measurably.Clear evidence of growing other engineers – through mentoring, teaching, internal training, communities of practice or similar.Daily working fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents, with a practical view of where they help and where they mislead.Core Responsibilities and ContributionsDeliver AI features in Klipboard products with proper evaluation and measurable quality standards.Embed prompt engineering and evaluation best practice across the R&D organisation.Be the sceptical voice when something demos well but will not hold up in production; be the encouraging one when a genuinely good idea needs backing.Maintain high standards for safety, accuracy and data handling in everything that ships – customers run their businesses on the answers our software gives them.Build and sustain a living library of prompt patterns, templates and guides.Meet engineers where they are, including those working in long-established codebases, where getting real value from AI tools is some of the highest-leverage work in the company.Customer ExperienceEnsure AI features in Klipboard products give accurate, safe and trustworthy answers – customers run their businesses on our output.Work with product teams and subject matter experts to understand the business problem behind each feature properly before building.Prevent confidently wrong answers – incorrect prices, part matches or stock levels – from reaching customers.Key Outcomes and ActivitiesEngineers across several teams can point to specific things they now do better because of coaching and knowledge-sharing.At least one AI feature or workflow shipped per quarter with proper evaluation behind it.A living, used library of prompt patterns, templates and guides in place and growing.Community of practice running, well attended, and producing outputs teams actually reuse.Engineering leadership has a clearer, evidence-based picture of where AI is paying off.People, Collaboration & CultureGenerous with knowledge and genuinely energised by other people getting better. If the instinct is to guard expertise rather than spread it, this is the wrong role.Rigorous and honest about results – measures, shows working, and says so when data disagrees with the enthusiasm.Patient with engineers at every level of AI maturity, from those who live in these tools to those who are quietly sceptical of the whole thing.Curious about the trades Klipboard customers work in, because the best prompts are full of domain understanding.Calm about the pace of change – treats model and tooling shifts as the interesting part of the job, not a threat.Works closely with engineering leadership, architecture, product and cross-site engineering teams across the UK and South Africa.Additional Responsibilities (as aligned to company job architecture)Some travel between Klipboard's UK and South Africa offices as part of the coaching and community-building remit.Keep standards current as models, tools and providers change rapidly.Represent Klipboard's engineering practice externally where appropriate – talks, writing or open-source contributions.Key Relationships (Internal and external) InternalEngineering leadership and architecture teamsR&D engineering teams across Newcastle, Tankersley, Hungerford, Johannesburg and Cape Town / StellenboschProduct managers and product ownersSubject matter experts in Klipboard's product verticals (distributive trades, rental, automotive)ExternalAI and LLM platform and tooling providers (as needed)Required Qualifications and ExperienceStrong software engineering background with several years building and shipping production software – this role needs an engineer first.Substantial hands-on experience with large language models: prompt design, context engineering and structured outputs, in real work rather than personal experiments alone.Experience building evaluations or test harnesses for LLM outputs, and using them to improve quality measurably.Clear evidence of growing other engineers – through mentoring, teaching, internal training, communities of practice or similar.Daily working fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents, with a practical view of where they help and where they mislead.Preferred Qualifications and ExperienceRetrieval-augmented generation, agentic workflows, tool use or fine-tuning in production settings.Experience with LLM APIs, orchestration frameworks, vector search, embeddings, retrieval pipelines, evaluation datasets or automated test suites for AI outputs.Experience across more than one model provider, with a feel for their different strengths.Domain exposure to any of Klipboard's sectors: distributive trades, rental, retail, automotive aftermarket parts or garage management.Experience helping teams adopt AI tooling in established or legacy codebases, not just greenfield projects.Public sharing of your work: internal talks given externally, writing or open-source contributions.Klipboard is embracing AI at pace across our products and ways of working. We’re looking for people who are curious about how AI can enhance productivity, decision-making and customer outcomes, and who are open to learning and adapting as this space evolves.What Success in This Role Looks LikeEngineers across several teams can point to specific things they now do better because of coaching and knowledge-sharing.At least one AI feature or workflow shipped with proper evaluation behind it, and the team involved could now repeat the process without you.A living, used library of prompt patterns, templates and guides that did not exist before.The community of practice is running, well attended, and producing things teams actually reuse.Engineering leadership has a clearer, evidence-based picture of where AI is paying off across the organisation.Company InfoYou may also have seen from our recent posts that we are excited to begin sharing our new company name – Klipboard. Kerridge Commercial Systems (KCS) is becoming Klipboard and our new brand is designed to bring together our expertise across distribution, automotive, retail, rental, transport management, manufacturing, and field service management. We have offices based across the world and we are looking for talented individuals to join our growing teams. Due to our growth over the last few years it is an exciting time to join us as we enter our next chapter! At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."Equal OpportunitiesAs a global company, we value and respect the diversity of our workforce, aiming to empower everyone to embrace each other's differences. We are committed to creating an inclusive workplace where diversity, equity, and inclusion are integral to our company and culture. We recognize the benefits of a diverse workforce, where creativity and valuing differences enable us all to thrive and sparks innovation.If you require any help, adjustments and/or support during the interview and offer process then please advise our TA or HR team.Research shows that women and other underrepresented groups are less likely to apply for a role unless they meet every listed requirement. However, we recognise that skills and experience come in many forms, and we encourage you to apply even if you don’t meet every criterion. If you are passionate about this role and believe you have the right mindset and transferrable skills, we would love to hear from you!To all recruitment agencies: Klipboard does not accept agency speculative resumes. At present we only accept CV’s from Agencies on our PSL who have been assigned specific position/s. Please do not forward resumes to our careers site or direct to Klipboard employee as this does not constitute an introduction and Klipboard retrospectively will not be liable for any candidate ownership or fees related to unsolicited resumes. #LI-Hybrid

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. Whether you are working full time, part-time or unemployed, thi

Monday to Friday, 40 hours per week Shift pattern: 9am - 6pm and 11am - 8pm (swap each week) Salary: Up to £29,000 per annum + bonus Have you considered a career in driving recruitment? Do you possess drive, ambition, discipline, and the ability to thrive in a fast-paced environment? If you're passionate about people and delivering exceptional service, this is your opportunity to join the UK's largest recruitment business and build a rewarding career with Staffline. The Opportunity We're looking for a Recruitment Account Coordinator to support our growing Driving Division, supplying professional drivers to a range of leading transport and logistics clients. This is a fast-moving role where no two days are the same. You'll be responsible for ensuring our clients have access to reliable, compliant, and skilled drivers while delivering a first-class experience to both candidates and customers. Previous recruitment experience is beneficial but not essential. If you have transferable skills from customer service, transport, logistics, operations, or administration, we'll provide the training and support needed to help you succeed. Please be advised candidates must apply with a CV to be considered. Your Time at Work What You'll Do as an Account Coordinator This role is all about building relationships, solving problems, and ensuring our driving workforce is fully supported. Your responsibilities will include: - Planning and coordinating driver shift coverage to ensure client staffing requirements are met, including managing short-notice changes and absences - Meeting client requirements by sourcing and placing qualified HGV, LGV, and professional drivers - Recruiting, screening, interviewing, and onboarding driving candidates - Verifying licences, CPC qualifications, digital tachograph cards, and conducting compliance checks - Managing driver availability, shift bookings, and rota planning - Accurately processing payroll data and validating driver hours - Handling driver queries, absences, holiday requests, and shift changes - Ensuring compliance with transport legislation, client requirements, and recruitment best practice - Building and maintaining strong relationships with both clients and drivers - Proactively addressing staffing challenges and sourcing solutions to meet operational demands - Supporting out-of-hours requirements when necessary to ensure service continuity The Skills You'll Develop as a Recruitment Account Coordinator At Staffline, you'll receive ongoing coaching, development, and support to help you reach your full potential. In this role, you'll develop expertise in: - Driving and transport recruitment - Client relationship management - Workforce planning and resource allocation - Driver compliance and industry regulations - Candidate attraction and retention strategies - Performance management and service delivery - Problem-solving and operational decision-making We actively encourage career progression and offer clear development pathways for those looking to advance their careers within recruitment and account management. Our Perfect Worker What We Need From You - We're committed to helping you succeed, but to thrive in this role you'll need: - The ability to adapt quickly to changing priorities and solve problems effectively - A customer-focused approach with a genuine passion for people - Experience within recruitment, transport, logistics, driving operations, or a customer service environment (preferred but not essential) - Strong organisation skills and the ability to manage multiple priorities - Excellent communication and relationship-building skills - A keen eye for detail, particularly when handling compliance documentation - A proactive mindset and willingness to take ownership of challenges - Confidence working in a fast-paced environment where responsiveness is key - Most importantly: tenacity, resilience, flexibility, and a positive attitude towards delivering exceptional service Key Information and Benefits Benefits include: • 25 days holiday, with the option to buy more - Extra holiday days for celebrations and community support - Holiday accrual and long-service rewards - Annual bonus schemes - Enhanced statutory payments - Flexible working opportunities - Medicash and Employee Assistance Programme - Discount and reward platform - Transport schemes (Car leasing & Cycle to Work) Job Ref - D1EBH About Staffline Staffline is the UK's largest recruitment solutions partner, enabling over 35,000 people into good work every week. We operate at more than 420 customer sites across England, Scotland and Wales. As one of the most established recruitment agencies in Nottingham with operations across the UK, we specialise in connecting businesses with temporary and permanent jobs across warehouse & logistics, food and drink, aviation, driving, technical & engineering, manufacturing & automotive and security. Important Information • Staffline and its subsidiaries do not charge any recruitment or job‑seeking fees at any stage of the hiring process. - This job advert may not be copied, imitated, or used, in whole or in part, by third-party websites, without prior written consent from Staffline. - Our job adverts are correct at the time of publication, but some details and job responsibilities are subject to change

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

A vacancy has arisen within the Maintenance department for an experienced Maintenance Manager – Analytics, based primarily at our Barnsley site, with regular travel to other factories across Yorkshire to support operational requirements. This is a key role focused on improving asset reliability, equipment performance and maintenance strategy across the business. Working closely with the Maintenance, Production and Quality teams, you will identify and reduce risks associated with critical assets, minimise equipment failures and maximise production uptime. You will play a leading role in developing and improving asset care strategies, using Reliability-Centred Maintenance (RCM), Failure Mode and Effects Analysis (FMEA), Condition-Based Monitoring, Root Cause Analysis (RCA) and Lean Continuous Improvement methodologies. We are looking for a forward-thinking, analytical and hands-on maintenance professional who can combine strong engineering knowledge with the ability to lead, influence and develop others. Key Responsibilities • Provide Maintenance Manager cover across the Rotherham and Barnsley sites during periods of annual leave., • Develop and deliver a long-term maintenance and asset reliability strategy., • Lead failure analysis, fault elimination and asset reliability improvement activities., • Identify risks associated with critical assets and implement effective mitigation strategies., • Develop and integrate condition-based monitoring processes to improve asset reliability and reduce unplanned downtime., • Review, improve and optimise Planned Preventative Maintenance (PPM) activities., • Develop and implement asset care plans using RCM and FMEA principles., • Support improvements to production processes, equipment performance and overall machine output., • Analyse CMMS data, downtime trends, maintenance performance and KPIs to identify opportunities for improvement., • Lead structured Root Cause Analysis (RCA) investigations and ensure effective corrective and preventative actions are implemented., • Create, implement and maintain robust planned maintenance standards and procedures., • Lead and support Continuous Improvement initiatives using Lean methodologies to reduce waste and improve operational efficiency., • Work collaboratively with Production, Quality and Maintenance teams to identify and deliver reliability improvements., • Lead, coach and mentor maintenance team members, promoting reliability-focused working practices and a culture of continuous improvement., • Ensure maintenance activities are prioritised effectively and delivered within agreed timescales., • Travel between Yorkshire sites as required to support operational and maintenance requirements. About You You will have proven experience within a reliability engineering, maintenance engineering or maintenance management environment, with a strong understanding of manufacturing assets, maintenance strategies and continuous improvement. Ideally, you will have experience working within a manufacturing environment, with experience in woodworking, FMCG, packaging or a similarly fast-paced production environment being advantageous. You will also have: • A proven track record in a maintenance or reliability engineering role., • Experience developing and implementing maintenance strategies and asset care plans., • Experience with PPM, condition-based monitoring, failure analysis and Root Cause Analysis., • Experience analysing CMMS data, downtime information and maintenance KPIs., • Experience implementing or supporting Continuous Improvement initiatives., • A strong understanding of Lean methodologies and waste reduction., • Experience using RCM and/or FMEA principles would be advantageous., • A Lean Six Sigma qualification/certificate would be desirable., • Excellent timekeeping and time management skills., • Strong organisational, written, numerical and analytical skills., • Good computer literacy and confidence working with maintenance and business systems., • A full UK driving licence and the ability to travel between sites when required. Essential Skills & Personal Qualities You must be: An experienced multi-skilled engineer with a strong engineering background. Educated to NVQ Level 3 or equivalent in an engineering discipline. Able to effectively lead, motivate, coach and manage a maintenance team. A confident communicator who can build effective relationships with colleagues at all levels. Comfortable working collaboratively with Maintenance, Production and Quality teams. Able to work effectively under pressure while maintaining deadlines and operational priorities. Self-motivated, proactive and able to work independently as well as part of a wider team. Analytical and solutions-focused, with the ability to identify problems and deliver practical improvements. Highly organised, with excellent attention to detail. Committed to driving reliability, continuous improvement and operational excellence. Remuneration: Salary: £53770 15% bonus Car allowance: £450 pcm Aegon Pension 25 days holiday plus bank holidays

Reliability Engineer Location: Barnsley Salary: 55000 Job Type: Permanent | Full Time Are you a Reliability Engineer looking for an opportunity to make a real impact? Our client is a successful and growing manufacturing business seeking an experienced engineer to help drive reliability, reduce downtime and improve the performance of critical production equipment. This is a fantastic opportunity to join a forward-thinking engineering team where you'll play a key role in shaping maintenance strategy and delivering continuous improvement across the site. The Role Working closely with the Maintenance, Production and Quality teams, you'll focus on improving equipment reliability, increasing plant performance and reducing unplanned downtime through proactive engineering initiatives. Key Responsibilities • Develop and deliver long-term maintenance and asset reliability strategies., • Lead Root Cause Analysis (RCA) investigations and implement permanent solutions., • Improve Planned Preventative Maintenance (PPM) programmes., • Develop condition-based monitoring and reliability-focused maintenance plans., • Analyse CMMS data, downtime trends and KPIs to identify improvement opportunities., • Champion Continuous Improvement initiatives using Lean principles., • Support, coach and influence the maintenance team to embed best practice., • Drive improvements that maximise machine uptime and operational efficiency. What We're Looking For • Experience in a Reliability Engineer or Maintenance Improvement role within manufacturing., • Strong understanding of Root Cause Analysis, FMEA and Reliability Centred Maintenance., • Experience delivering Continuous Improvement projects., • NVQ Level 3 (or equivalent) in an Engineering discipline., • Multi-skilled engineering background., • Lean Six Sigma qualification would be advantageous., • A proactive, hands-on approach with excellent communication and problem-solving skills. What's on Offer? • Long-term career opportunities., • A business that values innovation and continuous improvement., • The chance to make a genuine impact within a high-performing engineering team. If you're ready for your next challenge and want to be part of a business where your ideas and expertise will make a difference, we'd love to hear from you. Apply today for a confidential discussion

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

A reputable recruitment consultancy in the United Kingdom seeks an immediately available candidate for a part-time administrative role. The role is part-time, totaling 16 hours per week, with pay ranging from £12. The position offers a flexible hybrid working arrangement and involves data input usi

The role focuses on managing and delivering HR data outputs and requires advanced MS Excel skills and previous data analysis experience. Umbrella or £20 per hour PAYE, reflecting duties that include developing insights from HR data and supporting decision-making processes. Matchtech is seeking an H

The position offers part-time hours (2. Reed is seeking a Trade Waste Business Support Officer to support waste and environment services through accurate data and account analysis.

Sellick Partnership is seeking an experienced Data & Insight Manager on a part-time basis for an initial 3-month contract. You will lead data governance, improve data quality, and deliver meaningful insights through dashboards and analytics using Power BI. The role involves collaborating with senior

This part-time term-time role (1-2 days/week, 38 weeks/year) is based in the Trust office at Reigate School. Greensand Multi Academy Trust is seeking a methodical, analytical Trust Data Manager to lead data development, management and analysis across our Trust of schools, supporting decision-making,

Mid-Senior level, part-time employment, with experience in Accounting/Auditing and Finance, particularly in Venture Capital and Private Equity Principals. Our client is an established private equity firm that is seeking to recruit a Data Analyst on a part-time basis. Issuance of data requests and li

Aldridge Adult Learning, part of Aldridge Education, is seeking a part-time Data Administrator and Exams Officer in Brighton. The role offers part-time hours (30 per week) in a supportive environment. Join a dedicated team focused on data integrity, regulatory adherence and a high-quality learner ex

Penketh High School is seeking a permanent, part-time Careers, Enrichment & Data Administrator from 26 September to provide high quality administrative, organisational and analytical support across the school's careers, enrichment, curriculum, assessment, examinations and data functions.

Select Engineering in the United Kingdom is seeking a part-time administrator to manage remarketing functions, including stock exchange sales, pricing and data feeds. Experience in automotive remarketing and strong Excel/data analysis skills are required; AI data analysis experience is a plus.

Red Snapper Recruitment Limited is recruiting for a Business Support and Intelligence Officer on a temporary 3‑month, part‑time basis (22. The successful candidate will analyse complex data, compile reports, and provide insights to support the Community Safety Business Unit.

Hull City Council is seeking a part-time, fixed-term Business Analyst to support the Customer Experience team during maternity leave. The role involves analyzing data, mapping end-to-end processes, and recommending improvements to enhance customer services.

A private equity firm is seeking a part-time Data Analyst to support the Head of ESG and CFO. This role involves data collection, liaising with investee companies regarding ESG compliance, and analyzing data trends.

A leading educational data consultancy in Hertfordshire seeks a part-time Data Analyst to support data analysis efforts for a secondary school. The role involves delivering data insights using Google Sheets and Excel, analyzing exam results, and assisting with various data tasks.

Weetabix is seeking an IT Data Administrator for a part-time role (25 hours per week across 5 days). You will maintain master data across core systems and act as the first point of contact for data enquiries, ensuring data accuracy and governance. As Weetabix scales, you will strengthen data quality

Strong interest in data analysis, market research, business intelligence, and data-driven decision-making. Basic understanding of databases and data management principles. Integrate historical data and establish separate databases using Microsoft Access.

Alongside the project, the successful candidate will also be supporting our organisation to deliver better outcomes through effective data analysis and insight, as part of our Data Analytics and Research Team within the wider Policy and Partnerships service area. You must also have effective analyti

Career Level - IC4Key ResponsibilitiesData Center Design & Implementation-Cabling InfrastructureImplements structured cabling solutions for new data center builds and expansions. Data Center Design & Implementation-Implementation & Continuous ImprovementCoordinates infrastructure implementation effo

You’ll collaborate closely with our analytics engineering team, building a clean, highly scalable marketing data modeling infrastructure in Snowflake (using dbt)Work closely with Marketing Leadership on complex questions to drive the most optimal growth strategiesSuggest and perform analysis of la

Push data warehouse data back into operating systems to create complete workflows and data lifecyclesDebug data discrepancies across source systems and downstream tools, identifying the causes and automating solutions to prevent issues moving forward. What's the role We're looking for a Data Analys

What you'll work onKafka architecture, topic design, governance, partition strategy, throughput and latency optimization. Data team tooling with self-service capabilities and observability. Who we're looking forYou've operated data infrastructure at petabyte scale or billions of events/day.

Primary Areas of coverage would include – data integration technology and markets data ecosystem and data management platforms data engineering practices and skills dataOps methodologies for agile engineering understanding of modern data integration styles like streaming, virtualization/fe

Stay connectedFollow us on TwitterLearn on the Kraken BlogConnect on LinkedInCandidate Privacy NoticeLocationUnited Kingdom; Argentina; Brazil; Bulgaria; Canada; Chile; Colombia; Cyprus; Czech Republic; Hungary; Ireland; Lithuania; Mexico; Peru; Poland; Portugal; Romania; SpainEmployment TypeFull ti

LocationManchester, Greater Manchester, United Kingdom Salary60000 - 80000 per annum + Bonus + Benefits Job typePermSenior Data Engineer (AWS) – Manchester(Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeli

LocationManchester, Greater Manchester, United Kingdom Salary60000 - 75000 per annum + Bonus + Benefits Job typePermSenior Quantexa Data Engineer – Manchester / Hybrid(Quantexa Data Engineer, Lead Data Engineer, Senior Data Engineer, Data Engineering Manager, Quantexa, Spark, Scala, Python Databri

What you would doReview transaction monitoring and fraud rule performance to identify gaps, inefficiencies, and opportunities to improve detectionInvestigate trends, anomalies, and behavioural patterns across transactions, properties, and customer activityImprove how cases are prioritised by risk, r

Join us, and be part of the team making that future possible!We are looking for a Staff Data Engineer to join our Data Platform team and help shape how we collect, model, and serve data across our entire organization. Preferred, but not required: Experience with streaming architectures, infrastructu

Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity. Be part of something bigger - apply now!#LI-CYBERPrimary Location: GB - Bristol - Coldharbour LaneContract Type:PermanentHybrid Working:OnsiteJob SummaryJob number: R0014745Date post

What you'll doYour key accountabilities will includeDesign, build and maintain robust, scalable data pipelines that support data science workflows and advanced analytics use casesDevelop and manage complex Airflow orchestration, ensuring pipelines are reliable, observable and maintainableWork hands-

We're particularly interested in engineers with experience of:Mechanical Building Services DesignData Centre DesignMission Critical FacilitiesHVAC DesignChilled Water SystemsCooling PlantVentilation SystemsHeat Load CalculationsEnergy Efficient DesignBIM and RevitTechnical Report WritingClient Liais

LocationManchester, Greater Manchester, United Kingdom Salary45000 - 65000 per annum + Bonus + Benefits Job typePermData Engineer (AWS) – Manchester(Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark,

Unfortunately, applications without relevant Data Centre design experience cannot be considered for these particular vacancies. At Eligo Recruitment, we partner with leading consultancies that are shaping the future of critical infrastructure. The UK's Data Centre market has never been more exciting

What you will do as a Principal Data Engineer Provide technical leadership and oversight for data engineering delivery within your team Lead the design, implementation and maintenance of end-to-end data solutions: acquisition, integration, storage, processing, and analysis Implement scalable data

Job ID: 200043484Posted: 2026-07-13Location: United Kingdom, Multiple Locations, Multiple LocationsEmployment type: Full-TimeWork site: 0 days / week in-office – remoteRole type: Individual ContributorTravel: 25-50%Profession: Research, Applied, & Data SciencesDiscipline: Data ScienceCompany: Micr

What's in it for youBeing a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. What you’ll doYour key accountabilities will includeLead analytical work on high-value opportunities, collaborating with product teams, business stakeholders and da

To be successful in this role you will need the following:10+ years of experience in data management, data analysis, data quality, or SAP data migration. Strong knowledge of data governance, data quality frameworks, profiling techniques, metadata management, and data catalog solutions. Analyze legac

Sr Tech Business Analyst, AVP in Whippany, NJ to analyze complex datasets and document AML requirements.

Relevant experience in a Data Quality, Data Governance, Data Stewardship, Master Data, Information Management or similar role. Data Quality – the data completeness, accuracy and timeliness characteristics that are fundamental to the effective running of GTRS. The Data Quality Analyst is responsibl

This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. A Day in the Life of an Online Data Analyst:. Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and

Digital Tasks: Completing trial or promotional offers from our partners. Total Flexibility: You decide when and how often you participate. We provide a platform where you can choose from a wide range of paid online tasks, including testing mobile games, participating in market research, and completi

Core duties: Analysing and maintaining Earned Value Management (EVM) data, including identifying trends, diagnosing data issues, and supporting corrective actions Ensure the Performance Measurement Baseline (PMB) is maintained along with adherence to EIA-748 Developing, validating, and maintaining h