Data Engineer Temporary 6 Month FTC

fully flexible
Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

6+ years of experience in data engineering roles., Proficiency in SQL, Python, and modern data stack tools., Experience with cloud platforms like AWS, GCP, or Azure., Bachelor's degree in a technical discipline such as Computer Science or Data Science..

Key responsibilities:

  • Design and maintain scalable data pipelines for large data volumes.
  • Architect and build secure, flexible data lakes for business analytics.
  • Monitor and troubleshoot data infrastructure to ensure smooth operations.
  • Optimize performance and ensure compliance with data security regulations.

Paymentology logo
Paymentology Financial Services Scaleup https://www.paymentology.com
201 - 500 Employees
See all jobs

Job description

Description

At Paymentology, we’re redefining what’s possible in the payments space. As the first truly global issuerprocessor, 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, multicloud platform delivers realtime 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, 6month contract to design and build robust data pipelines and data lakes that power datadriven decisionmaking. 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 cloudnative 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 businesscritical information.
  • Monitor and troubleshoot data infrastructure to ensure smooth operations and data availability.
  • Optimize performance and costefficiency of existing data systems through continuous improvements.
  • Ensure adherence to data compliance, privacy, and security regulations.

    • Requirements

      What it takes to succeed:

      • 6+ years of experience in data engineering roles, with expertise in SQL, Python, and modern data stack tools.
      • Indepth knowledge of cloud platforms (AWS, GCP, or Azure) and experience implementing productiongrade 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 highscale environments.
          • Familiarity with version control, CICD pipelines, and workflow orchestration tools.

            • 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, forwardthinking environment.


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving

Data Engineer Related jobs