How to hire top data engineers, the strategies for recruiting and retaining data engineering talent and the benefits of nearshoring and team extension.

As the world moves to a data-driven future, the public sector is no different. Companies, governments, and universities are turning to data engineers to help them make sense of the immense amount of data that is being collected. Unfortunately, the public sector is facing a significant talent gap in the data engineering space, making it difficult to find qualified professionals to fill key positions. In this article, we will discuss how to hire top data engineers, the strategies for recruiting and retaining data engineering talent, as well as the benefits of using nearshoring and team extension for software development services.

Introduction

Data engineering is a rapidly growing field that is essential to the modern economy. Data engineers are responsible for designing, building, and maintaining complex data pipelines, as well as integrating data from multiple sources and systems. They are responsible for the accuracy of the data and the integrity of the data storage systems. With the increasing demand for data-driven insights, the need for data engineers is growing in the public sector. From government agencies to universities, the need for data engineers is becoming more apparent.

A report by the McKinsey Global Institute estimates that by 2018, the United States had a shortage of 190,000 data engineers and analytics professionals and that this number could reach up to 250,000 by 2024. A survey by the Data Science Society found that 46% of data science professionals believe that the talent gap is the biggest barrier to adopting data engineers and analytics in their organizations. A report by the Harvard Business Review suggests that one way for organizations to bridge the talent gap is by using nearshoring or team extension in business intelligence departments, which allow organizations to access specialized talent on a flexible, project-based basis.

In the public sector, data engineers may work on projects related to healthcare, social services, transportation, finance, and many other areas, and their skills may be in high demand as organizations seek to leverage data to improve services and decision-making.

However, the public sector is facing a significant talent gap in the data engineering space. This has created a challenge for organizations looking to fill these positions, as it is often difficult to find the right candidates with the necessary skills and experience. Organizations must develop strategies for recruiting and retaining data engineers to bridge this talent gap.

The Growing Need for Data Engineering in the Public Sector

Data engineering is becoming increasingly important in the public sector, as the ability to process, analyze, and manage data is essential for modern organizations.

The volume of data being generated and processed is increasing rapidly, and it is expected to continue to grow in the coming years. This is due in part to the proliferation of connected devices and the increasing amount of data being generated by businesses, governments, and individuals. As a result, there is likely to be a significant demand for professionals with the skills and expertise to process and analyze large volumes of data, including data scientists, data engineers, and data analysts. Data engineers are responsible for developing and maintaining data storage systems, as well as designing and building data pipelines. They also work to integrate data from multiple sources and systems. This is becoming increasingly important as organizations collect more and more data and need to make sense of it in order to make informed decisions.

Data engineers are also responsible for ensuring the accuracy of the data and the integrity of the data storage systems. As data breaches become more common, the need for data engineers to secure the data is even more important. Without data engineers, organizations cannot trust the data they are relying on to make decisions.

Challenges in Finding Qualified Data Engineers

According to a report by the European Data Market, the EU data market is expected to grow from €75.7 billion in 2019 to €109.8 billion in 2024, representing a compound annual growth rate of 8.2%. This growth is expected to drive demand for data engineering professionals in the EU. A report by the European Union Agency for Cybersecurity (ENISA) found that the EU faces a shortage of cybersecurity professionals, including data engineers.

A report by the European Schoolnet found that the demand for data engineers and business intelligence professionals in the EU is expected to grow by 20% annually until 2020. A survey by the European Data Science Academy found that the top two challenges for organizations in the EU when it comes to adopting data engineers and analytics are the lack of qualified professionals (cited by 45% of respondents) and the high cost of hiring data science talent (cited by 36% of respondents).

Finding qualified data engineers is becoming increasingly difficult in the public sector. This is due to a number of factors, including the lack of qualified candidates, the competition for top talent, and the high cost of hiring.

The lack of qualified candidates is a significant challenge for many organizations. Data engineering is a highly technical field and requires a specific set of skills and experience. It is often difficult to find candidates who have the necessary skills and experience, as there are few universities offering data engineering courses and even fewer data engineers graduating from these programs.

The competition for top talent is also a major challenge. As more and more organizations recognize the need for data engineers, the competition for top talent is becoming increasingly fierce. This is compounded by the fact that many of the top data engineers are in high demand, making it difficult to find and recruit them. Finally, the cost of hiring data engineers is also a significant challenge. Data engineers are in high demand, and as a result, their salaries are often high. This can make it difficult for organizations to find qualified candidates within their budgets.

Strategies To Hire Data Engineer

To bridge the talent gap in the public sector, organizations must develop strategies for hiring top data engineers. There are a number of strategies that can be used, including using nearshoring and team extension data science services, exploring the benefits of team extension data science, and finding and managing a data engineering team.

Data science nearshoring is an effective solution for organizations looking to hire top data engineers. Nearshoring allows organizations to access a global talent pool without the high cost of traditional outsourcing. This is especially beneficial for organizations in the public sector, as they can access a larger pool of qualified candidates without the high cost of hiring local talent.

Team extension with a data engineer is another effective strategy for hiring a data engineer. This involves hiring a team of data engineers from a nearshoring provider, who will work with the organization’s existing team to develop data pipelines and other data-driven solutions. This is beneficial for organizations in the public sector, as it allows them to access a larger pool of talent and expertise without the high cost of hiring and managing an in-house team.

Finally, organizations should also consider finding and managing a data engineering team. This involves hiring a team of data engineers and managing them remotely. This can be beneficial for organizations in the public sector, as it allows them to access a larger pool of talent without having to manage an in-house team.

Data Science Nearshoring: An Effective Solution

Data science nearshoring is an effective solution for organizations looking to hire top data engineers. Nearshoring allows organizations to access a global talent pool without the high cost of traditional outsourcing. This is especially beneficial for organizations in the public sector, as they can access a larger pool of qualified candidates without the high cost of hiring local talent.

Nearshoring also provides organizations with access to a variety of data engineering services, such as data lake design, cloud computing, and data migration. This allows organizations to quickly and easily access the data engineering services they need, instead of having to develop the skills in-house.

In addition, nearshoring providers can provide the public sector with access to a variety of data engineering services, such as data lake design, cloud computing, and data migration. This allows organizations to quickly and easily access the data engineering services they need, instead of having to develop the skills in-house.

How to Find and Manage a Data Engineering Team

Finding and managing a data engineering team is a challenge for many organizations in the public sector. To make this process easier, organizations should develop a recruitment strategy that focuses on finding the right candidates with the necessary skills and experience.

Organizations should start by defining the roles and responsibilities of the data engineering team. This will help to ensure that the right candidates are hired and that their skills and experience are best suited to the role.

Organizations should also consider using recruitment platforms to find potential candidates. These platforms allow organizations to post job listings and receive applications from qualified candidates. This can help to streamline the recruitment process and ensure that the right candidates are hired.

Finally, organizations should consider using software such as project management tools to manage the data engineering team. This software allows organizations to assign tasks, track progress, and communicate with the team. This can help to ensure that the data engineering team is working efficiently and that projects are completed on time.

Exploring the Benefits of Team Extension Data Science

Team extension data science is an effective strategy for organizations in the public sector looking to hire top data engineers. This involves hiring a team of data engineers from a nearshoring provider, who will work with the organization’s existing team to develop data pipelines and other data-driven solutions. This is beneficial for software development organizations in the public sector, as it allows them to access a larger pool of talent and expertise without the high cost of hiring and managing an in-house team.

Team extension data science can also help organizations to reduce costs. By hiring a team of data engineers from a nearshoring provider, organizations can reduce the cost of hiring and managing an in-house team. This can be especially beneficial for organizations in the public sector, as they often operate under tight budgets.

Finally, team extension data science can also help organizations quickly develop data-driven solutions. By having a team of experienced data engineers, organizations can quickly and easily develop data pipelines and other data-driven solutions. This can help organizations to make informed decisions faster, as well as reduce the time it takes to process and analyze data.

The Software Talent Gap in Nordic Countries and EU-Based Talent

The software talent gap in Nordic countries and other EU-based countries is a significant challenge for organizations looking to hire top data engineers. This is due to a number of factors, including the lack of qualified candidates, the competition for top talent, and the high cost of hiring.

The lack of qualified candidates is a significant challenge for many organizations. Data engineering is a highly technical field and requires a specific set of skills and experience. It is often difficult to find candidates who have the necessary skills and experience, as there are few universities offering data engineering courses and even fewer data engineers graduating from these programs.

The competition for top talent is also a major challenge. As more and more organizations recognize the need for data engineers, the competition for top talent is becoming increasingly fierce. This is compounded by the fact that many of the top data engineers are in high demand, making it difficult to find and recruit them.

The cost of hiring a data engineer is also a significant challenge. Data engineers are in high demand, and as a result, their salaries are often high.

A survey by the Finnish Data Science Society found that the top three challenges for organizations in Finland when it comes to adopting in software development data engineers and analysts are the lack of qualified professionals (cited by 57% of respondents), the high cost of hiring data science talent (cited by 45% of respondents), and the lack of internal data science skills (cited by 36% of respondents). To address these challenges, the Finnish Data Science Society recommends that organizations in Finland invest in training and upskilling programs for their existing employees and consider using nearshoring or team extension data science services to access specialized talent on a flexible, project-based basis.

Strategies for Hiring and Retaining Top Data Engineers

To bridge the software talent gap in Nordic countries and other EU-based countries, organizations must develop strategies for hiring and retaining top data engineers. There are a number of strategies that can be used, including offering competitive salaries, providing flexible working arrangements, and leveraging data science nearshoring services.

Offering competitive salaries is one of the most effective strategies for hiring and retaining top data engineers. Data engineers are in high demand and their salaries reflect this. To attract and retain top talent, organizations must offer competitive salaries that are commensurate with the data engineer’s experience and skills.

Providing flexible working arrangements is also an effective strategy for hiring and retaining top data engineers. Many data engineers prefer to work remotely or have flexible working hours. By offering flexible working arrangements, organizations can attract and retain top talent.

Finally, software development companies should consider leveraging data engineer nearshoring services. Nearshoring allows organizations to access a global talent pool without the high cost of traditional outsourcing. This can be especially beneficial for organizations in Nordic countries and other EU-based countries, as they can access a larger pool of qualified candidates without the high cost of hiring local talent.

Supply of Data Engineers in Central and Eastern Europe

There are several countries in the Central and Eastern Europe (CEE) region that are likely to have a strong supply of data engineers in the coming years for your business. Some of the countries in the CEE region with a strong supply of data science talent, including data engineers, include: How much is a data engineer paid? According to data from the European Data Science Academy, the median base salary for data engineers in the EU is €70,000 per year. This is based on a survey of data science professionals in the EU, which found that the median base salary for data engineers was €70,000 per year.

Conclusion

The public sector is facing a significant talent gap in the data engineering space, making it difficult to find qualified professionals to fill key positions. Organizations must develop strategies for recruiting and retaining data engineers to bridge this talent gap. This includes using nearshoring and team extension data science services, experience with team extension of data engineer and finding and managing a data engineering team.

Organizations in Nordic countries and other EU-based countries must also develop strategies for hiring and retaining top data engineers. This includes offering competitive salaries, providing flexible working arrangements, and leveraging data science nearshoring services.

Can software engineering be outsourced? What are the solutions?

Allies.digital is a company based in Estonia that provides data science and engineering services to software development companies around the world. The company offers a range of services, including data engineering, data analytics, and machine learning, and it works with organizations in a variety of industries, including healthcare, finance, and retail.

One way in which Allies.digital could potentially help organizations in the EU bridge the talent gap in the data engineering field is by providing access to specialized talent on a flexible, project-based basis. This can be particularly useful for organizations that are facing challenges in finding qualified data engineering professionals, as it allows them to access the expertise they need without having to go through the time-consuming and costly process of recruiting and hiring full-time employees.

There are several ways in which Allies.digital could potentially be better than larger companies like Accenture, Capgemini, or Tata Consultancy Services in providing data engineering talent:

When you need to build a team, Allies is your solution. Allies provide organizations with access to top data engineers from around the world. We have a team of experienced data engineers who can help you build data pipelines and other data-driven solutions. In this way, nearshoring is a great way to access an abundant pool of qualified data engineers for your team. By partnering with the best data engineering service provider platform, with talents residing in countries such as Estonia, the Czech Republic, and Poland, you can tap into a wealth of experienced data analysis professionals at a fraction of the cost. This will enable you to better compete for talent with companies that are more popular destinations for full-time hires, such as San Francisco and NYC.

Wondering how Allies can help your business overcome the coder shortage?
Contact Priit Pavelson: priit@allies.digital or +372 555 83 271 (English & Finnish).