Data Engineer Salary in Spain during 2023

Salary details

The average Data Engineer salary lies between USD 64,311 and USD 80,000 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.

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: Nov. 17, 2024

Top 20 Job Tags for Data Engineer roles

The three most common job tag items assiciated with Data Engineer job listings are Python, Engineering and SQL. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Python | 5352 jobs Engineering | 5125 jobs SQL | 5036 jobs Pipelines | 4382 jobs AWS | 3582 jobs Spark | 3309 jobs ETL | 3273 jobs Architecture | 3229 jobs Data pipelines | 3202 jobs Computer Science | 2748 jobs Big Data | 2603 jobs Agile | 2547 jobs Azure | 2406 jobs Java | 2258 jobs Machine Learning | 2077 jobs GCP | 1967 jobs Airflow | 1937 jobs Security | 1845 jobs Scala | 1799 jobs Kafka | 1784 jobs

Top 20 Job Perks/Benefits for Data Engineer roles

The three most common job benefits and perks assiciated with Data Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 4076 jobs Health care | 2146 jobs Flex hours | 2037 jobs Startup environment | 1894 jobs Team events | 1476 jobs Flex vacation | 1326 jobs Competitive pay | 1293 jobs Equity / stock options | 1110 jobs Parental leave | 1062 jobs Salary bonus | 1046 jobs Insurance | 997 jobs Medical leave | 711 jobs Wellness | 645 jobs 401(k) matching | 508 jobs Home office stipend | 375 jobs Fitness / gym | 286 jobs Gear | 275 jobs Unlimited paid time off | 265 jobs Conferences | 199 jobs Relocation support | 148 jobs

Salary Composition

In Spain, the salary composition for a Data Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is composed of a fixed base amount, which forms the bulk of the compensation package. This base salary is often complemented by a performance-based bonus, which can range from 5% to 20% of the annual salary, depending on the company's policies and the individual's performance. Additional remuneration may include stock options, especially in tech startups or larger tech companies, and other benefits such as health insurance, retirement contributions, and professional development allowances. In larger cities like Madrid or Barcelona, salaries might be higher due to the increased cost of living and the concentration of tech companies.

Increasing Salary

To increase your salary from a Data Engineer position, consider the following steps:

• Skill Enhancement: Continuously update your technical skills, especially in emerging technologies and tools relevant to data engineering, such as cloud platforms (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data warehousing solutions (Snowflake, Redshift).

• Advanced Education: Pursuing a master's degree or specialized courses in data science, machine learning, or related fields can make you more competitive.

• Networking: Engage with professional networks and communities, attend industry conferences, and participate in workshops to increase your visibility and learn about new opportunities.

• Certifications: Obtain relevant certifications that can validate your skills and make you stand out to employers.

• Leadership Roles: Aim for leadership or managerial roles within your team or organization, which typically come with higher compensation.

Educational Requirements

Most Data Engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. Some employers may prefer candidates with a master's degree, especially for more senior roles. A strong foundation in mathematics and statistics is also beneficial, as it aids in understanding complex data structures and algorithms.

Helpful Certifications

Certifications can significantly enhance your profile as a Data Engineer. Some of the most recognized certifications include:

• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer
• Microsoft Certified: Azure Data Engineer Associate
• Cloudera Certified Professional (CCP) Data Engineer

These certifications demonstrate your expertise in specific platforms and tools, making you more attractive to potential employers.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data engineering or related fields. Experience with data modeling, ETL processes, and working with large datasets is often required. Familiarity with programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases are also common prerequisites.

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