Data Engineer

We are seeking a highly skilled Data Engineer with expertise in managing, designing, and optimizing data pipelines utilizing Apache Airflow, Snowflake, and Apache Kafka. This individual will play a pivotal role in architecting robust, scalable, and efficient data solutions, ensuring the integrity, reliability, and accessibility of our data infrastructure.

• Develop and implement data models to support business requirements, optimizing for performance and scalability;
• Design, build, and maintain scalable data pipelines using Apache Airflow ;
• Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems;
• Integration to third party databases and APIs;
• Establish monitoring, alerting, and maintenance procedures to ensure the health and reliability of data pipelines;
• Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements.

• Proficiency in Python, SQL, and experience with data manipulation and transformation;
• Data warehouse and data modelling techniques;
• Experience in designing, building, and maintaining complex data pipelines using Airflow ;
• Proven track record in data engineering roles, with a focus on designing and implementing scalable data solutions using Snowflake or Redshift ;
• In-depth understanding and practical experience in implementing Kafka-based streaming architectures for real-time data processing.

• 24 days of vacation per year;
• Private Health Insurance;
• Daily Breakfasts and Friday lunches in the office;
• Snacks in the Office;
• Transport Allowance of up to 150 euro paid quarterly (public transport or taxi);
• Gym Subsidies for office building gym;
• Tennis or Paddle Training sessions reimbursement, up to 100 EUR monthly;
• Discount for Premium subscription for Cloudigo;
• Discounts at partners of the company;
• Annual salary reviews;
• Birthday gifts;
• Option for parking;
• Regular office & team building events.