Rejoignez Swisslinx AG en tant que Senior Data Engineer SQL a 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:
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. Ne laissez pas passer cette offre -- postulez maintenant.
Job description:
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REQUIREMENTS
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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
REQUIREMENTS
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. Ne laissez pas passer cette offre -- postulez maintenant.