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.
The Data Engineer job market in Sweden has exhibited notable fluctuations over the past 12 weeks. An analysis of newly posted Data Developer positions reveals an upward trend, peaking at 122 new openings in week 27. In contrast, job closures reached a maximum of 159 in week 20, resulting in a net decline in available roles during that period. When comparing these trends to other sectors, it's evident that while Data Engineer opportunities are abundant, they face a higher turnover rate than many other tech roles in Sweden. Over the same timeframe, the overall demand for Data Engineers across Europe remains strong, indicating a promising future for recruitment strategies tailored for this talent pool.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Försäkringskassan | Sweden | Government Administration | null | 16 |
|
Sopra Steria | France | Information Technology & Services | 1968 | 12 |
|
Hitachi Energy | Switzerland | Utilities | 2020 | 10 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 9 |
|
Nexer Group | Sweden | Information Technology & Services | 2021 | 9 |
|
Saab | Sweden | Defense & Space | 1937 | 9 |
|
Sogeti | France | Information Technology & Services | 1967 | 8 |
|
|
Capgemini | France | Management Consulting | 1967 | 8 |
|
Knowit | Sweden | Information Technology & Services | 1990 | 7 |
|
Neo4j | United States | Information Technology & Services | 2007 | 7 |
The Data Engineers job market trends in Sweden reveal a competitive landscape, with job openings outpacing the available talent pool. In Sweden, there are a significant number of openings, while the talent pool remains relatively constrained, resulting in a challenging hiring environment for CTOs and engineering managers. By comparison, countries like Germany and the Netherlands exhibit a more favorable ratio of openings to talent, suggesting easier recruitment conditions. Meanwhile, France showcases a similar challenge to Sweden, indicating that hiring Senior Data Developers in both countries may require more strategic recruitment efforts. Consequently, Data Developer opportunities in Sweden, while plentiful, come with heightened competition, necessitating robust recruitment strategies to attract skilled professionals.
In the Swedish job market for Data Engineers, the seniority distribution reveals significant insights for hiring managers. The majority of positions are held at the Mid-Senior level, comprising 57% of the total roles. Following this, Entry level positions account for 24%, while Associate roles represent 6%. Understanding these trends in hiring Senior Data Developers in Sweden is crucial for developing targeted recruitment strategies.
In the competitive landscape of the Data Engineers job market trends in Sweden, full-time positions dominate, accounting for 95% of job opportunities. Contract roles represent a smaller segment, making up 5% of the total, while part-time positions contribute only 3%. This distribution highlights the prevalence of full-time employment as a preferred option for data-related roles in Sweden's technology sector.
The time to hire for Data roles in Sweden reveals critical trends that hiring managers must consider. A majority of candidates, accounting for 51.3%, are secured within the 30-day timeframe, indicating a competitive and fluid Data job market. Notably, the prevalence of hires between 25 to 35 days highlights the need for recruitment strategies that can efficiently attract top talent quickly. As hiring extends to 70 days or more, with decreasing counts, this suggests a diminishing pool of candidates available for Data roles. Understanding these hiring dynamics is essential for CTOs and engineering managers to effectively strategize in Sweden's tech sector.
The Data Data Science job market in Estonia has experienced notable fluctuations over the past three months, with a peak of 9 new job openings in week 20, but only 1 new opening in week 23 and weeks 26 and 27, highlighting challenges in retaining talent in this competitive sector.
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The Data Engineers job market in Sweden, particularly in Solna, has shown fluctuating trends, with 10 new job openings reported in week 19, followed by significant declines, indicating a net decline in available positions.
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The job market for Data Engineers in Portugal is currently experiencing a robust demand, with a notable increase in openings, peaking at 31 new roles posted in week 27, indicating significant opportunities for Data Data Engineer candidates.
View ReportIn Sweden, the distribution of Data Engineer job openings is heavily concentrated in major urban areas, with Stockholm leading the pack at 57% of the total job listings. Gothenburg follows with a significant 30%, while Malmo accounts for 8% of the opportunities. This data underscores the capital's dominance in the Data job market in Sweden, as illustrated in the accompanying chart.
In the current landscape of the Data job market in Sweden, several technologies have emerged as pivotal for professionals in the field. Predominantly, Python leads with a frequency of 9,679, underscoring its crucial role in Data Engineering and analytics. Following closely are SQL, frequently used for database management, with a frequency of 8,827, and ETL processes, which are vital for data integration, cited 3,484 times. Machine Learning also plays a significant part, with 3,303 mentions, indicating a growing interest in advanced analytics. Complementing these, technologies such as AWS with 2,206 and Azure at 2,123 highlight the increasing reliance on cloud platforms for data solutions. Refer to the attached chart for a detailed breakdown of technology usage among Data roles.
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