Mid/Senior Data Engineer (Banking)

IKH is a leading Software & Robotics Solutions company operating internationally. Within just a couple of years, our team grew up more than 80%, we moved into a new spacious and modern office, and we kicked off 2024 with several new and exciting projects in digital transformation, custom software and robotics.

We are now looking for a Data Engineer with strong technical skills and solid working experience to work in new challenging outsourced projects.

Responsibilities

• Utilize data management and processing capabilities in PySpark/SparkSQL/SQL to design, build, and optimize scalable data pipelines.

• Leverage the big data platforms for large-scale data processing, ensuring efficient data workflows and integration.
• Implement robust ETL processes to extract, transform, and load data from various sources into data lakes and warehouses.
• Identify, troubleshoot, and resolve data quality issues, ensuring the integrity and reliability of data across all pipelines.
• Collaborate with data scientists and analysts to enable advanced analytics and machine learning models through well-engineered data pipelines.
• Optimize data storage and retrieval for both batch and real-time data processing.
• Work with diverse datasets, ensuring data availability and consistency for stakeholders.

Requirements

• Bachelor's degree or higher in Computer Science, Information Technology, or a related field.
• 3-4 years of hands-on experience in data engineering and data pipeline development.
• Experience in working at Data Science projects and ability to collaborate with Data Scientists
• Proficiency in PySpark/SparkSQL/SQL for big data processing and optimization.
• Familiarity with cloud platforms, particularly Azure, for deploying and managing data infrastructure.
• Solid understanding of ETL processes, data warehousing, and data lake architectures.

Benefits

• An attractive salary package
• Career development and growth opportunities
• An amazing private & open-office workspace in Athens #LI-Hybrid
• Continuous training via personalized seminars
• Stable and enjoyable working environment