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Data & BI Software Engineer
Job summary
A leading tech company is seeking a Data & BI Specialist to design and develop BI solutions. You will be responsible for data modeling, optimizing dashboards, and ensuring data quality. The role offers remote flexibility and is suited for both regular and senior levels, requiring expertise in SQL, BI tools like Looker and Power BI, and Google Cloud Platform technologies.
Qualifications
- Experience in SQL, Python, or Scala.
- Hands-on experience with BI tools like Looker and Power BI.
- Strong expertise in Google Cloud Platform, especially Looker and LookML.
- Fluent in English for technical documentation.
Responsibilities
- Create and optimize interactive dashboards and data visualizations.
- Design scalable data models and perform advanced SQL queries.
- Build and optimize ETL/ELT processes.
- Implement data governance principles and monitor data quality.
- Support stakeholders through data analysis.
Skills
Tools
- Experience in any SQL (or similar)
- Knowledge of BI tools (particularly Power BI)
- Ability to design data models
- Optimizing interactive dashboards and reports
- Familiarity with ETL/ELT processes
- Experience with GCP, especially Looker and LookML
- Data governance principles and experience in monitoring data quality
- Fluency in English and Polish
- Position: Data & BI Specialist
- Workplace: Anywhere in Poland (remote or hybrid work)
- Level: Regular/Senior
- Department: Data & BI
We are seeking a Data & BI Specialist responsible for designing, optimizing, and developing BI solutions. Depending on your experience level (Regular/Senior), your tasks will include advanced data modeling, performance optimization, and data visualization. Additionally, you may work on developing infrastructures and processing large datasets, ensuring their high quality and availability across the organization.
Data Visualization:
Creating and optimizing interactive dashboards and data visualizations.
Performance optimization of reports.
UX/UI development.
Data Modeling & SQL:
Designing scalable data models.
Advanced SQL queries.
Supporting Master Data Management (MDM).
Infrastructure & Data Processing:
Building and optimizing ETL/ELT processes.
Incident management and monitoring cloud infrastructure.
Data Governance & Quality:
Implementing data governance principles.
Monitoring data quality (KPIs).
Managing data catalogs (e.g., Purview).
Business Support:
Supporting stakeholders through data analysis and delivering key insights.
Gathering business requirements.
- Proficiency in SQL (or Python, Scala, etc.) and ability to design data models (Lookml, AAS)
- Hands‑on experience with BI tools (Looker, Power BI) and optimizing interactive dashboards and reports.
- Knowledge of ETL/EL processes
- Strong expertise in Google Cloud Platform, particularly with Looker and LookML.
- Understanding of data governance principles and experience in monitoring data quality.
- Fluent communication in English, especially in the context of technical documentation and collaboration with international teams.
- Ability to create scripts for process automation (Python, Scala).
- Experience in Fabric, Databricks, Snowflake, etc.
- Basic knowledge of frameworks for processing large datasets, such as Hadoop or Spark.
- Experience with data management tools (e.g., Purview, Collibra).
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.