8 days ago
Remote, CanadaSenior / Staff+
Responsibilities
- Design and modernize legacy ETL/ELT pipelines for payment and settlement processing.
- Migrate high-volume financial file systems into a modern cloud architecture.
- Build scalable ingestion frameworks for batch and near-real-time transaction processing.
- Develop data transformation, validation, reconciliation, and file-generation logic for clearing and settlement workflows.
- Help replace legacy processor-based systems with a modern internal settlement engine.
- Implement encryption, tokenization, data security, and PCI-compliant data handling practices.
- Enable AI-assisted data migration and intelligent file parsing.
- Collaborate with product, architecture, and business teams on financial data flows and reporting systems.
- Optimize pipeline latency, operational overhead, and processing costs.
Requirements
- 7–12 years of experience in Data Engineering or Data Platform roles.
- Strong expertise in Python, SQL, and distributed data processing systems.
- Experience with Snowflake, AWS, Azure, or GCP cloud data platforms.
- Strong knowledge of ETL frameworks, data modeling, and batch and stream processing.
- Experience handling high-volume transactional or financial data systems.
- Understanding of data security, encryption, and compliance standards, with PCI preferred.
- Experience with file-based ingestion systems, SFTP, APIs, and event-driven pipelines.
- Familiarity with data governance, reconciliation, and auditability requirements.
- Payments, fintech, banking clearing or settlement, Kafka, Flink, real-time streaming, AI/ML-assisted transformation, LLM-based automation, legacy modernization, HSMs, tokenization systems, or merchant acquiring experience is desirable.
Benefits
- Internal events, meetups, conferences, workshops, Udemy access, language courses, and company-paid certifications.
- Internal mobility and opportunities to work across diverse domains and large-scale projects.
- Healthcare, basic life insurance, and short- and long-term disability insurance according to company benefit plans.
- Full-time role based in Canada.
Tech Stack
Categories
Data Engineering
About Ciklum
Ciklum is an IT services firm that builds custom digital products and provides nearshore engineering teams, QA, DevOps, data analytics, and UX for enterprises and high-growth startups. It operates a services model spanning product engineering, e-commerce solutions, and managed delivery centers. Founded in 2002 and headquartered in London, the privately held company serves global clients including Just Eat and Zurich Insurance.