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- Tasks: Develop and optimise data pipelines for major engineering projects in construction.
- Company: Join a leading multidisciplinary consultancy with a strong culture of innovation.
- Benefits: Enjoy a competitive salary, car allowance, bonus, pension, and private healthcare.
- Other info: Hybrid working model with opportunities for career progression and collaboration.
- Why this job: Make an impact on landmark projects while working with cutting-edge digital technologies.
- Qualifications: Experience in data analysis or engineering, with skills in Python, SQL, and cloud environments.
The predicted salary is between 50000 - 70000 £ per year.
Senior Data Analyst / Data Engineer 💰 Salary: £50,000 – £70,000 🚘 Benefits: £5,000 Car Allowance + 10% Bonus + Pension + Private Healthcare 🚀 Progression: Associate ➝ Senior Associate ➝ Partner 🏢 Locations: London | Bristol | Winchester | Reading | Birmingham (Hybrid Working) Data Management, Digital Engineering – Construction & Built Environment We’re seeking experienced Senior Data Analysts / Data Engineers with a background in the construction and built environment to join a forward-thinking Digital Engineering consultancy at the forefront of innovation. Part of a national multidisciplinary property and construction consultancy, this role offers the opportunity to work on landmark, long-term programmes, driving the integration of data, BIM and digital technologies to transform how major projects are designed, delivered and operated. In this role, you’ll collaborate with multidisciplinary teams to build and optimise robust data pipelines, apply advanced analytics, and leverage cutting-edge digital tools to enhance project performance and inform strategic decision-making. Flagship Programme of Works You’ll play a key role on a £1.3bn+ 10-year programme centred around the Ellison Institute of Technology at Oxford Science Park, with complementary projects in London. Key projects include: 300,000 sq ft of state-of-the-art research laboratories, Oncology and care clinics, Education and collaboration spaces, A new modern campus and London HQ. Beyond this programme, the company partners with high-profile clients across defence, manufacturing, healthcare, residential, cultural, education, and motorsport (Formula 1), delivering projects ranging from £5M to over £500M. About the Company A national multidisciplinary consultancy with: 1,400+ employees across 14 UK offices, £140m+ annual turnover and 15 years of consistent growth, 80% repeat business year-on-year, A strong culture of innovation and long-term client and employee retention The business delivers services across the built environment in project and cost management, architecture, engineering, planning and digital engineering. Digital Engineering, Data & BIM Capabilities Their specialist award winning Digital Engineering team provides innovative services across the construction sector to clients, consultants and contractors, including : BIM Coordination & Information Management, 4D Simulations and Model Firestopping Reviews, Digital Twin & Building Safety programmes, Digital FM Solutions, BIM Automation, Programming, and Data Integration, Data Analytics & Data Management. You’ll join a collaborative, ambitious team that pushes the boundaries of BIM and data, contributing to pioneering pilot projects and shaping digital strategy across the consultancy. Working Arrangements Agile working model – 3 days across office, client or project site Regular site presence required at the Oxford project (1 day a week) Applicants within commuting distance of Bristol, Winchester, Reading, London, or Birmingham are encouraged to apply. 💰 Salary: £50,000 – £70,000 🚘 Benefits: £5,000 Car Allowance + 10% Bonus + Pension + Private Healthcare 🚀 Progression: Associate ➝ Senior Associate ➝ Partner 🏢 Locations: London | Bristol | Winchester | Reading | Birmingham (Hybrid Working) Key Responsibilities * Develop, maintain and optimise data pipelines to support digital workflows across major engineering projects. * Collaborate with multidisciplinary teams to define data requirements and deliver tailored analytical solutions. * Clean, transform and analyse complex datasets to uncover trends and performance insights. * Build dashboards and reporting tools to provide actionable intelligence to stakeholders. * Integrate BIM, GIS, IoT and other digital technologies to support data-driven delivery. * Uphold high standards of data quality, governance and security. * Contribute to automation tools and scripting to streamline processes. * Stay at the forefront of emerging data technologies to enhance team capability. Skills & Experience We’re looking for an experienced Data Analyst / Data Engineer with construction, engineering or infrastructure sector experience — open to a range of projects within the built environment including buildings, civils, property etc * Proficiency in Python, SQL, Power BI (or similar platforms — not all required) * Experience with cloud data environments (Azure, AWS, GCP) and version control (e.g. Git) * Strong understanding of data governance, quality assurance and security * Familiarity with BIM, GIS, IoT or other digital engineering technologies * Proven ability to turn complex data into clear, actionable insights * Proactive problem solver with an eye for process optimisation and automation * Excellent communication and collaboration skills * Likely educated to degree level or above in engineering, construction, BIM or a related subject Alongside Senior Data Analyst also looking or Data Analysts in the same locations & working on the same opportunity paying £35 – 50,000 + pkg
Construction Data Analyst employer: Charlton Recruitment
Contact Detail:
Charlton Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Construction Data Analyst
✨Tip Number 1
Network like a pro! Get out there and connect with people in the construction and data sectors. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to construction or engineering. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Research the company and its projects, especially the ones mentioned in the job description. Be ready to discuss how your experience aligns with their needs and how you can contribute to their innovative work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. So, hit that apply button and let’s get you on board!
We think you need these skills to ace Construction Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Construction Data Analyst. Highlight your experience in data management and any relevant projects you've worked on in the construction sector. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about digital engineering and how you can contribute to our innovative team. Keep it concise but impactful, and don’t forget to mention specific projects or technologies that excite you.
Showcase Your Technical Skills: We’re looking for proficiency in tools like Python, SQL, and Power BI. Make sure to include any relevant technical skills in your application. If you’ve worked with cloud environments or BIM technologies, shout about it!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Charlton Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and technologies mentioned in the job description, like Python, SQL, and Power BI. Brush up on your knowledge of cloud environments like Azure or AWS, as well as BIM and GIS technologies. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experience where you've tackled complex data challenges. Think about how you optimised processes or improved data quality. This will demonstrate your proactive approach and ability to turn data into actionable insights, which is crucial for this role.
✨Understand the Company’s Projects
Research the key projects the company is involved in, especially the flagship programme at the Oxford Science Park. Familiarise yourself with their approach to digital engineering and how they integrate data into their workflows. This knowledge will help you align your answers with their goals during the interview.
✨Practice Collaborative Scenarios
Since the role involves working with multidisciplinary teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you defined data requirements and delivered tailored solutions. Highlighting your communication skills will be key to showing you’re a great fit for their team-oriented culture.