Hays AG

Stellenangebot: Data Engineer - Analytics & Data Products (m/f/d)

Poing Vollzeit

Jetzt bewerben

Über uns

Our many years of recruitment experience and our expert knowledge of the engineering job market make us a strong partner for engineers and technicians. We maintain close relationships with customers across all industries and therefore can provide engineering specialists with exciting projects and attractive job opportunities, drawing on your personal interests and experience. As your professional companion, we support you throughout the entire process, from the first contact to the first day on your new job – all this completely free of charge. Register now and look forward to many interesting and suitable positions and projects.

Mein Arbeitgeber

Canon Production Printing specializes in developing and manufacturing high-tech printing products and workflow software for the commercial printing market, with a global presence across three continents and headquarters in Venlo, the Netherlands

Aufgaben

Design and implement transformations from source-aligned data to modelled, analytics-ready data products
Build, test, document, version and maintain analytical datasets using dbt or comparable technologies
Design, deploy and maintain reliable data-product pipelines, including monitoring, freshness SLAs, alerting and incident handling
Take ownership of schema design, data quality, performance optimisation and code quality
Ensure secure and compliant data handling and support access control, audit and recovery requirements
Apply engineering practices such as CI/CD, automated testing, code reviews and version control
Collaborate with domain teams, designers, architects, data consumers, and the CDP Platform and Enabling Team
Enable self-service analytics and cross-domain reuse through high-quality, well-documented data products

Profil

You are an analytical and quality-oriented engineer who takes ownership, communicates clearly and enjoys working across disciplines and locations
In addition, you bring: A Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Software Engineering or a comparable qualification
Advanced SQL skills, including analytical data modelling, data quality and performance assurance
Hands-on experience with dbt or comparable transformation and testing frameworks
Knowledge of Python or a comparable data engineering language
Experience with CI/CD, automated testing, code reviews and Git
Hands-on experience with AI tools, including agentic development approaches, is an advantage
Understanding of monitoring and observability, security, access management and compliance fundamentals
Strong communication skills in English; German language skills are an advantage

Wir bieten

Innovative Environment: Work in a forward-thinking, international team dedicated to pushing boundaries
Professional Growth: Opportunities for development and training in a dynamic setting
Permanent Employment Opportunity: Potential for transition to a permanent position
30 days of vacation
36 hours week