Senior Data Engineer
Senior Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
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 a Senior Data Engineer to architect and implement a modern Data & AI platform that supports the next generation of issuer processing infrastructure. This role is vital for designing real-time and batch data pipelines used in fraud detection reconciliation and regulatory reporting. If youre an expert in streaming technologies cloud data architecture and high-volume transaction processing this is your opportunity to work on cutting-edge systems at global scale.
What you get to do::
Issuer Processing Data Engineering
- Design and build pipelines for end-to-end card transaction event processing (authorization through settlement).
- Normalize and process ISO8583/JSON payloads including de-duplication and correlation of retries reversals and late-clearing messages.
- Develop frameworks for scheme fee computation network clearing reconciliation and settlement reporting.
- Build client-level reporting capabilities for operational and audit purposes.
- Collaborate with Risk Fraud and Compliance teams to integrate real-time analytics and scoring mechanisms.
Data Architecture & Platform Engineering
- Design and implement both streaming and batch data pipelines using Kafka Flink Spark and Dataflow.
- Manage schema evolution and contract validation for changing transaction formats.
- Build and maintain data lakehouse environments (e.g. Delta Lake Iceberg).
- Enable performant OLAP workloads using BigQuery Redshift or Snowflake through appropriate data modeling strategies.
- Develop ETL/ELT orchestration with tools like Airflow Dagster or dbt.
- Implement observability lineage tracking and data quality monitoring using tools like Great Expectations and Monte Carlo.
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:
< 10%
Requirements :
What it takes to succeed:
- Advanced expertise in streaming data technologies (Kafka Flink Spark).
- Strong programming skills in Python Scala or Java.
- In-depth experience with ISO8583 issuer/acquirer transaction processing and financial-grade systems.
- Deep understanding of OLTP offload strategies and ledger-consistent data modeling.
- Skilled in building scalable data infrastructure in cloud environments (GCP AWS).
- Familiarity with financial compliance standards (e.g. PCI-DSS data masking encryption).
- Strong communication and collaboration skills across technical and business stakeholders.
- Analytical mindset and ability to handle complex data scenarios involving reconciliation discrepancies and reporting.
Education & Experience:
- Bachelors or Masters degree in Computer Science Data Engineering or a related technical field or equivalent practical experience.
- 7 12 years of experience in data engineering with demonstrated contributions to large-scale real-time data systems.
- Ideal candidates will have a strong grasp of MLOps practices and experience working with machine learning data pipelines particularly those used in areas like fraud or anomaly detection.
- Familiarity with Change Data Capture (CDC) tools such as Debezium or Kafka Connect is also valued.
- Experience working within regulated financial institutions or directly with card network integrations is highly regarded.
- Hands-on experience in ledger verification reconciliation logic and automated financial reporting.
- Contributions to open-source projects in the big data or fintech domains demonstrate a strong commitment to technical excellence and community engagement.
Remote Work :
Yes
Employment Type :
Full time
Employment Type
Remote
