4 Data Engineer Jobs Berlin

Design, develop, and maintain data workflows of data ingestion, processing, normalisation and collaboration pipelines, Deliver key data and insights into leading software platforms, Source, process, and standardize data collection from multiple source formats, Develop, maintain and scale database architecture

Design, develop, and maintain robust data pipelines to support reporting, analytics, and decision-making across the organization., Collaborate closely with data engineers, analysts, and scientists to translate business requirements into scalable data engineering solutions., Build and maintain scalable data infrastructure and processes, ensuring reliability, efficiency, and alignment with industry best practices., Monitor, optimize, and troubleshoot database performance to ensure seamless data flow and minimal downtime., Enable advanced analytics and machine learning by designing cloud-based solutions that are scalable and efficient., Guarantee data quality and consistency, contributing to the creation of a single source of truth across the organization., Play a pivotal role in shaping how data powers key business decisions in a fast-paced e-commerce environment.

Schlüsselrolle bei der unternehmensweiten Datenintegration und -bereitstellung für Stakeholder, Entwicklung der Datenstrategie von Hays Deutschland, Integration der deutschen Architektur in die globale Infrastruktur, Zusammenarbeit mit Beratungsteams und externen Lieferanten zur Lieferung qualitativ hochwertiger Datenprodukte, Strategische Entwicklung der Einheit in Abstimmung mit Data Product- und Data-Governance-Teams, Sicherstellung der Qualität, Effizienz und Skalierbarkeit der Datenproduktlandschaft, Förderung eines agilen Umfelds mit ausgeprägter Produktmentalität

Explore data in different domains of the public sector and transform it into meaningful data stories and visualisations for decision-makers., Build, test and maintain automated data pipelines with airflow, python and dbt, as well as reliable predictive models., Support the process ranging from ideation, prototyping and implementation to standardisation, support and monitoring the solutions in production., Collaborate with other technical and non-technical teams in an agile environment., Take part in internal learning & growth projects.