SQL Server OLAP Systems Engineer

COMARCH

Kraków, Poland • 44m ago • On-site

Mid

On-site

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Quick Facts

  • Role: SQL Server / OLAP Systems Engineer

  • Experience: 3+ years

  • Focus: SQL Server, data warehouse ETL continuity, OLAP cube design/optimization, KPI reporting reliability

Description

You will maintain an HD environment, ensuring full continuity of daily data warehouse ETL processes and reliable reporting of key business KPIs. The role includes designing and optimizing OLAP cubes and working with high-volume, performance-critical data. You will also support end users and participate in data architecture improvement initiatives.

Responsibilities

  • Oversee the correctness and continuity of daily data warehouse loading (ETL)

  • Apply best practices for OLAP cube and SQL query performance optimization

  • Ensure data security and manage user permissions structures

  • Provide technical support to end users and resolve reported issues

  • Design, recommend, and implement improvements to the data architecture

  • Create reports and data visualizations supporting decision-making

  • Actively contribute to company development projects

  • Maintain documentation of changes and report identified errors

Requirements

  • Higher education

  • Minimum 3 years of experience in a similar role

  • Advanced MS SQL Server knowledge; strong ability to write and optimize queries, functions, and triggers

  • Experience designing, deploying, and maintaining OLAP cubes and tabular models

  • Ability to diagnose performance bottlenecks in queries and data processing

  • Practical experience creating clear reports and data visualizations

  • Basic PowerShell knowledge (preferred)

  • Communication, teamwork, independence, and proactivity in troubleshooting

Benefits

  • Private medical care (Allianz) for you and your closest family members

  • Cafeteria system: full subsidy for Multisport card or funding for culture, rest, sport, and shopping

  • Hybrid work after onboarding (2 remote days, 3 office days)

  • Access to advanced AI tools and Google Workspace

  • Collaboration with multiple competency teams to learn new technologies and expand IT knowledge

  • Professional development and real impact on business decisions

  • Facilities for cyclists and parking for drivers

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