Delight customers by providing outstanding technical support, service, and product selection assistance. Responsible for maintaining company property (company car, computer, office equipment, customer demo/loaner products, consignment stock, etc.) that is in his/her control, and or at his/her customer site.
What makes you stand out You hold a degree in (business) mathematics, computer science, economics, or a comparable field.You also bring relevant professional experience in the data domain, for example as a BI Engineer or Data Engineer.You have strong knowledge of SQL and Python, as well as proven experience in developing cloud‑based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake.You stand out through your analytical skills and project management capabilities, as well as a strong goal‑oriented and problem‑solving mindset.You communicate confidently in German and English.
Ihre Benefits attraktive Vergütungkontinuierliche Weiterentwicklung: individuelle Karriereplanung, Teilnahme an verschiedenen Programmen sowie Herstellerzertifizierungenflexible ArbeitsgestaltungMitarbeit in einem motivierten Team Möglichkeit zur Berufsunfähigkeitsversicherung & betriebliche Altersvorsorge Ihr Aufgabenbereich Planung und Umsetzung von Cloud-Lösungen auf Basis von Microsoft AzureBeratung von Kunden zur Identifikation aktueller Herausforderungen & Ableitung konkreter AnforderungenEntwicklung maßgeschneiderter Azure-Lösungsstrategien gemeinsam mit Kunden & TeamkollegenVorbereitung und Durchführung von Workshops beim Kunden vor Ort zur nachhaltigen Wissenssicherungaktives Verfolgen neuer Technologien und Azure-Updates zur kontinuierlichen Weiterentwicklung deines Cloud-Know-hows Das bringen Sie mit erfolgreich abgeschlossene Ausbildung als Fachinformatiker (m/w/d) oder ein Studium im Bereich Informatik, Wirtschaftsinformatik, Computer Science oder einem verwandten IT-Fachmindestens 3 Jahre Berufserfahrung als System Engineer, idealerweise mit fundiertem Know-how in Azure-Infrastrukturlösungen (wie z.
WHAT YOU WILL DO •Role involves both Architecting, implementation planning and executing with some measure of hands-on work •Set up Enterprise monitoring framework and governance •Research on emerging related technologies in support of increased cost effectiveness and flexibility •Product selection inclusive of PoC & RFI/RFP support •Providing strategic directions for standardizing of monitoring landscape and efficient use of resources for proactive application and infrastructure monitoring •Establish and leverage key strategic vendor relationships •Develop and maintain build standards of related services •Design and implement automation initiatives to optimize the current state •Form and lead global virtual teams creating functional touch points with both architecture and operation teams enabling the on-boarding of new product/technologies to improve infrastructure supporting the global strategy •Deliver complex Infrastructure Projects Implementation •Infrastructure Problem Management - provide 3rd level problem management support for relevant Tools and Monitoring services Products you need to be familiar with •Microfocus OML •Splunk •Dynatrace •SCOM •Topaz •IQSonar •Microfocus Sitescope •TeamQuest •IBM Tivoli WHAT YOU SHOULD HAVE •Degree in Computer Science, Information Systems or equivalent experience •Minimum 10 years of experience in IT or related field with a minimum of 5 of those years focusing on enterprise Tools and Monitoring •End-to-end product lifecycle management from strategic planning to tactical activities •Good knowledge of Operating Systems, System Management, Hardware, Big Data, Automation tools and virtualization technologies, interoperation of all these technologies as applicable •Demonstrated skill in critical thinking and problem-solving methods •Demonstrable experience designing highly available, highly scalable production systems •Exposure to Multi cloud infrastructure •Vision for information delivery and management and driving execution of the roadmap, including enterprise data architecture, big data, analytics and data management.