Data Engineers

Top Data Engineering Jobs in France

Crack the Code to Your French Data Engineering Dream Job!

Aayushi Jain

Over the last few decades, data engineers have gradually become important to any organization with the increasing demand for data-driven decision-making across the world. France, being a tech-savvy energetic hub with an economy having a stronghold on innovation, does not stay behind in this race. There are huge requirements for data engineers in Paris and even in Lyon. One has to manage and optimize data processes and pipelines, ensuring data quality, and supporting everything to make data-driven insights possible. This article looks at some of the top job opportunities for a career in data engineering in France.

Here you can find the best Data Engineering career paths and the top Data Engineering jobs in France.

1. Capgemini Data Engineer, Paris

Job Description

Capgemini is a global leader in consulting, technology services, and digital transformation. They are looking for Experienced Data Engineers to design and implement data pipelines, manage large-scale data infrastructures, and support Data Analysis efforts in our Capgemini Paris office. Experience in data warehousing solutions, cloud platforms, and the ETL process is a requirement.

Key Responsibilities

Design, develop, and maintain data pipelines and ETL processes. Develop cloud-based data solutions, especially on AWS and Azure. Collaborate with data scientists and analysts in support of data needs. Ensure data quality and integrity.

Qualification

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Exposure to working projects. Skilled in SQL, Python, and big data technologies, including Hadoop and Spark. Strong problem-solving skills and attention to detail.

Apply Here: Data Engineer at Capgemini 

2. Senior Data Engineer at Dataiku, Paris

Job Description

Dataiku, one of the leading companies in data science and machine learning platforms, is looking for a Senior Data Engineer to make several developments in its Paris office. You will work on data pipelines for analytics and machine learning from big and disparate sources. The successful candidate will have experience in data engineering as well as cloud platforms and big data technologies.

Key Responsibilities

Design and implement scalable data pipelines. Create self-owned processes for data transformation, physical integration, and preparation. Support data scientists in the operationalization of ML workflows. Maintain the data infrastructure and constantly improve it.

Qualification

A master's degree in Computer Science, Engineering, or a related field. A high level of expertise using SQL, Python, and other data engineering tools. Worked with at least one cloud platform, preferably either AWS or Google Cloud Platform. Has good communication and soft skills.

Apply here: Senior Data Engineer at Dataiku.

3. Dassault Systèmes Data Engineer, Lyon

Job Description

Dassault Systèmes is a world leader in 3D design and engineering software and is looking to recruit a Data Engineer in Lyon. The holder will develop data pipelines and maintain the data infrastructure that enables a diversity of engineering applications. An applicant must have experience in big data technologies and cloud computing.

Key Responsibilities

Develop and maintain data pipelines and ETL processes. Develop tools and platforms associated with big data. Make data integration and analysis available to all the engineering teams. Ensure data quality and dependability.

Qualification

Graduate of Computer Science or Engineering or any related field. Experienced in big data tools such as Spark, and Hadoop. Good in SQL and Python. Cloud Platform knowledge such as AWS or Azure.

Apply Here: Data Engineer Dassault Systèmes

4. Data Engineer at BNP Paribas, Paris

Job Description

International Leading Bank, Banque BNP Paribas is looking for a Data Engineer in Paris to support the business with data-fired financial services. This will involve the development of data pipelines, and the maintenance of data infrastructure, among others, in close collaboration with various teams who need to mine data for business insight.

Key Responsibilities

Creation of financial data pipelines. Infrastructure for optimizing data. Work with business units for data support. Data quality and integrity

Qualification

Bac+4 level of education in IT, Data Engineering, or any related certificate. Good knowledge of SQL, and Python with hands-on experience in data engineering tools. Good knowledge in processing financial data along with banking systems knowledge. Analytical, with problem-solving skills;

Apply Here: Data Engineer at BNP Paribas

5. Data Engineer at Orange, Paris

Job Description

Orange, the giant telecommunications operator, is on the latest quest for a Data Engineer to join its team in Paris. The successful candidate will build and maintain data solutions to support various Orange Data-Driven projects related to customer analytics.

Key Responsibilities

Great design, development, and maintenance of data pipelines and ETL processes. Develop support for data-driven business and analytics projects. Huge datasets and cloud-oriented. Ensure data integrity and uniformity.

Qualification

Bachelor's degree in Computer Science, Data Engineering, or any other related field. Relevant experience using data engineering tools and technologies. Proficiency in SQL, Python, and cloud platforms. Familiarity with working in a collaborative setting is preferred.

Apply Here: Data Engineer at Orange

6. Data Engineer at Thales, Toulouse

Job Description

Thales, the global aerospace activities and defense technology leader, now wants to recruit a Data Engineer based in Toulouse. He/she will develop the data pipelines and administrate the data infrastructures in the domain of security and aeronautics to serve the scientific projects developed for Thales. Candidates trained in data engineering and big data technologies are all encouraged to send in their applications.

Key Responsibilities

Design and build data pipelines for security and aerospace projects. Responsible for data infrastructure and support of data integration. Work closely with engineering teams to enhance the efficiency in the workflow of data. Comprehensive maintenance of the quality and security of data

Qualification

Degree in Computer Science, Engineering, or any relevant field. Hands-on experience in cloud and big data technologies. In-depth expertise in SQL and Python. Capability in problem-solving and taking care of details

Apply Here: Thales Data engineer.

7. Data Engineer Siemens, Lyon

Job Description

Siemens is one of the largest industrial automation and digitalization companies in the world. Siemens is hiring a Data Engineer based in Lyon, who will be responsible for developing and designing data solutions to support industrial and digital projects being conducted.

Key Responsibilities

Design and develop data pipelines and ETL processes. Industrialization and digitization projects will be supported with the required data solutions. Skills regarding the processing and analyzing of data on big data tools and cloud platforms. Ensure data quality is good across the board and help integrate the data where necessary.

Qualification

Either a bachelor's or master's degree in Computer Science or Engineering. Engineering experience in data tools and technologies. Strong hands-on experience in SQL, Python, and cloud platforms. Good analytical and communication skills.

Apply Here: Data Engineer Siemens

8. Data Engineer, Criteo, Paris

Job Description

Data Engineer wanted by Criteo, the global leader in ad tech. To support: Advertisement and Marketing Analytics. Key duties are in data solution development and care, for advertisement and marketing analytics to help and sustain Criteo. Your responsibilities:

Key Responsibilities

Design, develop, and maintain ETL processes and data pipes. Maintain the data infrastructure of our ad analytics. Work closely with Data Scientists and Analysts. Make sure data is accurate and consistent.

Qualification

Degree in Computer Science, Data Engineering, or equivalent. Relevant experience in SQL, Python, and Big Data technologies. Relevant experience regarding advertising and marketing data. Solid experience in problem-solving techniques and teamwork.

Apply Here: Data Engineer at Criteo 

9. Data Engineer at AXA, Paris

Job Description

AXA is an international insurance and asset management group, looking out for a Data Engineer in Paris. Use data to build solutions that turn out to be useful to the company's insurance and financial services provided away.

Key Responsibilities

Design and implement data pipelines for insurance data. Ensure quality and integrity of the data setup. Assist in data analysis and filtering along with managing the data infrastructures.

Collaborate with the business divisions in terms of the requirements from a data point of view.

Qualification

BS or MS in Computer Science, Data Engineering, or related field. Hands-on experience with SQL, Python, and data engineering platforms. Experience in Insurance and Financial data preferred. Strong analytical abilities and problem-solving skills

Apply Here: AXA for the role of Data Engineer.

10. Ubisoft Data Engineer, Montreuil

Job Description

Ubisoft is currently seeking a Data Engineer to participate in the design and realization of data solutions that will empower Ubisoft through gaming and user analytics at the Montreuil office.

Key Responsibilities

Design and development of data pipelines meant for gaming analytics. Offer support meant for data-driven projects and user insights. Working efficiently with big data tools and cloud platforms. Assuring data correctness and helping integrate it with ease.

Qualification

Computer Science and Engineering or any better. Experience with tools and technologies relevant to data engineering. Able to work soundly in SQL and Python with Big Data technologies. Great communication and problem-solving skills.

Apply Here: Ubisoft Data Engineer

Urgent Skills Required to Win the Best Data Engineering Posts in France

1. SQL Mastery

Proficiency in SQL is the real cornerstone in terms of querying and management of databases. Competence is required to develop complex queries, join databases, and optimize database techniques.

2. Programming Languages

The most valued skills in developing and integrating data pipelines are Python and Java, where the latter interfaces with most data sources. Python libraries like Pandas and NumPy are really helpful.

3. Big Data Technologies

With tools like Apache Spark, and Kafka, I know well the processing power concerned with big data and how to process real-time data.

4. Cloud Platforms

Knowledge of cloud services, like AWS, Google Cloud Platform, and Microsoft Azure, to help you use scalable data storage and processing solutions

5. Data Warehousing

You should be practically effective with data warehousing solutions in Snowflake, Amazon Redshift, or Google's BigQuery in structuring and querying big volumes of data.

6. ETL processes

High proficiency in ETL processes and tools is very key in the implementation, integration and automation of Data Pipelines.

7. Data Modeling

The art of data modeling and schema designing facilitates the organization and optimization of data in a manner that is most effective for access and analysis.

Level Up Your Skills

Level up these skills to have a fulfilling and complete career track in this emergent career landscape of data engineering.

1. Research the Firms

There is a link to the company career page on every job posting. I will outline some of their cultural projects and possibly some of the other jobs they have going. This will help you in preparing your resume so that it heads towards the relevant experiences that show your competencies in teamwork and how that marries up with the job requirements.

2. Networking

You can touch base with people who are currently working, or people who have worked, in the same company through LinkedIn to understand more about the company and role.

3. Stay Updated

Keep an eye on the boards for new listings and other company websites for any updates in the field of Data Engineering.

Conclusion

There is a high demand for data engineers in France. Opportunities exist for them in almost all industries, technology, finance, gaming, and telecommunications. Working in these will keep one at the forefront of relevance being created through leading technology today. Whether it is in the position of a global technology leader like Capgemini or any other position.

France has good scopes for highly skilled data engineers in diversified fields from technology to finance, a bit of gaming, and telecommunications. All those positions allow for working with innovative technologies and sharing great projects. Whether it's a leading position with some global tech leader like Capgemini or an innovative perspective with one of the leading companies such as Ubisoft. There are many opportunities to align with aspiration.

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