
Data Engineer, BI Analyst – Fabric
IKNOWHOW SA
full-time
Posted on:
Location Type: Hybrid
Location: Neo Psychiko • 🇬🇷 Greece
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
ETLPythonSQL
About the role
- **iKnowHow SA** is a leading Software & Robotics Solutions company operating internationally. We aim to empower businesses with innovative software and robotics solutions. As a rapidly growing company with a vision for the future, we are committed to fostering a dynamic and collaborative workspace where creativity and technical excellence thrive.
- We are now looking for an experienced **Data Engineer/BI Analyst** with experience on the **Microsoft Fabric **platform, to join our team. The ideal candidate will combine analytical thinking with technical skills in data management to transform data into actionable insights and support data-driven decisions
- **Responsibilities**
- - Design, develop, and optimize ETL processes and data pipelines.
- - Analyze data and produce reports/dashboards using BI tools.
- - Ensure data quality and reliability.
- - Collaborate with business units to understand needs and translate them into data solutions.
- - Support data architecture and improve database performance.
Requirements
- - Degree in Computer Science, Statistics, Mathematics, or a related field.
- - At least 2 years of experience in Data Engineering and Business Intelligence.
- - Experience with SQL and similar databases.
- - Experience with ETL tools.
- - Good knowledge of Business Intelligence tools.
- - Familiarity with Python or R for data analysis (considered an advantage).
- - Ability to work collaboratively in cross-functional teams.
- - Strong communication skills.
Benefits
- - Attractive salary package based on experience and qualifications
- - A modern workspace in Athens, with remote work flexibility
- - Career development and growth opportunities through a structured Job Grade System
- - Continuous learning opportunities, including personalized training seminars and access to cutting-edge technologies
- - A stable and enjoyable working environment within an international and highly skilled team
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data EngineeringBusiness IntelligenceETL processesdata pipelinesSQLETL toolsBusiness Intelligence toolsPythonRdata analysis
Soft skills
analytical thinkingcollaborationcommunication