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
Data Engineer (GCP) designing and maintaining scalable data platforms at LUZA Group in Portugal. Collaborating and ensuring data integrity across multiple complex datasets.
Data Architect at Integrant responsible for designing and building data solutions for analytical purposes. Involves eliciting requirements, data pipelines, and coaching teams on methodologies.
Senior Data Engineer developing and maintaining data pipelines for clients in an Agile setting. Collaborating with teams to enhance data quality and mentoring junior engineers.
Senior Data Engineer designing and maintaining scalable data pipelines using modern technologies. Collaborating with cross - functional teams and providing mentorship in a dynamic environment.
Data Architect leading design and implementation of cloud data platforms for digital transformation. Collaborating with stakeholders to define data strategies and governance models.
Data Engineer Consultant designing and optimizing data infrastructure for clients' business needs. Working with SQL and data visualization tools in a mainly remote role with some onsite responsibilities in Denver.
Data Engineer creating Real - Time Data Processing applications for a leading iGaming operator. Work involves stream data manipulation and collaboration in an Agile environment.
Data Engineer at Voodoo optimizing real - time data pipelines for gaming and consumer apps to support growth. Joining a top - tier data team dedicated to monetizing via advertising partners in a competitive landscape.
Cloud Data Engineer designing data architectures for cloud platforms at fifty - five. Collaborating with local and global teams to optimize marketing ROI and customer experience.