Senior Data Engineer SQL

Swisslinx AG est a la recherche d'un(e) Senior Data Engineer SQL pour son site de Zürich.

We are looking for a Senior Data Engineer with strong SQL and data modelling expertise to support the development, optimisation, and governance of enterprise data platforms within a highly regulated financial services environment.
Senior Data Engineer SQL
Job description:
•
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.
About the customer:
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.
Requirements:
•
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.
•
Background building and maintaining scalable ETL/ELT data pipelines and ingestion workflows.
•
Background 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.
•
Parcours professionnel 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.

Interessé(e) ? Postulez directement sur notre site.