Big Data Engineer

We're revolutionizing the payments industry by making pay-by-bank the new standard at checkout, providing a smarter payment option to credit and debit cards. For merchants and consumers, this means the freedom to make and receive payments with greater security and ease.

Fueled by our purpose, we've grown into a global network connecting thousands of merchants to hundreds of millions of consumers through banks across multiple countries, processing over billions annually. As the leader in pay-by-bank, we aim to redefine the payments experience by delivering exceptional products and unmatched value.

We believe that inclusion and diversity are essential foundations for building a fair and equitable society. We do not discriminate based on any characteristic. Our main goal is to provide a fair, welcoming, diverse environment with opportunities for all employees. The stages of our selection process take place online without distinction.

Now is the perfect time to help accomplish our mission. If you're inspired by purpose, thrive in a fast-paced and entrepreneurial environment, and are ready to shape the future of payments, we'd love to hear from you

About the Role

The DataOps team ensures that data from applications, APIs, and tools is delivered in a secure, scalable, and structured way across multiple environments. We work with batch and streaming pipelines, automate processes, and build observability to guarantee data quality. Our scope includes maintaining platforms like Redshift and QuickSight, enabling analytics, and supporting Data Science with infrastructure for model development. By delivering reliable and accessible data, we empower teams to make better decisions, improve productivity, and fight fraud.

• Design, implement, and maintain the scalable data platform infrastructure.
• Manage and evolve internal tools and frameworks for data ingestion and processing.
• Build and maintain secure, automated CI/CD pipelines for platform components and infrastructure-as-code.
• Collaborate with DevOps and Security teams to ensure compliance, reliability, and scalability of the data platform.
• Support version control, release workflows, and automation for notebooks, jobs, and tools used by data producers and consumers.
• Ensure high availability and performance of core data infrastructure through observability and alerting integrations.
• Build and apply design patterns for data architecture.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, IT, or related technical field.
• Successful history of building big data pipelines and orchestrating data workloads.
• Experience with AWS services and big data tools.
• Experience with relational databases and strong SQL coding skills.
• Hands-on experience with Infrastructure as Code, Kubernetes, Docker, and CI/CD tools.
• Solid background in automation and workflow orchestration.
• Python programming skills.
• Ownership and accountability for end-to-end delivery.
• Strong collaboration with cross-functional teams.
• Structured problem-solving and critical thinking.
• Clear communication with both technical and non-technical stakeholders.
• Effective prioritization and time management.

Benefits

• Health and dental plan with no co-payment cost.
• Life insurance with differentiated coverage.
• Meal voucher and supermarket voucher.
• Home Office Allowance.
• Team Allowance.
• Wellness program.
• Discounts at educational institutions and partner stores.
• English language classes.
• Extended maternity and paternity leave.
• Birthday Off.
• Flexible hours and Home Office policy.
• Welcome Kit including Apple equipment.
• Annual premium based on individual performance.
• Referral Program.