Career Website
www.iteratec.com
at herCAREER Expo 2024
Halle / hall 3 / P.17
We offer exciting JOBS.
IT / Software / Internet
Consulting / Consultation
iteratec GmbH
As a technology company, iteratec creates new technological and entrepreneurial opportunities. With more than 1,000 successful projects, iteratec is one of the leading experts for digital product innovation, software and architecture development, and digital infrastructures. Founded in Munich in 1996, iteratec currently employs around 500 employees and students at seven locations in Germany and Europe.
Jobs
Business environment
New-work environment with lean hierarchies
Medium-sized company
Major enterprise: up to 250 employees
founding year
1996
Language competence required
Deutsch: Expert language skills (C1)
Englisch: English language skills are not required
Further language skills are not required
Education qualifications:
We are open to all degrees
We are specifically looking for the following location(s)
Baden-Württemberg
Karlsruhe, Stuttgart
Bavaria
Munich
Hamburg
Hamburg
Hesse
Frankfurt am Main
North Rhine-Westphalia
Düsseldorf
Europe except Germany
Austria
Remote:
Yes
We are looking for employees with the following professional & functional competence profile
Cloud Computing
Management (with leadership experience) – 05g
Entry (after further training) – 05c
Professional (experience > 3 years) – 05e
Management (without leadership experience) – 05f
Entry (after studies with < 3 years of work experience) – 05d
Data Analytics
Entry (after studies with < 3 years of work experience) – 07d
Management (without leadership experience) – 07f
Management (with leadership experience) – 07g
Professional (experience > 3 years) – 07e
Data Science & Artificial Intelligence
Management (with leadership experience) – 08g
Professional (experience > 3 years) – 08e
Management (without leadership experience) – 08f
Entry (after studies with < 3 years of work experience) – 08d
Digital Finance / Blockchain
Management (without leadership experience) -42f
Management (with leadership experience) -42g
Entry (after studies with < 3 years of work experience) -42d
Professional (experience > 3 years) -42e
Digital transformation (innovations)
Entry (after studies with < 3 years of work experience) – 11d
Management (without leadership experience) – 11f
Management (with leadership experience) – 11g
Professional (experience > 3 years) – 11e
Computer science
Management (without leadership experience) – 17f
Management (with leadership experience) – 17g
Entry (after studies with < 3 years of work experience) – 17d
Professional (experience > 3 years) – 17e
Engineering (others)
Entry (after studies with < 3 years of work experience) – 18d
Internet of Things (IoT)
Management (with leadership experience) – 19g
Professional (experience > 3 years) – 19e
Management (without leadership experience) – 19f
Entry (after studies with < 3 years of work experience) – 19d
IT Security
Management (with leadership experience) – 20g
Professional (experience > 3 years) – 20e
Management (without leadership experience) – 20f
Entry (after studies with < 3 years of work experience) – 20d
Mathematics
Management (without leadership experience) – 23f
Management (with leadership experience) – 23g
Entry (after studies with < 3 years of work experience) – 23d
Professional (experience > 3 years) – 23e
Software engineering / software development / coding
Management (with leadership experience) – 33g
Professional (experience > 3 years) – 33e
Management (without leadership experience) – 33f
Entry (after studies with < 3 years of work experience) – 33d
Business Informatics
Management (with leadership experience) -50g
Professional (experience > 3 years) -50e
Management (without leadership experience) -50f
Entry (after studies with < 3 years of work experience) -50d
Web design & web development
Management (with leadership experience) – 39g
Entry (after further training) – 39c
Entry (expertise self-taught) – 39b
Professional (experience > 3 years) – 39e
Management (without leadership experience) – 39f
Lateral entry – 39a
Entry (after studies with < 3 years of work experience) – 39d
Wirtschaftsinformatik
Management (with leadership experience) – 41g
Entry (after studies with < 3 years of work experience) – 41d
Professional (experience > 3 years) – 41e
Management (without leadership experience) – 41f
We are looking for employees for the following fields of activity
Agile / Scrum
Analysis
Consultation / Consulting
Business Development
Digital Transformation
Development
Innovation
IT / Information Technology
Project Management
We are looking for employees for the following specific topics and specialist areas
Information technology
App development, Blockchain, Cloud Computing, Data Analytics, ata Science, Database Administration, Database Development / Data Warehouse / Business Intelligence / Big Data, Data Protection, Digital Transformation, Embedded Systems / Firmware Development, Internet of Things (IoT), IT Security, Software development, UI / UX, Web Development, Business Informatics, Other: IT, Product Development / Produkt Management
Content participation
Imke Wagner
Product Owner & Agile Coach, iteratec GmbH
linkedin
Career-MeetUpDE
18/10/2024 02:15 PM - 03:00 PM
MeetUp P.16 | Halle / hall 3
Thread / thematic series: Personality and competence development, Career & Job Application
Joblevel: Career entry, Professional, Leading position, Lateral entry
Aufstehen, Backlog richten, weitermachen - mein Weg von der Entwicklerin zur Projektleiterin
In dieser Session erzählt Imke von ihrem Werdegang - vom Studium bis hin zur verantwortungsvollen Rolle als Projektleiterin und ihrem Wirken in der strategischen Arbeit bei iteratec. Es geht, um den Mut, die eigene Komfortzone zu verlassen und neue berufliche Rollen zu entdecken. Aber auch darum, dass der Sprung ins kalte Wasser nicht immer gelingt und wie wichtig es ist zu erkennen, wenn eine Rolle nicht (mehr) zu einem passt. Imke teilt mit euch ihre Stolpersteine und Unsicherheiten, denen sie auf ihrem Weg begegnet ist, und wie sie damit umgegangen ist.
Details about the speaker Imke Wagner
Vita: Imke Wagner hat Medizinisch-Technische Informatik an der Hochschule Reutlingen studiert, wo sie sich in ihrer Masterarbeit mit dem Einsatz von Blockchain im medizinischen Bereich befasste. Sie arbeitet als Product Owner bei iteratec, einem IT-Dienstleister für innovative Softwareentwicklung und anspruchsvolle Digitalisierungsprojekte mit über 500 Mitarbeitenden. Außerdem ist sie Teil der strategischen Arbeit bei iteratec. Imke Wagner verfügt über mehrjährige Erfahrung in agilen Methoden und der fachlichen Leitung von Projektteams.
Alona Sydorova
Senior Data Engineer, iteratec GmbH
linkedin
Career-MeetUpDE
17/10/2024 12:15 PM - 01:00 PM
MeetUp P.16 | Halle / hall 3
Thread / thematic series: Personality and competence development, Science, Engineering, Digitalization & Technology
Joblevel: Career entry, Professional, Lateral entry
„Irgendwas mit Daten“ – Was machen eigentlich Data Engineers, Data Scientists und Machine Learning Engineers?
Wünschst du dir mehr Klarheit in der Welt der Data-Berufe? Fragst du dich, was genau hinter den Begriffen Data Engineer, Data Scientist und Machine Learning Engineer steckt? Welche Aufgaben diese Jobs umfassen und welche Rollen in einem erfolgreichen Data-Projekt unentbehrlich sind? Was ist überhaupt ein Data-Projekt und welche konkreten Herausforderungen gilt es zu meistern?
Dieses MeetUp richtet sich an alle, die sich in der komplexen Data-Welt besser orientieren möchten. Alona bietet praxisnahe Einblicke in den Alltag und die Herausforderungen dieser spannenden Berufsfelder. Lass dich inspirieren und entdecke die faszinierende Welt der Daten!
Details about the speaker Alona Sydorova
Vita: Alona hat Informatik an der Ludwig-Maximilians-Universität in München studiert, wo sie sich in ihrer Masterarbeit mit der Erklärbarkeit von KI-Modellen im Bereich Natural Language Processing befasste. Sie arbeitet als Senior Data Engineer bei iteratec, einem IT-Dienstleister für innovative Softwareentwicklung und anspruchsvolle Digitalisierungsprojekte mit über 500 Mitarbeitenden. Alona Sydorova verfügt über mehrjährige Erfahrung in agilen Machine Learning und Data Engineering Projekten, hält Vorträge zu Data-Themen und gestaltet zusammen mit ihren Teammitgliedern Workshops und Trainings im Bereich Data Engineering.
