Job Description

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 tasks

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

• Several years of experience in software development, particularly in data-driven projects, data warehousing, or data platform construction.
• You are skilled in developing pipelines and data integration routes both on-premises and in the cloud (ETL/ELT, 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.
• Additional knowledge of data science or business intelligence (reporting tools) is an advantage.

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
• Employee referral programme/ bonus

Dedicated budget for:

• Employee education ~ 800€
• Hardware selection (MacBook or Lenovo ThinkPad) with your own mobile ~ 3000€