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.RequirementsAs 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 improvementWhat We're Looking ForProfessional 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 autonomouslyBenefitsCompensation & Perks Salary: We will settle on the exact compensation amount based on prior experience and skillsPrivate health insurance & Life Insurance from day #1Health management scheme (weekly sessions & monthly challenges)25 vacation daysTeam events tech oriented and moreInternational networkLunch in the officeEmployee referral programme/ bonusDedicated budget for: Employee education : 800€Hardware selection (MacBook or Lenovo ThinkPad) with your own mobile : 3000€