Data Engineer PySpark - Data Factory - Services Financiers - Ile de France

About the Position

Data Engineer PySpark - Data Factory - Services Financiers - Ile de France

Paris, IDF, France

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About the Company

Sopra Steria, a major player in Tech in Europe, with 51,000 employees in nearly 30 countries, is recognized for its consulting, digital services, and solutions. It helps its clients to lead their digital transformation and achieve concrete and sustainable benefits. The Group provides a global response to the competitiveness issues of large companies and organizations, combining in-depth knowledge of industry sectors and technologies with a collaborative approach. Sopra Steria places the human at the heart of its action and commits to its clients to make the best use of digital to build a positive future. In 2024, the Group achieved a turnover of 5.8 billion euros.

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About the Role

Join our Data Factory located in Paris! You will meet experts in the implementation of Data Platforms, Data Architects, and other solution experts around data valorization issues.

You will be supported in the development of your knowledge through various Data paths, whether for data ingestion, datahub construction, data transformation and valorization, data modeling, and availability.

Joining our Sopra Steria Data Factory means joining a community of Data Engineers proud to share their knowledge and open to new experiences and data experimentations.

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Responsibilities

• Understanding business needs and translating them into data engineering solutions
• Implementing data ingestion solutions, whether in batch or streaming in a Cloud context
• Structuring the DataLake, setting up data governance and data security processes
• Processing data until its exposure to the business
• Setting up the CI/CD chain and its supervision
• Keeping an eye on technology with our publisher partners and implementing Prototype Design, Proof of Concept, or MVP with the objective of ideation for our clients

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Requirements

• Proficiency in a programming language applied to data analysis (SQL, Scala, R, Python, Java)
• Distributed data processing (Spark, Pyspark, Hadoop)
• Data streaming framework (Kafka, RabbitMQ, etc.)
• Strong analytical skills, curiosity, passion, and a sense of teamwork in an Agile organization like Scrum or SAFE
• Importance placed on the development of skills in multiple technologies
• Desire for real career growth through project experience
• Commitment to delivering value to clients
• Willingness to share knowledge with less experienced colleagues

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Qualifications

• Graduated from an Engineering School or equivalent, with prior participation in a Data project (Big Data, BI) and a minimum of 3 years of experience

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We Offer

• Inclusive and committed employer, our company works every day to fight against all forms of discrimination and promote a respectful work environment. That's why, attached to diversity and mixity, we encourage all applications and profiles.

Learn more about our commitments

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