Salary for Mid-level / Intermediate Data Engineer in Spain during 2023

Salary details

The average mid-level / intermediate Data Engineer salary lies between USD 66,940 and USD 80,976 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: Oct. 28, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Data Engineer job listings are Python, SQL and Engineering. 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 | 1005 jobs SQL | 983 jobs Engineering | 967 jobs Pipelines | 885 jobs AWS | 673 jobs Data pipelines | 673 jobs ETL | 638 jobs Computer Science | 565 jobs Architecture | 527 jobs Spark | 520 jobs Azure | 508 jobs Agile | 449 jobs Machine Learning | 385 jobs GCP | 363 jobs Big Data | 359 jobs Security | 339 jobs Data quality | 329 jobs Airflow | 324 jobs Data warehouse | 311 jobs Java | 311 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 779 jobs Health care | 462 jobs Flex hours | 416 jobs Startup environment | 374 jobs Team events | 302 jobs Competitive pay | 274 jobs Flex vacation | 260 jobs Parental leave | 217 jobs Equity / stock options | 166 jobs Salary bonus | 161 jobs Insurance | 153 jobs Medical leave | 109 jobs Wellness | 93 jobs 401(k) matching | 92 jobs Home office stipend | 79 jobs Gear | 78 jobs Conferences | 52 jobs Unlimited paid time off | 51 jobs Fitness / gym | 50 jobs Yoga | 32 jobs

Salary Composition

In Spain, the salary composition for a mid-level Data Engineer can vary based on several factors such as region, industry, and company size. Typically, the salary is divided into a fixed base salary, which constitutes the majority of the compensation package. This base salary is often complemented by a performance-based bonus, which can range from 5% to 15% of the annual salary, depending on the company's policies and the individual's performance. Additionally, some companies offer stock options or equity, especially in tech startups or larger tech firms, as part of the remuneration package. Benefits such as health insurance, retirement contributions, and other perks like flexible working hours or remote work options can also be part of the overall compensation.

Steps to Increase Salary

To increase your salary from a mid-level Data Engineer position, consider the following strategies:

• 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 advanced programming languages (Python, Scala).

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

• Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.

• Networking: Engage with professional networks and communities to learn about new opportunities and trends in the industry.

• Performance and Negotiation: Consistently perform well in your current role and be prepared to negotiate your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

For a mid-level Data Engineer position, most employers require at least a bachelor's degree in computer science, information technology, engineering, or a related field. Some positions may prefer candidates with a master's degree, especially if the role involves more complex data science or machine learning tasks. A strong foundation in mathematics and statistics is also beneficial, as it underpins many data engineering tasks.

Helpful Certifications

Several certifications can enhance your profile as a Data Engineer:

• Google Professional Data Engineer: Validates your ability to design, build, and operationalize data processing systems on Google Cloud Platform.

• AWS Certified Data Analytics – Specialty: Demonstrates expertise in using AWS data lakes and analytics services.

• Microsoft Certified: Azure Data Engineer Associate: Focuses on designing and implementing data management, monitoring, security, and privacy using the full stack of Azure data services.

• Cloudera Certified Professional (CCP) Data Engineer: Recognizes proficiency in data engineering skills using Cloudera's platform.

Experience Requirements

Typically, a mid-level Data Engineer is expected to have 3 to 5 years of experience in data engineering or a related field. This experience should include hands-on work with data pipelines, ETL processes, data warehousing solutions, and familiarity with big data technologies. Experience with cloud platforms and programming languages like Python, Java, or Scala is often required.

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