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Strong Tier-1 brand and common data engineer title, but niche payments and middleware skills reduce applicant pool.
Requires banking/payments middleware expertise, limiting transferability across industries.
Many mandatory technical skills, domain-specific payments/middleware experience, and explicit seniority increase filtering strictness.
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Design and develop scalable data solutions focusing on data integration, ETL/ELT, and data pipeline optimization.
Manage and optimize enterprise middleware platforms including IBM WebSphere Application Server and messaging systems such as IBM MQ.
Collaborate with cross-functional teams to drive technology modernization, automation, and ensure high availability of business-critical financial systems.
5–7 years of experience for Data Engineer roles; 8–10+ years for Senior/Lead Data Engineer roles with expertise in Data Engineering, SQL, WebSphere Application Server, IBM MQ, Middleware, and Payment Systems.
Strong proficiency in SQL with experience in Oracle, SQL Server, PostgreSQL, or DB2 databases.
Hands-on experience with middleware and enterprise applications, specifically IBM WebSphere Application Server and IBM MQ.
Experience working in Banking, Payments, or Financial Services domains; domain expertise preferred but not strictly mandatory.
Experienced in designing and optimizing data pipelines and database performance in enterprise environments involving financial transaction processing and payment messaging.
Skilled in middleware lifecycle management and integration platform automation, with working knowledge of DevOps tools and cloud platforms.
Familiar with payment systems standards such as SWIFT and ISO 20022, ideally with a background supporting banking and payments technology modernization initiatives.