Agency Partners
I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.
In the past 12 weeks, the Data Engineer job market in Uppsala, Sweden has shown fluctuating activity. A total of 19 new Data Developer roles were posted, with notable spikes in weeks 20 (8 jobs) and 15 (4 jobs), reflecting a strong yet irregular demand. However, the number of closed positions reached 22, highlighting a significant gap between openings and closures. This trend indicates a competitive environment for hiring, where recruitment strategies must be adept in attracting qualified candidates. When compared to other European countries, Uppsala's Data Engineering sector reveals a dynamic but challenging landscape, suggesting that CTOs and hiring managers should refine their recruitment approaches to enhance success in securing top talent.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 10 |
|
Sopra Steria | France | Information Technology & Services | 1968 | 10 |
|
HiQ | Sweden | Information Technology & Services | 1995 | 7 |
|
Sogeti | France | Information Technology & Services | 1967 | 7 |
|
Nexer Group | Sweden | Information Technology & Services | 2021 | 7 |
|
Parallel Consulting | United Kingdom | Staffing & Recruiting | 2004 | 6 |
|
Knowit | Sweden | Information Technology & Services | 1990 | 6 |
|
Neo4j | United States | Information Technology & Services | 2007 | 6 |
|
|
Amazon Web Services (AWS) | null | null | null | 5 |
|
|
Capgemini | France | Management Consulting | 1967 | 5 |
In Sweden, particularly in Uppsala, the job market for Data Engineers exhibits a challenging landscape for hiring managers. With a notable number of job openings and a comparatively limited talent pool, the ratio of available talent to job openings indicates a tightening market. For context, countries like Germany, the Netherlands, and France are experiencing similar trends, but with varying degrees of ease in talent acquisition. The job openings in these regions contrast sharply with the available talent, making it essential for CTOs and recruiters to implement strategic hiring practices. As the future demand for Data Engineers continues to rise in Sweden Uppsala, professionals poised to navigate these complexities will be better positioned to secure top talent.
In the Data Engineers job market in Sweden Uppsala, the seniority distribution reflects a robust demand for skilled professionals. Mid-Senior level positions account for 57% of the job openings, while Entry level roles comprise 34%. Additionally, Associate positions make up 3% of the available roles. Understanding these trends is crucial for CTOs and hiring managers as they strategize their recruitment efforts in this evolving tech landscape.
In Sweden's data engineer job market, full-time positions dominate, comprising 95% of the employment types available. Contract roles account for 5%, while part-time positions make up approximately 3%. This distribution highlights the preference for stable, long-term employment opportunities in the tech sector, which is crucial for hiring managers aiming to attract top talent.
The time to hire distribution for Data jobs in Sweden indicates a significant hiring lead time, with the majority of positions filled within a 30 to 50-day window. Notably, 530 roles were filled within 30 days, followed by 495 within 25 days, which emphasizes a concentrated demand for prompt recruitment. However, as hiring timelines extend beyond 50 days, the number of filled positions decreases, illustrating a potential challenge for hiring managers in securing talent. This data suggests that CTOs and engineering managers should implement recruitment strategies that prioritize efficiency to meet the emerging trends in the competitive Data Engineer job market in Sweden Uppsala.
The Data Data Science job market in Estonia has shown significant activity in recent months, with fluctuations in job openings that reached a peak of 9 positions in week 20, followed by a decline to just 1 opening in week 23. This trend indicates a tightening labor market, suggesting that hiring managers may find it increasingly competitive to secure top talent.
View ReportThe Data Engineer job market in Uppsala, Sweden, has shown dynamic activity over the past three months, with 19 new roles posted while 22 positions were closed, indicating a competitive environment.
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The Data Engineers job market trends in Portugal, particularly in Lisbon, exhibit a competitive landscape with 1,161 job openings predominately in the capital, representing 89% of opportunities across the country.
View ReportThe Data Engineer job market in Sweden Uppsala reveals a significant concentration of opportunities in urban areas, with Stockholm leading by a substantial margin, representing 54% of the total job openings. Gothenburg follows with 29%, while Malmo accounts for a smaller share at 8%. This data highlights the importance of the capital city, Stockholm, as a central hub for Data Engineer roles in the region, as illustrated in the accompanying chart.
In the Data Engineer job market in Sweden Uppsala, certain technologies dominate the landscape. The most frequently used technology is Python, with a remarkable frequency of 10,406, highlighting its pivotal role in data processing and analytics. Following closely are SQL and ETL, with frequencies of 9,311 and 3,655 respectively, underscoring their importance in data management and transformation processes. Additionally, Machine Learning, with a frequency of 3,463, is increasingly integrated into Data Engineer roles, reflecting the growing trend towards AI-driven solutions. For a detailed breakdown of technology usage, please refer to the accompanying chart.
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