Construction: Circularity Could See Emissions Drop by 75%.

“Every cloud has a silver lining,” and this saying is especially true in construction when we think about how a circular economy can change things for the better. 

The idea of a circular economy is about using materials and products over and over through reuse, repair, refurbishment, and recycling. This way of doing things requires a big change from the construction industry. It moves away from the old way of ‘take-make-dispose’ to a more sustainable approach that could help solve some of our biggest environmental problems. This article delves into how embracing circularity in the construction sector could be a game-changer in reducing carbon dioxide emissions — possibly by a staggering 75%!

A New Dawn in Construction

The construction industry is a major player in global development, but it’s also responsible for about 26% of the world’s greenhouse gas emissions. This is a big deal, considering how large the industry is and how it shapes our cities and infrastructure. 

However, there’s good news from a recent report by the World Economic Forum and McKinsey. They say that the construction industry has a lot of room to make a positive environmental impact by using a circular economy model. This model suggests changing how we use materials and offers a new way to think about how we build and how long buildings last.

Circular Economy: A Concept Reimagined

In simple terms, a circular economy in construction focuses on using materials again and again. This means a lot less waste and fewer emissions. It’s a big change from the old way of doing things, which was basically “take, make, dispose.” If we start reusing materials like cement, steel, and plastics, the construction world can become more sustainable and save money. To make this happen, we need to change the way we think about building. Architects and builders should plan for how materials can be reused even before they start a project. This kind of thinking could lead to new, eco-friendly designs that also save money over time.

The Economic and Environmental Payoff

The benefits are clear in the numbers. By going circular, we could see global economic gains of up to £36 billion by 2030 and a huge £823 billion by 2050. These numbers show just how much money we can save by being sustainable. Plus, this change fits perfectly with our goals for global development. It’s good for both the planet and our wallets. The benefits aren’t just about less emissions. We’ll also need to take less from the earth and reduce our overall carbon footprint. On top of that, this change could create new jobs and boost green technology, making a strong case for a circular economy in construction.

Transforming Materials, Transforming the Sector

Each material in construction holds a specific potential for circularity:

Cement: Cement’s circular model presents the highest potential value, possibly generating £7.8 billion by 2030 and £96 billion by 2050.

Steel: Celebrated for its high recyclability, steel represents a significant opportunity for reducing emissions through circular practices.

Aluminium, Plastics, and Glass: Focusing on increasing the use of recycled materials in these sectors could cut emissions for these materials by up to 89%, 62%, and 41%, respectively, by 2050.

The Call to Action for Business Leaders

The report serves not just as an informative document but as a clarion call to construction business leaders in both public and private sectors. It outlines clear, actionable strategies for transition, emphasizing the importance of engaging the entire sector for a long-term reduction in greenhouse gas emissions.

The Path Ahead: Challenges and Opportunities

Authors Sebastian Reiter and Jukka Maksimainen of McKinsey highlight the extraordinary financial and carbon-saving potential of circularity. However, they also note the current lack of market solutions addressing this issue at scale. The path forward involves developing scalable solutions and encouraging innovation in material use and recycling practices.

Conclusion: A Future Worth Building

As we stand at the crossroads of environmental crisis and economic opportunity, the construction industry’s move towards a circular economy presents a beacon of hope. 

It’s not just about reducing emissions or saving costs – it’s about redefining the industry for a sustainable future. With the right strategies and commitment, the construction sector can indeed see a drop in emissions by 75%, setting a precedent for other industries to follow.

3 ways AI is helping companies meet their sustainability goals

The race against climate change and environmental degradation is on, and every tool at our disposal is crucial. At Altasu, we regularly encounter requests from our clients asking for skilled individuals in Artificial intelligence to help with their efforts to becoming a more sustainable company. Google-owned company, DeepMind is already using AI to tackle climate change. They have been able to improve the energy efficiency in data centres saving energy by 30 percent.

AI is no longer just science fiction; it’s rapidly evolving into a powerful force for good in the real world and has the potential to be a game-changer when it comes to sustainability. We delve into three key reasons on how AI is helping accelerate a more sustainable future from problem detection to solution design.

  • Measure, predict, and optimise large complex data:  AI can assist in identifying patterns, analysing large amounts of data, and helping us making better predictions when it comes to tackling complex environmental challenges. AI can help us with monitoring deforestation and illegal logging, optimising energy use, and helping improve precision in agriculture, for example analyse soil conditions, crop health, and weather patterns to guide farmers..
  • Accelerate the development of sustainability solutions: AI is providing us with more efficient research and development processes that is helping assist with sustainability solutions like low-carbon materials, renewable energy production and storage, and climate-resilient crops. AI is helping financial firms detect fraud and financial crime through via machine learning techniques increase financial stability through minimised error margins.
  • Help manage carbon. AI is helping automate solutions that unlock hidden efficiencies, optimise resource usage, and slash waste generation. It’s not a pipe dream; it’s the reality of green algorithms. Switching from an average data centre to a more efficient one can reduce carbon footprint by as much as 30 percent and further improvements are on the horizon.

Despite the potential benefits of AI for sustainability, there are challenges presented. Some of these challenges include job displacement and the large carbon footprint from the significant computing power used by running large AI models. This is just a starting point for the conversation about AI and sustainability, however, there is a long way to go before we can see the full potential AI has in accelerating this transformation in sustainability and help achieve NetZero. 

I encourage you to learn more about this important topic and get involved in making a difference. Together, we can build a cleaner, greener future for generations to come.

7 Quick Tips That Are Essential To Smashing Your Job Interview

It’s time to unlock Your Interview Success! 🚀

Ready to ace your next job interview? 💼 These essential job interview tips have led to hundreds of our candidates successfully landing new jobs. We’ve carefully curated insights to help you shine in the hot seat and secure that dream job. 🌐✨

Ready to ace your next job interview? 💼 These essential job interview tips have led to hundreds of our candidates successfully landing new jobs. We’ve carefully curated insights to help you shine in the hot seat and secure that dream job. 🌐✨

1)🔍 Research, Research, Research! Dive deep into the company’s background, values, and recent news before the big day. Show them that you’ve done your homework!

2)🤝 Practice Makes Perfect! Rehearse common interview questions and polish your responses. Remember, confidence is key!

3)👔 Dress the Part! Make a strong first impression by selecting an outfit that suits the company culture and showcases your professionalism. This shouldn’t change for video call interview either! It is also important to make sure you have a suitable background if you have a interview via a video call. A good tip is to blur out the background. Problem Solved!

4)🔗 Connect with your Interviewer! Establish a genuine connection by finding common ground and building rapport. It’s always worth checking out the LinkedIn page of the person/people who are are interviewing you to learn more about them. Authentic connections make a lasting impact!

5)📈 Highlight Your Achievements! Flaunt your accomplishments without hesitation. Quantify your achievements for that extra wow factor!

6)💡 Ask Thoughtful Questions! Demonstrate your interest by asking insightful questions about the role and the company. Remember, it’s an opportunity to learn as well!

7)📅 Follow Up! Send a heartfelt thank-you email after the interview. Express gratitude, reiterate your interest, and remind them why you’re the perfect fit.

We hope this helps you unlock success in your next interview! 🚀🔗

InterviewTips #CareerAdvice #JobSearch #SuccessTips #JobInterview

Career in Sustainability

Sustainability is now a key focus across many different industries. As the world grapples with pressing environmental and social challenges, businesses recognise the importance of implementing sustainable practices into their operations. 

sustainability tech

It’s not a question of whether companies need to consider sustainability in their business strategy. It is now a necessity. Sustainability is a top focus for businesses, quickly replacing technological innovation as the driver of market changes.

In interviews with 70 senior executives from renowned global institutional investment firms including the world’s largest asset managers such as BlackRock, Vanguard, and State Street, all insisted that ESG and Sustainability are important factors that must be considered in their plans. We are seeing more requests from various industries for candidates with experience in ESG and Sustainability. As companies look for sustainable solutions and transition opportunities, this ongoing shift is creating a new demand area for highly skilled professionals.

How do you start a career in Sustainability? Here are three tips that will give you everything you need to get started…

3 tips (2)

1. Understand your Field

Sustainability is a broad field that encompasses environmental, social, and economic aspects. Familiarise yourself with the different areas within sustainability, such as renewable energy, waste management, sustainable agriculture, or corporate social responsibility. This will help you identify your interests and determine the specific path you want to pursue. It’s important to gain a holistic perspective of key issues that combines technical, scientific knowledge with business expertise.

2. Gain Relevant Knowledge and Skills

To succeed in the sustainability field, it’s essential to have a strong foundation of knowledge and skills. Consider pursuing a degree or certification program related to sustainability. Many universities now offer specialized programs in sustainability or sustainable development. There are so many courses to consider from Environmental Science to Water Sustainability to Environmental Law and Regulations …. The list goes on..

  • Sustainability Studies 
  • Environmental Science 
  • Renewable Energy Systems 
  • Sustainable Business Practices
  • Climate Change Science and Policy 
  • Environmental Justice 
  • Urban Sustainability and Design 
  • Circular Economy Strategies 
  • Sustainable Agriculture Practices 
  • Water Sustainability and Management 
  • Environmental Law and Regulation 
  • Sustainable Architecture 
  • Innovation for Sustainability 
  • Environmental Health 

You can also enhance your knowledge through books, online courses or workshops that focus on specific aspects of sustainability.

3. Network

Building a strong professional network is crucial for any career, and sustainability is no exception. Meet likeminded people in your field by attending industry conferences, workshops, and seminars. Another great way to network in the industry is to join sustainability-focused organizations. This could be both locally and internationally. It will help you connect with individuals who have similar interests and opens the doors to find mentorship opportunities.

A few organisations include:

The Global Reporting Initiative (GRI)

The Sustainability Accounting Standards Board (SASB)

The International Society of Sustainability Professionals (ISSP)

These are just a few we have listed but there are hundreds or associations and organisations out there!

  • Net Impact
  • Green Building Councils 
  • Ceres
  • The Forum for Sustainable and Responsible Investment
  • B Corp
  • Responsible Investment Association (RIA)
  • Climate Bonds Initiative
  • Sustainable Apparel Coalition
Starting a career in sustainability offers an exciting opportunity to make a positive impact on the planet and actively contribute to solving environmental challenges. By building a strong foundation, gaining practical experience, and continuously learning, you can position yourself for a successful and rewarding career in sustainability. 
We would love to hear about your journey and anything you have found to be useful when pursuing a career within sustainability. Tell us all about it in the comments section below. Don’t forget to like and subscribe.


What is a Data Scientist and Data Engineer?

A job description doesn’t always give a full picture when it comes to recruiting data roles. Most organisations aren’t clear on their exact requirements. This leads to many recruiters out there searching for unicorn candidates that don’t exist. It’s not their fault. The variety of job roles across the data industry has boomed in the last decade. As practitioners and professionals, we’ve done a really bad job at making things easy to understand.

What are the major differences when it comes to a…

A Data Scientist, Data Analyst, Research Scientist, Data Engineer, A Big Data Engineer, Machine Learning Engineer, Data Architect, AI Developer, DBA, BI Developer…

The list goes on. These are just some of the roles where the boundaries aren’t always clear.

Getting a consensus on the definitions and distinctions between them leads to huge debates in the online communities. We are constantly sent job descriptions on a daily basis. We have a huge responsibility to dig deep to clearly understand what a company’s requirement is when they’re looking to hire new staff.

A common confusion comes from understanding the difference between a Data Engineer and a Data Scientist.


Head of Data Engineering, Nick Partner says that: “As short as 5 years ago and, in some places, still, ‘data’ was a term. Now it isn’t uncommon to have a Data Engineering, Analytics Engineering, BI and Reporting, and some data science with maybe some MLOps thrown in for good measure too. Data engineering and data science are probably either ends of the value chain but neither more nor less valuable to an organisation. Data Engineers will often write scripts and do the plumbing to suck in data and put it maybe in a datalake or even raw storage and akin to software develops in tooling and mentality. Data scientists on the other hand are more akin to mathematicians using computational models to find hidden insight that can’t be seen by a trend line or bar chart from BI such as working out which customers are similar and what factors cause that to be the case.”

Director of Data Science at Matillion says it more poetically:

“Data engineers construct the sturdy foundations that deliver the smooth flow of data

Data scientists unravel hidden truths from that data to weave into decision-making tapestries.

Data engineers systematically turn those decisions into actions. Without data, there’s no insight, without insight decisions become guesses, without decisions action is directionless, without action insight is irrelevant.”

Here is our overview of the difference between the two….

A data engineer is responsible for the design, construction, and maintenance of the systems and infrastructure required to store, process, and analyze large volumes of data. They focus on building and optimizing data pipelines, data warehouses, and databases.

A data scientist, on the other hand, is responsible for extracting insights and knowledge from data through statistical analysis, machine learning, and predictive modeling. They possess strong analytical skills and a deep understanding of mathematical and statistical concepts.

Data engineers work closely with software engineers and database administrators to ensure data flows smoothly and is accessible to data scientists for analysis. They are proficient in programming languages such as Python or Java and have expertise in handling big data technologies like Hadoop, Spark, or SQL.

Data scientists work with raw data and use various tools and techniques to preprocess, clean, and transform it into a format suitable for analysis. They then apply statistical modeling, data visualization, and machine learning algorithms to uncover patterns, make predictions, and derive meaningful insights that can drive strategic decision-making. Proficiency in programming languages like Python or R, as well as knowledge of data analysis and machine learning libraries, is essential for data scientists.

So, there it is! If you have anything you would like to add or say on this topic, feel free to share your comments in the comments section below. If you have any questions, drop them in the comment section below, reach out to us on LinkedIn or drop us an email at

Data Recruitment in High Demand?

The Growing Demand for Data Professionals

The data recruitment market has seen unprecedented growth in recent years, thanks to the increasing demand for skilled data professionals across various industries. There has been a rise in companies using big data, machine learning, and artificial intelligence which has led to businesses needing capable data scientists, analysts, engineers, and other data specialists to help make sense of the vast amounts of data that’s out there.

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Welcome to Altasu

Welcome to Altasu Recruitment’s website! We’ve officially launched and excited to either help you fill a vacant position within IT & Technology Recruitment or to help find your next career opportunity. Our website is designed to connect job seekers with employers through our large network of clients, making the job search process easier and more efficient.

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