Data Engineer (PySpark / Athens, Hybrid)

Do you enjoy working with large data sets to implement scalable data pipelines?

Do you have previous experience in PySpark SparkSQL?

Are you interested in joining a Global Industry Leader?

ManpowerGroup Greece, on behalf of its client a well-known Integration Service Provider is seeking for an experienced Data Engineer to join their Banking Project Team.

📌 Location: Athens, Northern Suburbs

📍 Working Model: Hybrid (3 on site 2 remote)

🖋️You will be reporting to: Project Manager

What you will do:

As an experienced Data Engineer, you will join the Delivery Team and participate in the implementation of scalable data pipelines, while managing data quality, and optimizing data workflows. You will bring into the team a proficient level of knowledge in Big Data technologies and Cloud platforms, ensuring reliable and efficient processing of large datasets.

More specifically, you will:

• 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

• A BSc/MSc Degree in Computer Science, Information Technology, or relative 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.
• Strong problem-solving skills and attention to detail.
• A collaborative mindset with a knowledge-sharing attitude.

It will be considered an asset any of the following:

• Experience with version control systems (e.g. Git) and CI/CD pipelines for data engineering.
• Cluster Tuning experience, for performance optimization.
• Experience in banking industry.

Benefits

• Competitive Salary (based on professional experience)

• Unlimited access to online courses/e-learnings
• Standard allowance in monthly vouchers
• Exposure to cutting-edge integration technologies and practices
• Hybrid Working Model

👥 Recruitment Process:

·       If you’re interested in this role, feel free to apply directly. Our consultants will contact the candidates who meet the profile’s requirements to arrange an interview.

·       As for the next steps, there will be 2 more interviews with the client either in person or online.

💬  For any questions regarding this opportunity, please directly contact Anna Georgiou to the following email: (ageorgiou@manpowergroup.gr)