Senior Data Warehouse Engineer (SQL Server, SSIS, SSAS)

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

• SQL Server expertise
• Hands-on experience in SSIS and SSAS
• Strong SQL and Data Warehouse knowledge
• Experience in L2 and L3 production support
• Ability to troubleshoot ETL, data load, and cube issues
• Experience with root cause analysis, hotfixes, deployments, and rollback
• Knowledge of DAX and MDX
• Experience with SQL Agent Jobs and SSIS Catalog
• Exposure to incidents, problem management, and change and release management
• Experience in minor enhancements and change requests
• Strong communication skills with business and support teams
• Experience with documentation and knowledge transfer
• Tabular model expertise is a plus
• Experience in performance tuning in SSIS, SSAS, and SQL is a plus
• Data reconciliation and data quality control experience is a plus
• Experience with incremental loads, archiving, and capacity planning is a plus
• AMS or managed services background is a plus
• Reporting and BI support exposure is a plus
• Knowledge base contribution and process improvement mindset is a plus

• Provide L2/L3 support for SSIS packages, SSAS cubes and tabular models, and SQL-based data warehouse jobs
• Monitor and resolve batch job failures, data load issues, and cube processing failures
• Perform root cause analysis and implement permanent fixes for recurring incidents
• Support production deployments, hotfixes, and rollback activities
• Ensure SLA adherence for incidents, service requests, and problem management
• Support business and upstream and downstream teams during data issues and reconciliations
• Implement small enhancements in SSIS including new columns, logic changes, and source additions
• Modify SSAS measures, dimensions, KPIs, and DAX and MDX calculations based on business needs
• Enhance existing data models to support new reports and analysis
• Work on delta loads, performance improvements, and optimisation of ETL and cubes
• Update technical design documents and perform impact analysis for changes
• Maintain SQL Server data warehouse schemas including facts, dimensions, and staging tables
• Optimise SQL queries, indexes, and ETL performance
• Handle data quality checks, reconciliation, and historical data management
• Support incremental loads, archiving strategies, and capacity planning
• Follow AMS processes including incident, problem, change, and release management
• Support code deployments via SSIS Catalog, SQL Agent Jobs, and controlled releases
• Participate in client discussions for issue resolution and minor change request clarifications
• Provide knowledge transfer and support documentation and contribute to knowledge base articles