Data Engineer - Temporary 6 Month FTC
Data Engineer - Temporary 6 Month FTC
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Job Description
At Paymentology we re redefining what s possible in the payments space. As the first truly global issuer-processor we give banks and fintechs the technology and talent to launch and manage Mastercard Visa and UnionPay cards at scale - across more than 60 countries.
Our advanced multi-cloud platform delivers real-time data unmatched scalability and the flexibility of shared or dedicated processing instances. Its this global reach and innovation that sets us apart.
We re looking for two Data Engineers for a temporary 6-month contract to design and build robust data pipelines and data lakes that power data-driven decision-making. This role is essential in ensuring our data infrastructure is scalable efficient and secure while supporting critical business analytics and reporting capabilities.
If you re experienced in designing data pipelines and building robust cloud-native data infrastructure this is your opportunity to make a global impact.
What you get to do::
- Design and maintain scalable data pipelines to process large volumes of data with high reliability and low latency.
- Architect and build data lakes that support flexible secure and efficient access to business-critical information.
- Monitor and troubleshoot data infrastructure to ensure smooth operations and data availability.
- Optimize performance and cost-efficiency of existing data systems through continuous improvements.
- Ensure adherence to data compliance privacy and security regulations.
What you can look forward to::
At Paymentology it s not just about building great payment technology it s about building a company where people feel they belong and their work matters. You ll be part of a diverse global team that s genuinely committed to making a positive impact through what we do. Whether you re working across time zones or getting involved in initiatives that support local communities you ll find real purpose in your work - and the freedom to grow in a supportive forward-thinking environment.
Travel:
< 5%
Requirements :
What it takes to succeed:
- 6 years of experience in data engineering roles with expertise in SQL Python and modern data stack tools.
- In-depth knowledge of cloud platforms (AWS GCP or Azure) and experience implementing production-grade data infrastructure.
- Strong understanding of database systems especially PostgreSQL and SQL Server including replication and networking configurations.
Education & Experience:
- Bachelor s degree in a technical discipline preferred (e.g. Computer Science Engineering Data Science).
- Proven experience with data pipeline architecture and deployment in high-scale environments.
- Familiarity with version control CI/CD pipelines and workflow orchestration tools.
Remote Work :
Yes
Employment Type :
Temporary
Employment Type
Remote
