[Hiring] Senior Data Engineer @Ciklum

Role Description

Ciklum is looking for a Senior Data Engineer to join our team full-time in Canada. As a Senior Data Engineer, become a part of a cross-functional development team, engineering experiences of tomorrow.

• Building infrastructure for payments across global markets.
• Modular, flexible, and scalable technology enables leading companies to accept next-generation payments.
• Consolidation of legacy acquiring, clearing and settlement platforms onto a modern .NET, Python and Azure based core.
• Strong emphasis on integration, quality engineering, performance, and secure, PCI-compliant delivery.

Responsibilities:

• Design and modernize complex ETL/ELT pipelines currently built on legacy systems for payments and settlement processing.
• Support migration of high-volume financial file systems (~68 daily files, 50+ formats) into a modern cloud-based architecture.
• Build scalable data ingestion frameworks for batch and near real-time transaction processing.
• Work on data transformation, validation, reconciliation, and file generation logic for clearing and settlement workflows.
• Collaborate on replacing legacy processor-based systems with a modern internal settlement engine.
• Implement data security, encryption (AES-256), tokenization, and PCI-compliant data handling practices.
• Enable AI-assisted data migration and intelligent file parsing using modern data engineering techniques.
• Work closely with product, architecture, and business teams to ensure accuracy of financial data flows and reporting systems.
• Optimize data pipelines to reduce latency, operational overhead, and processing costs (target ~60% efficiency improvement).

Qualifications

• 7–12 years of experience in Data Engineering or Data Platform roles.
• Strong expertise in Python, SQL, and distributed data processing systems.
• Experience with cloud data platforms (Snowflake, AWS, Azure, or GCP).
• Strong knowledge of ETL frameworks, data modeling, and batch/stream processing.
• Experience handling high-volume transactional or financial data systems.
• Understanding of data security, encryption, and compliance standards (PCI preferred).
• Experience working with file-based ingestion systems (SFTP, APIs, event-driven pipelines).
• Familiarity with data governance, reconciliation, and auditability requirements.

Requirements

• Experience in payments, fintech, or banking clearing/settlement systems (desirable).
• Knowledge of Kafka, Flink, or real-time streaming architectures (desirable).
• Exposure to AI/ML-assisted data transformation or LLM-based automation (desirable).
• Experience with legacy system modernization programs (desirable).
• Familiarity with HSMs, tokenization systems, and merchant acquiring flows (desirable).

Benefits

• Strong community: Work alongside top professionals in a friendly, open-door environment.
• Growth focus: Take on large-scale projects with a global impact and expand your expertise.
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications.
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies.
• Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company’s Benefit Plans.