OverviewIn this role you will own and shape major realtime big data projects, building and supporting end-to-end data pipelines in a cross-functional setting.
You will contribute to the team through code reviews, best-practice promotion, and robust solutions that scale with data.
You'll drive data-driven decision making and help the organization grow by delivering reliable, high-performance data services.
This position offers the chance to work with cutting-edge technologies and to influence data architecture and quality across the company.
Compensaciones / BeneficiosGreat career development opportunities
Hybrid working model
International Health Insurance
Health and Wellbeing Package (350 EUR per year)
Birthday Day Off
Me Time - 1 day off per year
ResponsabilidadesDesign, implement and maintain ETL processes, data integrations, and pipelines
Ensure robust handling and processing of large data volumes
Develop high-performance data services for storage, processing and analysis of big datasets
Design and implement data validation and quality checks tailored to business needs
Troubleshoot and resolve issues in live production systems
Experiment with and adopt new technologies to stay ahead of project needs
Promote best practices and participate in code reviews to raise overall quality
Collaborate with cross-functional teams to align data solutions with business goals
Support data governance and data quality initiatives
Monitor data pipelines and reliability to ensure accuracy and timeliness
Requisitos principalesExpertise with big data technologies such as Spark, Kafka, Nifi, ClickHouse
Strong understanding of schema design methodologies and data models
SQL extraction of large datasets, with familiarity of SQL databases