Data Engineer

Data Engineer
Location: Warsaw
Contract Type: Full-time
Start Date: To be agreed

We’re currently looking for a Data Engineer with a strong focus on SAP BI and Microsoft Azure to join our team. In this role, you’ll play a key part in building and maintaining the data infrastructure that supports critical business insights and decision-making across the company.

This is a hands-on technical role where you’ll work on everything from designing data warehouse solutions to creating impactful data visualizations. Your contributions will help drive smarter strategies and improve operational performance.

Key Responsibilities

• Design, build, and maintain data warehouse architecture and data solutions

• Develop and fine-tune ETL (Extract, Transform, Load) pipelines for data integration

• Optimize data models and queries for scalability and performance

• Build visualization frameworks to turn complex data into clear, actionable insights

• Ensure all work aligns with quality standards and regulatory requirements

• Monitor project progress and share regular updates with stakeholders

• Document data models, processes, and system architecture thoroughly

• Support other data-related tasks as needed

Technical Focus Areas

• SAP BI systems and HANA-based SAP BW environments

• Microsoft Azure cloud data technologies

• SQL Server Development, SSIS, ADF, Power BI, Tableau, Excel

• Scripting in SQL, ABAP, or Python

• Data modeling, data supply chains, and database design

Who We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field

• At least 2 years of experience working with SQL or in a similar data engineering role

• Good understanding of the software development lifecycle and project governance

• Strong communication skills, both written and verbal

• Experience in the medical device industry is a plus

• Hands-on experience with Azure Cloud data tools is a strong advantage

 

Interested or know someone that could be?
Send your CV to r.resende@panda-int.com to apply or learn more.