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.
For the design and development of business-critical IT solutions in the enterprise environment, we are looking for your support.Studies in computer science, business information technology, electrical engineering or comparable practical experience in software developmentPractical experience as a software developer in the field of Team Developer or MS-AccessYou have a communicative attitude, are friendly, engaged and flexibleYou enjoy working in a team, are motivated and able to work under pressureGood knowledge of German and English, both written and spokenAs a service-oriented company, creativity and engagement of the employees are particularly important.
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You have several years of experience in building, operating, or further developing data‑driven products—ideally in a sales, marketing, or customer service context.You have solid knowledge in designing and developing cloud‑based data products such as data warehouses, semantic layers, analytical models, and reporting and analytics solutions.You possess strong knowledge of data architectures, data engineering, data science, and data governance.You bring experience in leading interdisciplinary teams both functionally and disciplinarily—ideally including Data Engineers, Data Scientists, Product Owners, and Data Governance roles.You demonstrate strong analytical and conceptual thinking skills and the ability to prepare complex topics in a structured and understandable way.You communicate effectively and are able to bridge different target groups (business & tech).You work with strong execution and results orientation while ensuring high data quality.You have excellent German and English skills, both written and spoken.
We will need you to possess the following essential qualities and skills: Recognized Degree in IT; Computer Science; Software Engineering, Finance, Business Information Technology or relevant fieldsAbove 3.0 CGPA / Second Class upper (Hons)Less than1-yearofworking experienceHighly self-motivated team player with good analytical and conceptual thinking, results-driven with initiative and good negotiation skillsAll rounded individual with adeepinterest inITindustry who enjoys challenges and strive to work with professionals inITindustry globallyAble to quickly absorb professional knowledge, good inproblem-solving, contribution and leadershipEagerness to take responsibilityovercomplex processes and ability to multitaskExcellent verbal and written English WHAT IS THE PLUS POINT (S) ·Experience inself-initiatedprojects Basic programming skills in any programming language WHAT YOU WILL GET FROM US Great team of IT professionals with global working exposureMeal Card and Flexible Benefits – customized according to individual needsOn-going professional and technical training and certificationsA multicultural environment in modern officesChoose any day for your vacation from earned public holiday (Saturday and ad hoc)Smart casual everydayGlobal internal job opportunities available within DPDHLUnlimited Outpatient MedicalHome office possibilities If you are up to the challenge, contact us today and we will ensure that you will have an experience of a lifetime.
Documentation & Training Develop and maintain system and process documentation.Deliver standard user training for supported applications. Your Profile Bachelor Degree in Computer Science, Business Informatics, or a comparable field.3 years of experience in operating production services and operational services, initial experience in dealing with service providers and advising customersExperience with MES systems (e.g., HydraX, Cronetwork).Proficiency with monitoring and logging tools (Grafana, Kibana).Linux expertise (Debian preferred).Scripting and automation (Bash, Python, Perl).Networking fundamentals and integration knowledge.Containerization (Docker, Kubernetes) and CI/CD pipelines.Virtualization and cloud technologies (VMware, KVM, Azure).SQL database knowledge.Initial experience with service providers and customer advisory.Strong communication skills and knowledge of application management processes.Understanding of business processes in smart factory contexts.Familiarity with service management methods (PMI & ITIL).Proficiency in English.
Tätigkeiten: Potenziale erkennen: Analysiere Kundenanforderungen und entwickle datengetriebene Lösungen – von Analytics über Machine Learning bis GenAI.Strategien entwickeln: Konzipiere individuelle Data-&-AI-Strategien für vielfältige Use Cases.Lösungen skalieren: Entwirf zukunftsfähige Architekturen für Datenplattformen, ML-Pipelines und AI-Systeme.Technologien prüfen: Teste und empfehle passende Technologien, begleite Umsetzungsteams mit klaren Roadmaps.Business ausbauen: Unterstütze Pre-Sales-Aktivitäten, Marktanalysen und die Weiterentwicklung datenbasierter Geschäftsbereiche.Angebote mitgestalten: Bringe deine Ideen in Lösungskonzepte, Kalkulationen und Präsentationen ein.Akademischer Hintergrund: Erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik, Computer Science oder eine vergleichbare Qualifikation.Erfahrung: Mehrjährige Erfahrung in der Konzeption und Umsetzung moderner Datenplattformen, ML-Lösungen und AI-Systeme.Technologiekompetenz: Fundierte Erfahrung mit Azure, Databricks oder AWS sowie in Python, SQL, Docker, CI/CD-Pipelines und Infrastructure as Code.Fachliches Know-how: Tiefes Verständnis moderner Datenarchitekturen, MLOps und Data Governance.Arbeitsweise: Kombination aus konzeptioneller Stärke, analytischem Denken und pragmatischer Hands-on-Mentalität.Kommunikationsstärke: Fähigkeit, komplexe Themen klar und überzeugend zu vermitteln – in Deutsch und Englisch.Flexibilität: Wir bieten dir flexible Arbeitsmodelle mit großzügiger Gleitzeitregelung – wahlweise an einem unserer Standorte oder bis zu 100 % mobil innerhalb Deutschlands.Einarbeitung & Entwicklung: Deine individuelle Einarbeitung und Karriereförderung liegen uns am Herzen.