Data Engineer for Ringier designing and optimizing data architecture. Focused on managing large datasets for analytics and business intelligence functions.
Responsibilities
Developing and maintaining data transformation processes, metadata structures, and workload management systems.
Designing and implementing data integrations, data quality frameworks, and enhancements for data warehousing, visualization, and reporting.
Creating and optimizing data pipelines and architectures for analytics use cases.
Automating and streamlining data processing to improve efficiency and accuracy.
Collaborating with stakeholders to ensure data solutions align with business requirements.
Leading the development and maintenance of CI/CD pipelines for data workflows.
Ensuring data consistency, security, and governance across various platforms.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
7+ years of experience in data engineering, with at least 4 years of experience in Python and big data technologies.
Strong expertise in building and optimizing large-scale data pipelines and architectures.
Experience leading projects, particularly in data migrations and infrastructure improvements.
Proficiency in data lifecycle management, transformation, and governance principles.
Strong analytical skills and ability to work with unstructured datasets.
Experience with message queuing, stream processing, and scalable data stores.
Excellent communication and collaboration skills.
Benefits
We value work-life balance and have flexible working hours
Lots of team activities and perks: yearly retreats, workshops, hackathons
A chance to work with a team of experienced engineers committed to continuous learning, with opportunities for growth through knowledge-sharing sessions and webinars
Work with an international team of world-class engineers
A modern, sunny, open working place with a positive and fun atmosphere.
A stimulating work experience that will allow you to grow both professionally and personally
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