Overview Our Company is where we transform vision into reality. It\'s where ideas become technologies, and cutting-edge technologies become solutions for animal care and management. We support farmers by providing real-time actionable information to help them manage their herds. It provides pet owners with smart devices and data that give them a better understanding of their pets’ activity and health needs, enriching relationships. It helps conservationists safeguard natural environments and wildlife. Leveraging decades of Technological Research & Development experience across many markets, technologies and species, along with development environments and Quality Assurance procedures, we\'re always inventing new ways to look after the health and well-being of animals. Our decades of experience keep us ahead of the curve by leveraging advanced Technological Solutions from enhancing the precious bond between people and their pets, to advancing animal healthcare and wildlife preservation.
To our technology center in Prague we are looking for a highly talented and motivated Senior Data Engineer to join the R&D team.
Responsibilities Build data pipelines and sub systems that are scalable and sustainable throughout their lifecycle
Build efficient, extensible data models from a variety of sources
Work closely with various stakeholders and data scientists to roll out new products
Requirements A minimum of 5 years of experience in data engineering, with a proven track record of delivering solutions that support the product and / or internal stakeholders
Extensive expertise in cloud-based data platforms such as Snowflake or Databricks
Experience in designing, building, deploying, and maintaining complex end-to-end data pipelines
Strong proficiency in SQL, including advanced query optimization techniques
Experience with monitoring procedures and data quality tools
Strong proficiency in Python programming, with experience in building data pipelines
Experience with cloud platforms like AWS, Azure, or GCP
Team player with a passion for collaboration and driving growth
Experience with Airflow, DBT, Databricks, Azure Data Factory (ADF) is a plus
Our offer Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern
Pension and health insurance contributions
Internal reward system plus referral program
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen
Senior Data Engineer • Madrid, Madrid, España