Senior Data Engineer SQL

A leading international financial services organisation focused on delivering large-scale data, analytics, and transformation initiatives across finance, risk, compliance, and business operations within a complex enterprise environment.

• Develop and optimise complex SQL transformations supporting analytics, reporting, and regulatory requirements.
• Build and maintain SQL-centric ETL/ELT data pipelines and ingestion workflows.
• Contribute to enterprise data models including Data Vault, dimensional, and 3NF structures.
• Implement data quality checks, validation rules, monitoring, and SQL testing.
• Support data governance, lineage, metadata management, and documentation standards.
• Collaborate closely with finance, risk, compliance, and business stakeholders to translate requirements into scalable data solutions.
• Support troubleshooting across ingestion, modelling, and operational processes.
• Contribute to platform evolution, engineering improvements, and operational excellence initiatives.
• Work with BI teams to optimise datasets for reporting and dashboard consumption.
• Apply engineering best practices including testing, version control, automation, and documentation.

• Apply engineering best practices including testing, version control, automation, and documentation.
• Requirements:
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of experience in Data Engineering or SQL-heavy backend development roles.
• Strong experience within banking, financial services, or other regulated enterprise environments.
• Expert-level SQL knowledge including complex query development, optimisation, and performance tuning.
• Strong hands-on experience with enterprise data models such as Data Vault, dimensional modelling, SCD, and 3NF.
• Experience building and maintaining scalable ETL/ELT data pipelines and ingestion workflows.
• Experience with Python for automation, API integrations, or workflow optimisation is highly beneficial.
• Exposure to BI and reporting tools such as Tableau, Power BI, or similar platforms is advantageous.
• Experience working with data governance, lineage, metadata management, monitoring, and testing frameworks.
• Strong analytical thinking and problem-solving capabilities with a proactive and quality-focused mindset.
• Excellent communication and stakeholder management skills with the ability to collaborate across technical and business teams.
• Fluent English is required; German and/or French is considered advantageous.