BI Engineer for Global MedTech Company (ETL, DWH, SQL, Azure)

  • Plat

    2 000 - 4 000 € (brutto)

  • Miesto

    Práca z domu, SLOVENSKO

  • Jazyky

    Anglický B2

  • ID

    875

  • Úväzok

    Plný úväzok

Job description, responsibilities and duties

  • Oversee and sustain the efficiency, availability, and security of Business Intelligence (BI) platforms and tools.
  • Offer technical assistance and guidance to BI users, troubleshooting issues related to data integrity, system access, and report generation.
  • Work closely with BI analysts and IT teams to enhance and implement new functionalities in BI systems.
  • Create and update documentation for BI system configurations, workflows, and standard procedures.
  • Perform routine system audits to detect and resolve potential problems proactively.
  • Support the integration of BI tools with various enterprise systems and databases.
  • Educate users on BI tool utilization and advocate best practices within the organization.
  • Stay updated on emerging BI technologies to recommend system improvements.


Database & Data Warehousing Focus

  • Expertise in OLTP/OLAP database systems, data warehousing (DWH), ETL/ELT processes, and Business Intelligence (BI) reporting.
  • Develop complex T-SQL stored procedures and optimize SQL code using tools like SQL Sentry and Execution Plans.
  • Design and manage database objects such as tables, views, and functions.
  • Build and maintain ETL pipelines using SSIS and Azure Data Factory (ADF) for seamless data movement to the Data Warehouse.
  • Utilize Azure DevOps Server (formerly TFS) for documentation updates and version control.


Reporting & Business Intelligence

  • Develop and manage SSRS reports and Power BI dashboards.
  • Administer Microsoft SQL Server databases, including performance optimization, indexing, storage management, replication, user permissions, and SQL Agent job scheduling.
  • Work with Azure VM, Azure SQL Database, Azure Data Factory, and other cloud-based data services.
  • Improve Operational Data Store (ODS) by implementing new features and optimizing data pipelines for structured and unstructured data.
  • Diagnose, debug, and fix SSIS packages and SQL Server Agent jobs.


Development & Process Optimization

  • Utilize Git and Bitbucket for version control and collaboration.
  • Develop automation scripts using Python (Airflow) for workflow orchestration.
  • Work within Agile SCRUM and KANBAN methodologies for efficient project execution.
  • Design, develop, and optimize Power BI solutions, integrating them with SQL Server to fulfill business requirements.


Key Technologies & Tools

SQL Server, SSIS, T-SQL, JSON, SQL Server Agent, Git, Python (Airflow), Power BI, Azure (VM, SQL Database, Data Factory), ETL/ELT, DWH, BI Reporting.


Employee perks, benefits
​A rich and sophisticated bonus system.​

Company on whose behalf the position is being filled
Other manufacturing

Out client is global company within medical products and technologies.

Candidates with education suit the position
Secondary with school-leaving examination
Follow-up/Higher Professional Education
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)


Educational Specialization
Information Technology


Language skills
English - Upper intermediate (B2)


Personality requirements and skills
Key Requirements:

  • Demonstrated experience as a BI Support Engineer or in a similar role, with expertise in BI tools and technologies such as Power BI, Tableau, or QlikView.
  • Strong proficiency in SQL and experience working with database management systems like SQL Server or Oracle.
  • Excellent problem-solving abilities, with a talent for quickly identifying and resolving technical issues.
  • Strong communication and interpersonal skills, capable of explaining technical concepts to non-technical users.
  • Knowledge of data warehouse design and ETL processes.
  • Ability to work both independently and collaboratively in a dynamic, fast-paced environment.
  • Education and Qualifications:A bachelor’s degree in Computer Science, Information Systems, or a related discipline.
  • Strong SQL skills and a solid understanding of relational databases.
  • Experience with business intelligence tools such as Tableau, Power BI, or QlikView.
  • Understanding of ETL processes, data warehousing, and data modeling concepts.
Práca z domu, SLOVENSKO