This is Worldline.

Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution.

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. The ideal candidate will have a strong background on data-related products within the Google Cloud Platform, using dbt to transform data efficiently from/into BigQuery layers. 

Day-to-Day Responsibilities​

• Use the dbt tool to create and manage transformation processes that transform and load data efficiently from/into BigQuery layers  

• Ensure the resilience and efficiency of data transformation jobs that can handle large volumes of data within a cloud-based architecture 

• Provide expertise in GCP services like DataProc, Cloud Functions, Cloud Composer, Cloud Run, BigQuery, and Looker, advocating for best practices in cloud-based data management  

• Collaborate with data architects, data analysts and other stakeholders to optimize data models and warehouse design for the cloud environment 

• Develop and implement monitoring, quality, and validation processes to ensure the integrity of data pipelines and data 

• Document all data engineering processes and create clear specifications for future reference and compliance 

• Use Python to develop and maintain the data ingestion pipelines. 

Who Are We Looking For

We look for big thinkers and problem solvers. People who can drive positive change, step up and show what’s next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means:  

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field 

•  Minimum of 5 years of experience as a Data Engineer with a focus on Google cloud-based solutions  

• Strong experience with dbt (Core or Cloud) 

• Proficient in GCP services, with a strong emphasis on data-related products such as BigQuery, Cloud Composer, DataProc, DataFlow, Cloud Functions. Cloud Run, Pub/Sub and Looker  

• Good understanding of versioning and CI/CD 

• Strong analytical skills with the ability to understand complex requirements and translate them into technical solutions  

• Excellent problem-solving abilities and a commitment to quality  

• Proficiency in SQL and Python with knowledge of Spark  

• Fluency in English required (written and spoken), with strong communication skills and the ability to work collaboratively in a team environment. German desirable. 

• Knowledge of the Financial or Banking businesses, or in the Payment field desirable 

• Extensive experience with ELT tools and a clear understanding of ELT best practices and desirable 

• Relevant certifications in the Google Cloud Platform or other data engineering credentials are desirable 

Shape the evolution.

We are pushing towards the next frontiers of payments technology. Here you’ll work with ambitious colleagues from around the world, take on unique challenges as a team, and make a real impact on society. And with our empowering culture, strong technology and extensive training opportunities, we help you accelerate your career. Wherever you decide to go. Join our global team of over 18,000 innovators across 40+ countries, and shape a tomorrow that is yours to own.

We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any applicable legally protected characteristics.

Learn more about life at Worldline at jobs.worldline.com