A recent jobs market survey has found that in Europe, competition for jobs has doubled in the last year, with the fastest-growing jobs in the areas of sustainability, AI, cybersecurity and business development.
New positions are also emerging that didn’t exist 20 years ago, with in-demand job titles including those of sustainability manager, AI engineer and cybersecurity analyst.
Data from GitHub shows that in 2023, JavaScript, Python, TypeScript, Java, and C# were the most used on its platform. Each has different capabilities but broadly, these languages are used for web applications, software development, AI and machine learning, and data.
This points to it being a good time to be a software engineer, and that makes sense in a post-pandemic environment, which saw the speedy scaling adoption of cloud adoption, and a rapid move towards the digitisation of services.
Now, as more Europeans than ever do their daily admin and tasks online, industries from banking to retail are looking for talent to develop, maintain, secure and use data to improve their offerings.
Software talent is in demand
Software roles in general are in demand, with jobs site Indeed saying that the most wanted roles this year include front-end developer, software engineer, data scientist, cloud engineer, full-stack developer, DevOps engineer, computer vision engineer, and back-end developer.
The rise of skills-based hiring is good news for tech pros as well. As the demand for talent intensifies thanks to rapidly-evolving technologies, workplace requirements are changing far more swiftly than education can keep up with.
So it is those workers with proven experience and knowledge of their subject areas, and who can help to build agile, innovative, and future-proof workforces that employers really want to hire.
Whether you want to work in cloud, big data or project management, or something else, there is a role out there for you. The Silicon Canals Job Board contains thousands of open roles all across Europe. Discover just three of them below.
Analytics Engineer (L5) – Globalization, Netflix, Amsterdam
As an Analytics Engineer (L5) – Globalization, you’ll work in the Globalization Data Science and Engineering team, which is at the forefront of removing language barriers and providing a stellar member experience to all members, regardless of their language preferences. You’ll act as a strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with automated data solutions, and drive the direction and execution of your work, from developing scrappy analytic tools to designing scalable analytic systems. Partnering closely with other engineers and scientists, you’ll improve foundational data models, and accelerate productization of data insights. You should have a proven track record of designing and developing scalable analytic tools and systems, along with a high proficiency in standard tech stack (Python, SQL, Spark) and common data visualization tools (Streamlit, Tableau), and be familiar with fundamentals of machine learning and statistical inference, as well as data engineering best practices. See more here.
DevOps Engineer Hightech, Capgemini, Utrecht
Working as part of an agile software team, the DevOps Engineer is involved in the entire software process within customers’ projects. You’ll have experience programming in Java, Python, C/C++ or C#, and will know better than anyone what development teams need to carry out their work as best as possible. Your daily tasks will consist of developing and maintaining the CI/CD pipelines, consulting with colleagues, testing the latest technologies in, for example, Docker or Kubernetes, and deciding which ones can be implemented. To apply, you must have good speaking and writing skills in English, experience with Git, Jenkins/Gitlab/Github, Terraform and Ansible, along with knowledge of AWS/Azure/GCS cloud infrastructure and virtualization through Docker and Kubernetes. Get the full details here.
Senior Data Scientist AI (m/w/d), IBM, Frankfurt am Main
If you want to actively shape the transformation of an entire industry, take a look at this Data Scientist AI job, which can be undertaken in either Cologne or Frankfurt. Here you’ll combine your banking know-how with a wide range of technical innovations such as artificial intelligence, and will work on individualised solutions for customers in the banking environment. You can look forward to an agile working environment working together with customer managers in a BizDevOps set-up to implement exciting data science and AI use cases. To apply, you’ll need strong experience in Python, R and R Shiny, knowledge of Pandas and Numpy, along with knowledge of cutting-edge data science techniques and how to apply them, as well as experience cleaning, analysing and aggregating large data sets. See more application criteria.
Want a new software job? Find it on the Silicon Canals Job Board now
Read the orginal article: https://siliconcanals.com/news/startups/kai/guestblog/3-tech-roles-across-the-eu/
