Senior Data Engineer SQL
Posted 11 hours 13 minutes ago by Swisslinx AG
Permanent
Not Specified
Other
Not Specified, Switzerland
Job Description
Senior Data Engineer SQL
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.
Experience building and maintaining scalable ETL/ELT data pipelines and ingestion workflows.
Experience with 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. jid5b30015a jit0521a jiy26a
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.
Experience building and maintaining scalable ETL/ELT data pipelines and ingestion workflows.
Experience with 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. jid5b30015a jit0521a jiy26a