At a Glance
- Tasks: Manage and process data for clean water projects, ensuring accuracy and compliance.
- Company: Cappagh Contractors, a leading civil engineering firm in the utilities sector.
- Benefits: Competitive salary, career progression, ongoing training, and a supportive work environment.
- Other info: Dynamic role with opportunities for growth and a focus on quality and safety.
- Why this job: Join a team making a real difference in clean water projects and develop your skills.
- Qualifications: Experience in data coordination and strong IT skills required.
The predicted salary is between 31500 - 38500 £ per year.
Location: Date Posted 13 Aug 2026
From £30,000 a year
Company: Cappagh Contractors
Reports to: Contract Manager
Role Overview:
As a Data Coordinator at Cappagh Contractors, you will be responsible for managing, processing, and ensuring the accuracy of operational and project data related to the clean water framework. Your work will support project delivery, compliance, and reporting, enabling effective decision-making and contributing to overall project success.
Key Responsibilities:
- Collect, input, and validate project data from site teams, subcontractors, and suppliers, ensuring accurate and timely records.
- Maintain and update databases and project management systems, ensuring all information is current and compliant with company and client requirements.
- Prepare regular reports, dashboards, and data summaries for management, clients, and regulators as required.
- Liaise with site supervisors, engineers, and project managers to resolve data discrepancies and clarify data requirements.
- Assist in monitoring project progress by tracking key performance indicators (KPIs), milestones, and deliverables.
- Support data audits and ensure compliance with internal procedures and industry standards.
- Assist with document control, including filing, archiving, and retrieving project documentation as necessary.
- Identify opportunities for process improvement in data management and reporting.
- Provide support and guidance to site teams on data collection procedures and best practices.
- Maintain confidentiality and integrity of all project and company data.
Skills and Experience:
- Previous experience in a data coordination, administration, or project support role, preferably within construction, utilities, or engineering sectors.
- Strong attention to detail and high level of accuracy in data entry.
- Excellent organisational and time management skills.
- Strong IT skills, including proficiency with MS Office (Excel, Word, Outlook) and experience with databases or project management software.
- Ability to work independently, as well as collaboratively as part of a team.
- Good communication skills, with the ability to liaise with various stakeholders.
Qualifications:
- GCSEs (or equivalent) in English and Maths; further education or relevant professional qualifications in administration, data management, or a related field is desirable.
- Training or experience in data protection and GDPR compliance advantageous.
About Cappagh Contractors:
Cappagh Contractors is a respected civil engineering company specialising in utilities and water sector projects. We offer opportunities for career progression, ongoing training, and a commitment to quality, safety, and customer service.
Working for Cappagh you will be the frontline of our business, embodying our “can do” attitude at every step of the way.
Job Types: Full-time, Permanent
Pay: From £30,000.00 per year
Data Transfer Coordinator – Clean Water Framework in Havant employer: Cappagh Public Works Ltd
Cappagh Public Works Ltd is an excellent employer, offering a supportive work culture that prioritises safety and punctuality. With local contracts and ample overtime opportunities, employees can enjoy a stable work-life balance while advancing their skills in a dynamic environment. Join us to be part of a team that values professional growth and community impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Transfer Coordinator – Clean Water Framework in Havant
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Cappagh Public Works Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Transfer Coordinator – Clean Water Framework at Cappagh Public Works Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Cappagh Public Works Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Data Transfer Coordinator – Clean Water Framework at Cappagh Public Works Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Transfer Coordinator – Clean Water Framework in Havant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Cappagh Public Works Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cappagh Public Works Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cappagh Public Works Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Cappagh Public Works Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.