Market Insights Report 2025
Explore the latest hiring trends and in-demand skills shaping the employment landscape in 2025 to guide your hiring strategies or job search.
Explore the latest hiring trends and in-demand skills shaping the employment landscape in 2025 to guide your hiring strategies or job search.
Explore the latest hiring trends and in-demand skills shaping the employment landscape in 2025 to guide your hiring strategies or job search.
Explore the latest hiring trends and in-demand skills shaping the employment landscape in 2025 to guide your hiring strategies or job search.
The tech industry is moving at a rapid rate and keeping yourself updated as a tech professional can be challenging. Continuous learning is key in an industry that is constantly evolving. The process of figuring out which trends to follow, which skills to learn and how you can grow your career can be intimidating. We speak to a tech professional, who has recently made a career move, on his thoughts about the changes in the industry and how he keeps himself updated.
I am currently a KDB+ System Developer and I was introduced to this opportunity through Michael Nette from Ambition.
When I made the decision to proceed with this career move, my primary goal was to enhance my skills and learn. As a tech professional, upskilling is important, and I wanted to learn how to build a sound financial data system from front market data flow to end-user portals. In addition, improving my project management skills was another area I wanted to look at.
I was introduced to this role by Ambition and it has given me great exposure to the professional field.
We’ve observed plenty of growing trends and I think the ones that will have a big impact on the industry are low latency, encryption/security, Artificial Intelligence (AI) and cloud.
There are several technologies that are fast-growing and there are related skills that will come in handy as companies explore these new areas. Examples of such skills include:
Big Data – KDB+, Hadoop, and Spark
Low Latency – Q, C, and C++
Machine Learning – Python, TensorFlow, and PyTorch
Cloud – AWS, Google Cloud Engine, and Heroku
Two big areas that are growing are blockchain and deep learning. New advancements are continuously being made and applied to different businesses. It will be interesting to see what developments will be made over the next few years.
We try to adopt them in our projects, and this gives me practical, hands-on experience that allows me to keep updated with recent developments and the introduction of new technologies.
One of the challenges that I’ve encountered is to process tens of millions of records in real-time and join multiple fast-updating tables for additional information. The next step would be to pipe this data through APIs and Gateways. KDB+ is robust in a single threaded scope but difficult when it comes to scaling.
Of course, the optimal situation is to have the perfect code but it’s difficult and a bit idealistic, although it’s encouraged. What I’ve learnt is that it’s more important to deliver within cycles and to perform as expected without errors.