About Worldline

At Worldline, we are pioneers in payments technology, committed to creating innovative solutions that make financial transactions secure, accessible, and seamless worldwide. Our diverse team of professionals collaborates across cultures and disciplines, driving progress that benefits society and businesses of all sizes. We believe that diverse perspectives fuel innovation and are dedicated to fostering an inclusive environment where all individuals can thrive.

The Opportunity

We are seeking a highly skilled and knowledgeable Data Engineer to join our Data Management team on a transformative Move to Cloud (M2C) project. This role offers a unique opportunity to contribute to a critical initiative, migrating our data infrastructure to the cloud and optimizing our data pipelines for performance and scalability. We welcome applicants from all backgrounds and experiences, believing that our strength lies in our diversity.

Technical Skills & Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience: Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based solutions, preferably within the Google Cloud Platform (GCP) ecosystem.
• Essential Skills:
  • Strong knowledge of version control systems and CI/CD pipelines.
  • Proficiency in GCP services, particularly DataProc, Dataflow, Cloud Functions, Workflows, Cloud Composer, and BigQuery.
  • Extensive experience with ETL tools, specifically dbt Labs, and a deep understanding of ETL best practices.
  • Proven ability to build and optimize data pipelines, architectures, and datasets from both structured and unstructured data sources.
  • Proficiency in SQL and Python, with experience using Spark.
  • Excellent analytical and problem-solving skills, with the ability to translate complex requirements into technical solutions.
• Desirable Skills: Relevant certifications in Google Cloud Platform or other data engineering credentials.

Preferred Skills

• Experience migrating data from on-premises data warehouses (e.g., Oracle) to cloud-based solutions.
• Experience working with large-scale datasets and complex data transformations.
• Strong communication and interpersonal skills, with the ability to collaborate effectively within a team environment.

Why Join Us?

At Worldline, we believe that embracing diversity and promoting inclusion drives innovation and success. We foster a workplace where everyone feels valued and empowered to bring their authentic selves. We offer extensive training, mentorship, and development programs to support your growth and help you make a meaningful impact. Join a global team of passionate professionals shaping the future of payments technology—where your ideas, experiences, and perspectives are appreciated and celebrated. Learn more about life at Worldline at Jobs.worldline.com.

We are an Equal Opportunity Employer. We do not discriminate based on race, ethnicity, religion, color, national origin, sex (including pregnancy and childbirth), sexual orientation, gender identity or expression, age, disability, or any other legally protected characteristic. We are committed to creating a diverse and inclusive environment for all employees