Engineer Salary in Spain during 2024
💰 The median Engineer Salary in Spain during 2024 is USD 66,666
✏️ This salary info is based on 8 individual salaries reported during 2024
Salary details
The average Engineer salary lies between USD 35,555 and USD 74,444 in Spain. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- Engineer
- Experience
- all levels
- Region
- Spain
- Salary year
- 2024
- Sample size
- 8
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Engineer roles
The three most common job tag items assiciated with Engineer job listings are Engineering, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
Engineering | 47955 jobs Python | 46808 jobs Machine Learning | 34096 jobs Computer Science | 30469 jobs SQL | 26382 jobs Pipelines | 25293 jobs Architecture | 24160 jobs AWS | 23449 jobs Security | 18980 jobs Testing | 17674 jobs Azure | 16641 jobs Java | 15838 jobs Research | 15511 jobs Agile | 15391 jobs Data pipelines | 14800 jobs Spark | 14524 jobs ETL | 14242 jobs GCP | 13027 jobs Big Data | 12916 jobs APIs | 11989 jobsTop 20 Job Perks/Benefits for Engineer roles
The three most common job benefits and perks assiciated with Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:
Career development | 43167 jobs Health care | 22983 jobs Equity / stock options | 17267 jobs Flex hours | 15851 jobs Startup environment | 13796 jobs Competitive pay | 13040 jobs Team events | 10964 jobs Flex vacation | 10907 jobs Salary bonus | 10572 jobs Insurance | 10199 jobs Medical leave | 9952 jobs Parental leave | 9367 jobs 401(k) matching | 5840 jobs Wellness | 5663 jobs Conferences | 3111 jobs Relocation support | 3094 jobs Home office stipend | 2589 jobs Transparency | 2315 jobs Fitness / gym | 2086 jobs Flexible spending account | 2058 jobsSalary Composition
In Spain, the salary composition for AI/ML/Data Science roles can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits.
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Fixed Base Salary: This is the guaranteed portion of your salary and usually constitutes the majority of your total compensation. In larger cities like Madrid or Barcelona, the base salary might be higher due to the increased cost of living.
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Bonuses: These are often performance-based and can vary widely. In tech companies or startups, bonuses might be tied to project success or company performance. In more traditional industries, bonuses might be more structured and predictable.
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Additional Remuneration: This can include stock options, especially in startups or tech companies, as well as benefits like health insurance, retirement plans, and other perks. Larger companies might offer more comprehensive benefits packages.
Increasing Your Salary
To increase your salary from this position, consider the following strategies:
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Skill Enhancement: Continuously update and expand your skill set. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.
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Advanced Education: Pursuing further education, such as a master's degree or Ph.D., can open up higher-paying opportunities and leadership roles.
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Networking: Build a strong professional network. Attend industry conferences, join relevant online communities, and connect with peers and leaders in the field.
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Performance and Negotiation: Consistently perform well and be prepared to negotiate your salary during performance reviews or when taking on new responsibilities.
Educational Requirements
Most AI/ML/Data Science positions require at least a bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering. However, many employers prefer candidates with a master's degree or Ph.D., especially for more advanced roles. A strong foundation in mathematics, statistics, and programming is essential.
Helpful Certifications
While not always required, certain certifications can enhance your resume and demonstrate your expertise:
- Certified Data Scientist (CDS)
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
These certifications can validate your skills and knowledge in specific tools and platforms, making you more attractive to potential employers.
Required Experience
Typically, employers look for candidates with at least 2-5 years of experience in data science or a related field. Experience with machine learning algorithms, data analysis, and programming languages like Python or R is often required. For more senior roles, 5-10 years of experience might be necessary, along with a proven track record of successful projects.
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