Data Engineer

At PRODYNA we design, implement, and operate custom software applications for mid- to large-sized enterprises. We're committed to offering our customers innovative and future-proof solutions through digitalization and cloud computing strategies. As a member of the Cloud Native Computing Foundation (CNCF), we promote speed, agility, and scalability in software development.

Your Role

As a Data Engineer, you'll be responsible for designing and conceptualizing modern data platforms capable of integrating and processing large volumes of data from systems at scale. Your responsibilities will include:

Designing and conceptualizing modern data platforms for large-scale data integration and processing.
Planning and implementing backend services using modern frameworks for data provisioning and utilization.
Independently optimizing pipelines and integrating them into cloud platforms.
Implementing tools and solutions to ensure data quality, data cleansing, and provision of aggregated data for analysis.
Gathering and specifying requirements from our clients.

Requirements

Your Profile

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

Nice to Have:

Experience with Microsoft Fabric or understanding of the Fabric ecosystem.
Knowledge of Delta Lake, Lakehouse architecture, and data mesh principles.
Familiarity with CI/CD for data pipelines.
Exposure to data cataloging tools (e.g., Purview, Alation).
Understanding of privacy regulations (e.g., GDPR, CCPA).

Benefits

Compensation & Perks

Salary: We will settle on the exact compensation amount based on prior experience and skills.
Private health insurance & Life Insurance from day #1
Health management scheme (weekly sessions &monthly challenges)
25 vacation days
Team events tech oriented and more
International network
Lunch in the office & Go For Eat vouchers
Employee referral programme/ bonus