Ingenico is the global leader in payments acceptance solutions. As the trusted technology partner for merchants, banks, acquirers, ISVs, payment aggregators and fintech customers our world-class terminals, solutions and services enable the global ecosystem of payments acceptance. With 40 years of experience, innovation is integral to Ingenico’s approach and culture, inspiring our large and diverse community of experts who anticipate and help shape the evolution of commerce worldwide. At Ingenico, trust and sustainability are at the heart of everything we do.

At Ingenico, we operate at the heart of commerce transformation, whether by providing physical terminals or software to enhance the experience for both merchants and customers. Our primary goal is to evolve Ingenico from a simple hardware provider to an all-in-one provider of software and services. Our offering, available everywhere through a dedicated cloud platform, is continually expanding and adapting to the evolving landscape of payment and commerce practices.

Mission

Reporting to the Engineering Manager, you will join a feature team focused on the design and development of the Data Platform component of the Ingenico Cloud Platform. You will be responsible for building, optimizing, and maintaining data pipelines and infrastructure to support scalable data processing and storage. This includes designing data architectures, ensuring efficient data flow, and enabling easy access to data for analytics and machine learning applications. You will work closely with other engineers, data scientists, and product teams to ensure data quality, security, and integration with cloud technologies, facilitating a reliable and flexible data ecosystem that supports the platform’s growth and functionality.

Responsibilities

• Define and analyze data structures,
• Design, build, and manage ETL (Extract, Transform, Load) pipelines that ingest raw data from various sources, transform it, and load it into data warehouses or lakes.
• Design and manage storage solutions, such as data warehouses (Amazon Redshift), data lakes (AWS S3 with Databricks), or NoSQL databases.
• Work closely with data scientists, analysts, and business teams to understand data needs, gather requirements.
• Ensure production reliability (monitoring, alerting, and intervene as needed),
• Experiment with emerging data technologies and best practices to enhance data infrastructure and workflow efficiency.

Profile

You hold a Master's degree (BAC+5) and you have at least 4 years of experience as a Data Engineer.

Important skills :

• Advanced expertise in Python is essential, with strong skills in Java (Spring Boot), and familiarity with Scala being a plus.
• Proficiency in ETL processes and data pipelines
• Hands-on experience in building, managing, and optimizing data workflows on Databricks, including the use of Spark for large-scale data processing.
• Expertise in storage solutions (object storage / relational databases / NoSQL),
• At least one professional experience with the AWS public cloud,
• Experience working in an agile environment and commitment to agile principles.

Other meaningful skills :

• Upper-Intermediate English level and ability to communicate effectively.

• Strong adaptability and flexibility
• Keen to work in an Agile/SAFE environment.
• Strong team spirit, supportive of others’ contributions

As part of our values, we embrace diversity and inclusion at Ingenico. We are an equal opportunity employer and do not discriminate on the basis of an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status or any other protected characteristic under applicable law, whether actual or perceived. Ingenico welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. We want to adapt our processes and create a safe work environment that welcomes everyone. To learn more about what it's like working inside Ingenico, follow us on LinkedIn