Senior Data Integration & SQL Architect

STAFIDE; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

STAFIDE seeks a Senior Data Integration & SQL Specialist to design and maintain enterprise-scale data integration solutions within complex banking environments.

You will develop optimized SQL, build ETL/ELT pipelines, and ensure data quality and governance across Core Banking, CRM, and Payments. This role requires collaboration with business and technical teams and a track record in data modelling and large-scale data platforms.

Qualifications

• 10+ years in data integration, SQL development, or related data engineering.
• 8+ years hands-on SQL development experience.
• 5+ years in Banking/Financial Services domain.
• Strong knowledge of ETL/ELT and data warehousing.

Responsibilities

• Design, develop, and maintain enterprise-scale data integration solutions in banking environments.
• Create complex SQL queries, procedures, views, and performance-tuned objects.
• Build and support ETL/ELT pipelines for ingestion, transformation, reconciliation, and integration.
• Integrate data across Core Banking, Lending, Credit, Payments, Treasury, CRM, and Digital Channels.
• Support batch and real-time data integration requirements.
• Ensure data accuracy, completeness, consistency, and lineage across systems.
• Support data transformation, migration, and modernization initiatives.
• Collaborate with business on financial and regulatory reporting needs.
• Develop and maintain financial data models for CIF, Lending, Portfolios, GL, and Finance.

Skills

Data integration

SQL development

ETL/ELT

Banking domain

Data modelling

Database design

Data quality

Job description

STAFIDE seeks a Senior Data Integration & SQL Specialist to design and maintain enterprise-scale data integration solutions within complex banking environments.

You will develop optimized SQL, build ETL/ELT pipelines, and ensure data quality and governance across Core Banking, CRM, and Payments. This role requires collaboration with business and technical teams and a track record in data modelling and large-scale data platforms.