About PayXpert

PayXpert is the payments solution built to provide the best experience to any business and in every customer journey.

PayXpert is one of the most prominent Fintech companies in the payments sector. The firm offers innovative payment processing solutions, and currently services 650+ clients, including global brands.

With a wide range of payment processing services focusing on revenue optimization, BI and anti-fraud; as well as alternative payments such as WeChat and Alipay, PayXpert leads the way in payment innovation!

We are invested not only in our clients, but in our employees as well! We believe in equal employment opportunity, a culture built around gender-balanced development opportunities of our professionals, a flexible and healthy working environment, and general equality in the workplace.

PayXpert is part of the Societe Generale Group.

As a Data Engineer in PayXpert you will...

Develop and maintain scalable data systems that enable real-time information for reporting, analytics, and actionable insights. This role focuses on building secure and efficient data infrastructure capable of managing high transaction volumes while collaborating with cross-functional teams to foster efficiency and elevate professionalism within the team.

Essential Duties & Responsibilities:

• Data Infrastructure Development: Design, develop, and maintain robust data pipelines and ETL processes to handle large-scale structured and unstructured data.
• Data Quality Assurance: Implement validation and monitoring mechanisms to uphold data integrity, accuracy, and reliability.
• Performance Optimization: Analyse system performance, resolve bottlenecks, and address scaling challenges within the data infrastructure.
• Integration and Deployment: Collaborate with cross-functional teams to deploy automation models efficiently and seamlessly into production environments.
• Technology Evaluation: Stay up-to-date with emerging technologies and best practices, recommending and implementing tools and methodologies to enhance our processes.
• Guidance Role: Serve as a point of support within the team to assist data analysts in developing their skills through collaboration on assigned projects.
• Collaboration: Partner closely with back office teams to understand data requirements and deliver tailored technical solutions.
• Documentation and Standards: Develop and maintain comprehensive documentation for data pipelines, systems architecture, and processes, ensuring compliance with industry standards.

We offer

• Remote Model
• Team buildings & Workshops
• Permanent Contract
• Challenging projects: With us, you will have the chance to participate in a variety of technical projects amongst passionate and skilled colleagues
• Free languages courses: learn Spanish, French or improve your English skills at your disposal
• Learning Solutions According to your needs
• Events: we do believe in the importance of meeting our colleagues in an informal and natural environment to build connections between UK & France & Spain. Please take part on our awesome engagement events…
• Referral Bonus
• Health Insurance Perk
• 38h working hours per week

Preferred candidate profile

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Job Experience

• Proven experience in data engineering, with expertise in building and managing data pipelines and infrastructure.
• Proficiency in Python for data processing and analysis.
• Strong knowledge of relational databases (SQL Server, MySQL, PostgreSQL).
• Solid understanding of data modelling, schema design, and data warehousing concepts.
• Prior experience using Git and Bash.
• Experience with Apache Airflow, Talend, and CI/CD tools.
• API management is highly valued.
• Experience working with Azure, Talend and NoSQL databases is a plus.

Professional Knowledge:

• Exceptional analytical and troubleshooting skills.
• Attention to detail with precise and effective communication
• Focus and intuition for understanding the needs of the business
• Fluency in both English and Spanish.

Do you want to join and be at the forefront of innovative Fintech Technologies Immerse yourself in a multicultural and dynamic environment?

We believe in equal employment opportunity, a culture built around gender-balanced development opportunities for our professionals, a flexible and healthy working environment, and general equality in the workplace.

The personal data collected is intended for PAYXPERT and used to process your application with a view to possibly offering you an employment contract. It is intended for use by the departments responsible for recruitment. This information will be kept for a maximum of 2 years if your application is not successful. In accordance with Regulation (EU) 2016/679 of 27 April 2016 on the protection of personal data, you have the right to access, rectify, delete, portability and limit the Processing of Data concerning you. You may also, for legitimate reasons, object to the Processing of your Data. You may exercise your rights by contacting our DPO at the following address gdpr@payxpert.com or at the following postal address Av. Diagonal 440, 08037 BARCELONA,SPAIN. For more information on the Processing of your Personal Data by PAYXPERT, please consult our privacy policy available on our website at the following address: https://www.payxpert.com/privacy-policy/.

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Job Experience

• At least 5 years of proven experience in data engineering, with expertise in building and managing data pipelines and infrastructure.

• Proficiency in Python for data processing and analysis.

• Strong knowledge of relational databases (SQL Server, MySQL, PostgreSQL).

• Solid understanding of data modelling, schema design, and data warehousing concepts.

• Prior experience using Git and Bash.

• Experience with Apache Airflow, Talend, and CI/CD tools.

• API management is highly valued.

• Experience working with Azure, Talend and NoSQL databases is a plus.

Professional Knowledge:

• Exceptional analytical and troubleshooting skills.

• Attention to detail with precise and effective communication

• Focus and intuition for understanding the needs of the business

• Fluency in both English and Spanish.

HR Interview (30 min)

Technical Interview (1 hour)

Hiring Manager & CFO Interview (1 hour)