Data Engineer

PRODYNA designs, implements, and operates custom software applications for mid to large enterprises, focusing on digitalization and cloud computing strategies.
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS

Description For Data Engineer

PRODYNA is a leading enterprise software development company specializing in custom software applications for mid to large enterprises. As a member of the Cloud Native Computing Foundation (CNCF), they are at the forefront of cloud computing and digital transformation. They are seeking a Data Engineer to join their team in Greece, working in a hybrid setting.

The role involves designing and implementing modern data platforms capable of processing large-scale data. You'll be responsible for creating efficient data pipelines, implementing backend services, and ensuring data quality. The position requires expertise in data integration tools, cloud platforms, and programming languages like Python and SQL.

This is an excellent opportunity for a mid-level engineer with several years of experience in data engineering. The company offers comprehensive benefits including health insurance, education budget, and flexible hardware selection. The role provides exposure to enterprise-level projects and the latest data engineering technologies including Data Mesh, Delta Lake, and modern cloud platforms.

Working at PRODYNA means joining an international network of professionals, with opportunities for continuous learning and development. The company culture emphasizes both technical excellence and work-life balance, offering 25 vacation days and regular team events. The position offers a blend of technical challenges and professional growth opportunities in a stable, enterprise-focused environment.

Last updated a day ago

Responsibilities For Data Engineer

  • Designing and conceptualizing modern data platforms for large-scale data integration and processing
  • Planning and implementing backend services using modern frameworks for data provisioning
  • Optimizing pipelines and integrating them into cloud platforms
  • Implementing tools for data quality, cleansing, and aggregation
  • Gathering and specifying requirements from clients

Requirements For Data Engineer

Python
  • Several years of experience in software development, data-driven projects, data warehousing
  • Knowledge in pipeline development and data integration (ELT/ETL, Azure Data Factory, DBT)
  • Familiarity with data modeling (Data Vault, Data Mesh, Kimball, Inmon methodologies)
  • Proficiency in SQL and at least one programming language (Python, Scala)
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Strong analytical and problem-solving skills

Benefits For Data Engineer

Medical Insurance
Education Budget
Vision Insurance
Dental Insurance
  • Private health insurance & Life Insurance from day #1
  • Health management scheme
  • 25 vacation days
  • Team events
  • International network
  • Lunch in the office & Go For Eat vouchers
  • Employee referral programme/bonus
  • Education budget (~800€)
  • Hardware selection budget (~3000€)

Interested in this job?

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