BI / Data Engineer

We are looking for Data Engineers/BI Developers to join our team and take responsibility for designing, developing, and optimising Business Intelligence and data analytics solutions. We are seeking candidates with experience across the entire data analytics lifecycle who are comfortable working at the intersection of data, technology, and business.

Depending on your experience level (Regular or Senior), you will be involved in advanced data modeling, performance optimisation, data visualisation, and the development of scalable data infrastructures. You will work with large datasets, ensuring high data quality, reliability, and availability across the organisation.

Requirements:

• Strong experience with SQL or similar query languages

• Hands-on experience with BI tools

• Experience with ETL / ELT data processing

• Solid knowledge of data modeling and optimisation techniques

• Understanding of data quality management and KPI monitoring

• Experience working in cloud-based data ecosystems

• Ability to create scripts for process automation (SQL, Python, Scala)

• Experience collaborating with business stakeholders

• Strong communication skills and ability to gather business requirements

• Fluent Polish and English, both written and spoken

Nice to Have:

• Experience working with large-scale data platforms

• Knowledge of data warehouse and data lake architectures

• Proactive mindset and willingness to grow within data and analytics domains

Main responsibilities:

• Design, develop, and optimise BI and data analytics solutions

• Participate in the full data lifecycle: ingestion, transformation, modeling, and visualisation

• Build, maintain, and optimise data models (e.g. LookML, Analysis Services)

• Develop and manage ETL / ELT data processing pipelines

• Work with large-scale datasets and ensure data quality, consistency, and availability

• Automate data processing and analytics workflows using SQL, Python, or Scala

• Monitor data quality and KPI metrics

• Support business stakeholders by delivering data analyses and actionable insights

• Gather and translate business requirements into technical solutions

• Collaborate closely with technical and non-technical teams