More jobs:
Oracle & SQL Server Dev
Job in
Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listed on 2026-02-14
Listing for:
Acquism SARL
Full Time
position Listed on 2026-02-14
Job specializations:
-
IT/Tech
Data Engineer, Database Administrator
Job Description & How to Apply Below
The Oracle and SQL Server Developer will support the design, development, and maintenance of database-driven data solutions. The role focuses on ETL development, Data Warehousing, reporting, and database automation, while collaborating within an agile, cross-functional environment.
Key Responsibilities- Design and maintain ETL workflows using SSIS to integrate data from multiple sources into a centralized Data Warehouse
- Write, optimize, and maintain SQL and PL/SQL scripts
, stored procedures, and functions for SQL Server and Oracle databases - Create and maintain SSRS reports and Power BI dashboards to support business intelligence needs
- Support automation of database maintenance and deployment tasks using Power Shell
- Collaborate with cross-functional teams in an agile environment to gather requirements and deliver data solutions
- Contribute to the implementation of CI/CD pipelines for database development and deployment
- Learn and assist in automating the generation of Data Warehouse structures based on metadata
- Participate in agile ceremonies including sprint planning, daily stand-ups, and retrospectives
- 2–4 years of experience in SQL Server (SSIS, SSRS) and Oracle database development
- Strong understanding of ETL processes
, data integration
, and Data Warehouse architecture - Experience with Power BI for dashboards and data visualization
- Basic knowledge of Power Shell scripting for automation and database maintenance
- Exposure to Dev Ops practices
, including continuous integration and automated testing - Knowledge of object-oriented programming
, particularly .NET
, is a plus - Strong problem-solving and analytical skills with a willingness to learn and grow
- Fluent in English
; German language skills are a plus but not required
- Familiarity with automated generation of Data Warehouse solutions based on metadata
- Exposure to CI/CD tools such as Jenkins, Azure Dev Ops, or Git Lab
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