Data Engineer Salary in France during 2023

Salary details

The average Data Engineer salary lies between USD 57,223 and USD 90,000 in France. 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. 10, 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 for Data Engineers in France

The salary for a Data Engineer in France typically consists of a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most significant component, often accounting for 70-85% of the total compensation package. Performance bonuses can vary widely, ranging from 5-20% of the base salary, depending on the company's performance and individual contributions. Additional remuneration might include stock options, especially in tech startups or larger tech companies, and benefits such as health insurance, retirement plans, and transportation allowances. The composition can vary significantly based on the region, with Paris generally offering higher salaries due to the cost of living, and the industry, with tech and finance sectors typically offering more competitive packages. Company size also plays a role, as larger companies may offer more comprehensive benefits and bonuses.

Steps to Increase Salary

To increase your salary as a Data Engineer, consider the following strategies:

• Skill Enhancement: Continuously update your technical skills, especially in emerging technologies like cloud computing, big data frameworks, and machine learning.
• Advanced Education: Pursue advanced degrees or specialized certifications that can set you apart from your peers.
• Networking: Build a strong professional network to learn about new opportunities and industry trends.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions and salary increases.
• Industry Transition: Consider moving to industries that offer higher compensation, such as finance or tech.
• Negotiation Skills: Develop strong negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most Data Engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. A master's degree can be advantageous and is often preferred by employers, especially for senior roles. Relevant coursework in data structures, algorithms, database management, and statistics is crucial. Some positions may also require knowledge of specific programming languages like Python, Java, or Scala, and familiarity with data processing frameworks like Hadoop or Spark.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications for Data Engineers include:

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

These certifications validate your skills in data engineering and can make you a more competitive candidate.

Experience Requirements

Typically, entry-level Data Engineer positions require 1-3 years of experience in a related field, such as software development or database management. For mid-level roles, 3-5 years of experience is common, while senior positions may require 5-10 years of experience. Experience with data modeling, ETL processes, and data warehousing is often essential. Practical experience with cloud platforms and big data technologies is increasingly important as companies move towards cloud-based solutions.

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