Agency Partners
This report was last updated on Aug 17, 2025
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.
Over the past 12 weeks, the Data Engineer job market in Norway has exhibited notable fluctuations. In week 26, we observed the highest number of new jobs posted, reaching 49 openings, contrasted sharply with a significant downturn in week 23, where only 3 jobs were listed. A concerning trend is the high rate of closures; for instance, week 22 alone saw 44 positions closed, indicative of a competitive recruitment landscape. Compared to other tech roles in Norway, the Data Engineer positions face particular volatility, suggesting that while opportunities exist, recruitment strategies for CTOs and hiring managers must adapt rapidly to engage potential candidates. This trend aligns with emerging patterns across Europe's technology landscape, where Data Engineer roles remain in high demand, presenting both challenges and opportunities for hiring efforts.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
TELUS Digital | Canada | Information Technology & Services | 2005 | 17 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 9 |
|
Knowit | Sweden | Information Technology & Services | 1990 | 6 |
|
TELUS Digital AI Data Solutions | null | null | null | 6 |
|
|
Kongsberg Defence & Aerospace | null | null | null | 5 |
|
|
Capgemini | France | Management Consulting | 1967 | 5 |
|
Sopra Steria | France | Information Technology & Services | 1968 | 5 |
|
|
DataAnnotation | United States | Information Technology & Services | null | 5 |
|
Bouvet ASA | Norway | Information Technology & Services | 2002 | 4 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 4 |
In the competitive landscape of the European job market, Norway presents unique challenges for hiring Data Engineers. With a relatively high number of job openings compared to its talent pool, the ratio reveals that it may be more difficult to secure top talent. For instance, while countries like Germany and France feature larger talent pools relative to their job vacancies, Norway's ratio suggests a tighter market. Additionally, countries such as the Netherlands show a more favorable environment for recruitment, indicating potential challenges for CTOs and Engineering Managers in sourcing qualified Data Engineers in Norway. As the future demand for Data Engineers continues to grow, understanding these dynamics will be crucial for effective recruitment strategies.
In the Norwegian job market for Data Engineers, the seniority distribution reveals a competitive landscape. Approximately 43% of positions are classified as Mid-Senior level, while Entry-level roles comprise about 40% of the available jobs. Associate-level positions represent a smaller segment, accounting for roughly 4% of the market. This data underscores the recruitment strategies for CTOs in Norway’s tech sector, emphasizing the need to cater to both entry-level talent and mid-senior professionals.
In Norway's engineering job market, the predominant employment type remains full-time positions, accounting for 93% of available roles. Contract positions represent 7% of the market, while part-time roles comprise 6%. These statistics indicate a strong preference for full-time employment, which is crucial for hiring managers to consider when strategizing recruitments.
The time to hire distribution for Data jobs in Norway reveals a significant trend that hiring managers should note. Notably, the longest segment, from 25 to 30 days, accounts for a substantial 271 counts, indicating it is the most common timeframe for securing Data Engineer candidates. This is followed by 125 counts for the 20 to 25-day range and 54 counts at 15 to 20 days, suggesting a trend towards longer hiring processes. Understanding these timeframes is crucial for CTOs and Engineering Managers as they strategize their recruitment efforts in Norway’s competitive tech sector, particularly for Senior Data Developers and Data Programmers.
The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.
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The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.
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The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.
View ReportThe location distribution for Data Engineer job openings in Norway reveals a concentrated market, with Oslo leading significantly at 85% of the total job openings. Stavanger and Bergen follow with 10% and 9% respectively, indicating that most opportunities are situated in the capital. This data can be visually examined in the attached chart, providing valuable insights for hiring managers and recruiters aiming to understand the regional landscape.
In exploring the data job market in Norway, several technologies consistently emerge as crucial for Data Engineers and related roles. Python, with a notable frequency of 8,339, stands out as the most widely used programming language, reflecting its popularity due to versatility and ease of use. SQL follows closely with a frequency of 7,824, underscoring its importance in database management and query handling. Other significant technologies include Data Engineering at 3,748 and ETL (Extract, Transform, Load) at 3,112, which are essential for data integration and processing pipelines. Additionally, Machine Learning, with a frequency of 3,002, highlights the growing relevance of data-driven decision-making. This data is further illustrated in the accompanying chart, providing a visual representation of technology usage trends.
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