Working From Home: The Debate

With COVID-19 changing the way many of us work, multiple studies have attempted to determine whether the negatives of working from home, outweigh the positives. In fact, as many businesses now announce a more permanent shift towards flexible working, and working from home, with Amazon’s CTO Werner Vogels declaring that; “In 2020 and beyond, most organisations are going to be transforming into a completely cloud-based environment”, this debate becomes increasingly more prominent.

Here are some of the pros and cons to working from home and the new way of working that we’re experiencing.

The Pros

Greater Flexibility

Of course you have to put in the required hours, and meet the necessary deadlines, but you make the decision on how to achieve that. Working from home allows you to work during your most productive times, wear what you’re most comfortable wearing and create a workflow that works for you.

This can be particularly useful in easing the load at the end of the ‘working’ day: rather than coming home to a mountain of dishes, laundry and so forth, you can take 10 or so minutes out a few times a day to keep household ‘admin’ under control.

Reduced Distractions

While there may be distractions at home, you control them much easier than you can control distractions that come from coworkers, employees, and other office-based noise. Remote workers typically have more time and fewer distractions, which leads to increased productivity – a huge benefit of working from home for both employees and employers alike.

Work/Life Balance

You might get déjà vu with this one as you scroll down. But of course, working from home can improve your work/life balance. Many professionals struggle with finding a balance between work and their personal lives. Working from home can make this balance a little bit easier to find and maintain.

However, there is a caveat to this in getting that balance right and making a clear distinction between your work and home life.

No Commute

No more crowded buses or trains. No more annoying traffic jams. You’re surrounded by tired, frustrated and stressed out faces of all the daily commuters first thing in the morning. How are you supposed to keep up your good mood?!

Not to mention, having a long commute to and from work can save a great deal of time and money. Just think of what you could do with that time. Sleep a bit longer, go for a run, have a long breakfast – the list is endless.

The Cons

Loneliness 

Possibly the largest disadvantage to working from home, and whilst some employees would argue that benefits of working from home include not constantly having to do the tea run, and avoiding that annoying colleague; it is evident that a lack of office environment can lead to feelings of isolation.

Tech Exhaustion

Not only does working from home allow us to have meetings in our pyjamas, but with the help of technology we can now connect with people from all around the world. Nonetheless, it would seem that technology can also have a detrimental effect on people working remotely.

A study by Twingate, reported that 40% of employees declared feeling mentally exhausted as a result of video calling, in addition to 59% of respondents who felt less cyber secure working from home, compared to in the office. 

Work/Home Life Boundaries

In a study by the United Nations 41% of employees stated an increase in their stress levels, due to the lack of a boundary between work and home life as a result on working from home.

It’s becoming increasingly evident that employees struggle with work-life balance when working remotely. Whilst this non-existent boundary has enabled more people to be productive, the Mental Health Foundation found that people in the UK were working an extra 28 hours a month – in the long-run it could be a cause for burnout. 

Environmental Impact

Finally, consideration should also be paid to the impact working from home has on the environment. Research from WSP, concluded that working from home in the UK summer months would reduce a commuter’s carbon emissions by 5%.

However, this reduction by remote working, would be offset if the employee was to work from home for the entirety of the year, as they would produce 80% more tonnes of carbon than an office worker, as a result of heating in the winter months.

The Answer?

Perhaps an answer to the overall debate belongs in the middle ground; a mixture of both working remotely and working in the office.

Are you looking for a career change or for talented tech professionals to join your team? 
Speak with our specialist consultants today.

More Insights

Benjamin Hanrieder

Q&A Benjamin Hanrieder (CTO, Engel & Volkers)

In this interview, Benjamin Hanrieder, CTO at Engel & Völkers Technology, discusses the company’s digital transformation, software development practices, and the role of the Cloud Platform Team in ensuring reliable and secure infrastructure. Mat Roche (MR): Can you give us an overview of your background?  Benjamin Hanrieder (BH):  Hi Mat,

Read more >

Get In Touch

Fill out the form below, and we will be in touch shortly.

Seniority

Software Developers
Senior Engineers
Software Architects
Senior Software Architects
Software Tech Leads
Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering


Software Developers
Senior Engineers
Software Architects
Senior Software Architects
Software Tech Leads
Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering

 

Software Developers
Senior Engineers
Software Architects
Senior Software Architects
Software Tech Leads
Senior Software Tech Leads
Software Tech Lead Managers
Senior Software Tech Lead Managers
Director of Engineering
VP of Engineering

 

Role

Full-stack Developers
Back-end Developers
Front-end Developers
DevOps Engineers
SRE Engineers
Cloud Engineers
Platform Engineer
Security Engineers
Mobile Developers
App Developers
No1 software engineers

Full-stack Developers
Back-end Developers
Front-end Developers
DevOps Engineers
SRE Engineers
Cloud Engineers
Platform Engineer
Security Engineers
Mobile Developers
App Developers
No1 software engineers

Full-stack Developers
Back-end Developers
Front-end Developers
DevOps Engineers
SRE Engineers
Cloud Engineers
Platform Engineer
Security Engineers
Mobile Developers
App Developers
No1 software engineers

Skills

React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

React.js
Node.js
AWS
JavaScript
React
Native
PostgreSQL
Ruby on Rails
Java
Angular
Golang
PHP

Sample By Job Family

Data Scientists
Data Engineers
Data Architects
Data Modelers
BI Developers
Data Analysts
Data Quality Engineers
Data Governance Experts MLOps Engineers
DataOps Engineers
Data Product Managers
Executive Data Leadership

Data Scientists
Data Engineers
Data Architects
Data Modelers
BI Developers
Data Analysts
Data Quality Engineers
Data Governance Experts MLOps Engineers
DataOps Engineers
Data Product Managers
Executive Data Leadership

Sample of Platforms & Tools

Cloud DW: Snowflake, BigQuery, Redshift ETL/ELT Tools: Airflow, dbt, Fivetran, Talend Big Data Frameworks: Spark, Hadoop, Kafka BI & Visualization: Tableau, Power BI, Looker ML Libraries: TensorFlow, PyTorch, Scikit MLOps Platforms: MLflow, Kubeflow, W&B Data Governance: Collibra, Alation Data Observability: Monte Carlo, Databand Data Lakes: Lake Formation, Delta Lake SQL/NoSQL DBs: PostgreSQL, MongoDB Real-time Analytics DBs: Apache Pinot, Druid Gen

Cloud DW: Snowflake, BigQuery, Redshift ETL/ELT Tools: Airflow, dbt, Fivetran, Talend Big Data Frameworks: Spark, Hadoop, Kafka BI & Visualization: Tableau, Power BI, Looker ML Libraries: TensorFlow, PyTorch, Scikit MLOps Platforms: MLflow, Kubeflow, W&B Data Governance: Collibra, Alation Data Observability: Monte Carlo, Databand Data Lakes: Lake Formation, Delta Lake SQL/NoSQL DBs: PostgreSQL, MongoDB Real-time Analytics DBs: Apache Pinot, Druid Gen

Sample of Skills Delivered

Programming in Python, R, and SQL
Python
Data Modeling Statistical
Analysis ETL/ELT
Pipeline Development
Database Design & Administration
Machine Learning Fundamentals
Cloud Data Warehousing
Data Ethics & Compliance
Data Security
Data Visualization & Storytelling
Real-Time Data Streaming

Programming in Python, R, and SQL
Python
Data Modeling Statistical
Analysis ETL/ELT
Pipeline Development
Database Design & Administration
Machine Learning Fundamentals
Cloud Data Warehousing
Data Ethics & Compliance
Data Security
Data Visualization & Storytelling
Real-Time Data Streaming

Sample By Job Family

AI Software Engineers
Gen AI Engineers
Machine Learning Engineers
Deep Learning Engineers
Prompt Engineers
AI Research Scientists
NLP Engineers
Computer Vision Engineers
MLOps Engineers
AI Product Managers
AI Governance Specialists
AI Ethics Office
AI Architects Executive

AI Software Engineers
Gen AI Engineers
Machine Learning Engineers
Deep Learning Engineers
Prompt Engineers
AI Research Scientists
NLP Engineers
Computer Vision Engineers
MLOps Engineers
AI Product Managers
AI Governance Specialists
AI Ethics Office
AI Architects Executive

Sample of Platforms & Tools

LLMs: Open AI, Anthropic, Llama, Gemini ML Platforms: SageMaker, Vertex AI, Azure ML ML Libraries: scikit-learn, XGBoost, LightGBM DL Frameworks: TensorFlow, PyTorch, Keras LLM Frameworks: LangChain, LlamaIndex Vector Databases: Pinecone, Weaviate, Milvus Data Science Notebooks: Jupyter, Colab, Kaggle Data Visualization Libraries: Matplotlib, Seaborn NLP Libraries: Hugging Face Transformers CV Libraries: OpenCV, Pillow, Albumentations MLOps Tools: MLflow, Kubeflow, W&B

LLMs: Open AI, Anthropic, Llama, Gemini ML Platforms: SageMaker, Vertex AI, Azure ML ML Libraries: scikit-learn, XGBoost, LightGBM DL Frameworks: TensorFlow, PyTorch, Keras LLM Frameworks: LangChain, LlamaIndex Vector Databases: Pinecone, Weaviate, Milvus Data Science Notebooks: Jupyter, Colab, Kaggle Data Visualization Libraries: Matplotlib, Seaborn NLP Libraries: Hugging Face Transformers CV Libraries: OpenCV, Pillow, Albumentations MLOps Tools: MLflow, Kubeflow, W&B

Sample of Skills Delivered

Generative AI Development
Machine Learning Algorithms
Deep Learning Architectures
NLP and NLG
Computer Vision
Data & Feature Engineering
MLOps & Model Deployment
Statistical Analysis & Hypothesis Testing
Python and R Programming Expertise
Model Evaluation & Performance Tuning
AI Governance & Compliance
Autonomous AI Agent Engineering
Building Agentic AI Applications

Generative AI Development
Machine Learning Algorithms
Deep Learning Architectures
NLP and NLG
Computer Vision
Data & Feature Engineering
MLOps & Model Deployment
Statistical Analysis & Hypothesis Testing
Python and R Programming Expertise
Model Evaluation & Performance Tuning
AI Governance & Compliance
Autonomous AI Agent Engineering
Building Agentic AI Applications