Data Engineer

At PRODYNA , we believe in achieving major milestones through team spirit and genuine collaboration. We create a framework where individuals can contribute their strengths, develop themselves professionally, and be part of something truly impactful. We value a culture of mutual support, continuous learning and strong cohesion — because great successes are built together.

Requirements

As a Data Engineer specialising in the Snowflake platform, you will play a critical role in building, maintaining and optimising our modern data stack. Working alongside Data Architects, Analysts and Application teams, your responsibilities will include:

• Designing, implementing, and maintaining scalable data pipelines using Snowflake and related technologies.
• Working with raw and transformed data to enable analytics, reporting and data-driven decision making.
• Collaborating on data modelling, schema design and performance tuning for Snowflake.
• Integrating data sources (cloud, on-premises, streaming, batch) into the data warehouse environment.
• Ensuring data quality, reliability, documentation and best practices around data governance.
• Supporting business users, stakeholders and data consumers with the data platform, troubleshooting issues and driving continuous improvement.

What we’re looking for

Professional qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or related field (or equivalent practical experience).
• At least 3 years of hands-on experience in a data engineering role, ideally with Snowflake as a core part of the stack.
• Strong SQL skills and experience with data modelling (star/snowflake schemas, dimensional modelling) and design patterns.
• Experience with Snowflake features: e.g., warehouses, micro-partitioning, clustering, performance optimisation.
• Familiarity with ETL/ELT tools and frameworks, scripting languages (Python, SQL, etc).
• Experience working with cloud platforms (AWS, Azure, or GCP) and data lake/integration technologies.
• Solid understanding of data quality, data governance, metadata management and documentation practices.
• Excellent communication skills in English; local language [if required] is a plus.
• Proactive, independent, solution-oriented mindset, comfortable working both in a team and autonomously.

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€