Senior Data Engineer

Canada
Remote
Posted Nov 4, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 7+ years
Posting language: English

Job summary

Design and modernize complex ETL/ELT pipelines for financial systems while migrating high-volume data to a modern cloud-based architecture. Collaborate with cross-functional teams to implement secure, PCI-compliant data handling and optimize pipeline performance.

Job details

Ciklum is looking for a Senior Data Engineer to join our team full-time in Canada. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: 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. Its modular, flexible, and scalable technology enables leading companies to accept next-generation payments, provide a wide range of payout options, and leverage capabilities across card issuing, banking, risk, and fraud management services. We are building an AI-assisted engineering playbook and delivering the consolidation of legacy acquiring, clearing and settlement platforms onto a modern .NET, Python and Azure based core, with 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) 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 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 Desirable: * Experience in payments, fintech, or banking clearing/settlement systems * Knowledge of Kafka, Flink, or real-time streaming architectures * Exposure to AI/ML-assisted data transformation or LLM-based automation * Experience with legacy system modernization programs * Familiarity with HSMs, tokenization systems, and merchant acquiring flows What’s in it for you? * 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 About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. Now expanding across Canada, we’re looking for talented professionals to strengthen our North American footprint. Join us to innovate at scale and deliver world-class solutions to global clients. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum. #LI-HD1

What you’ll do

Requirements

Requires 7–12 years of experience in data engineering with strong expertise in Python, SQL, and distributed data processing systems. Candidates should have experience with cloud platforms and a solid understanding of data security, encryption, and financial data workflows.