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

Design and implement transformations from source-aligned data to modelled, analytics-ready data productsBuild, test, document, version and maintain analytical datasets using dbt or comparable technologiesDesign, deploy and maintain reliable data-product pipelines, including monitoring, freshness SLAs, alerting and incident handlingTake ownership of schema design, data quality, performance optimisation and code qualityEnsure secure and compliant data handling and support access control, audit and recovery requirementsApply engineering practices such as CI/CD, automated testing, code reviews and version controlCollaborate with domain teams, designers, architects, data consumers, and the CDP Platform and Enabling TeamEnable self-service analytics and cross-domain reuse through high-quality, well-documented data products 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 qualificationAdvanced SQL skills, including analytical data modelling, data quality and performance assuranceHands-on experience with dbt or comparable transformation and testing frameworksKnowledge of Python or a comparable data engineering languageExperience with CI/CD, automated testing, code reviews and GitHands-on experience with AI tools, including agentic development approaches, is an advantageUnderstanding of monitoring and observability, security, access management and compliance fundamentalsStrong communication skills in English; German language skills are an advantage Innovative Environment: Work in a forward-thinking, international team dedicated to pushing boundariesProfessional Growth: Opportunities for development and training in a dynamic settingPermanent Employment Opportunity: Potential for transition to a permanent position30 days of vacation36 hours week 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.

Responsibilities

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

Benefits

Innovative Environment: Work in a forward-thinking, international team dedicated to pushing boundariesProfessional Growth: Opportunities for development and training in a dynamic settingPermanent Employment Opportunity: Potential for transition to a permanent position30 days of vacation36 hours week