CEWE Stiftung & Co. KGaA

Job Offers

Business environment

Medium-sized company
Group environment
International environment

Benefits

The possibility to do part of your weekly work from mobile work / home office
- A variety of further training opportunities, including a wide range of in-house seminars and training courses
- An employee share programme and a company pension scheme sponsored by CEWE
- Support with child care in our company day care centre "cewelino" in Oldenburg
- Further extensive social benefits (e.g. special leave days, annual voucher for the CEWE clothing shop, child holiday care and many more)
- Comprehensive offers of company health promotion (e.g. bicycle leasing, health courses, psychosocial counselling, Hansefit)

Major enterprise more than 1000 employees

founding year

1961

Language competence required

Deutsch: Self-guided speech application (B2)
Expert language skills (C1)
(Approximate) Native language skills (C2)
Advanced language use (B1)
Englisch: English language skills are not required
Elementary speech application (A1 / A2)
Advanced language use (B1)
Self-guided speech application (B2)
Expert language skills (C1)
(Approximate) Native language skills (C2)
Further language skills are not required

Education qualifications:

We are open to all degrees

We are specifically looking for the following location(s)

Remote:

Yes

We are looking for employees with the following professional & functional competence profile

Entry (after further training) – 01c
Entry (after studies with < 3 years of work experience) – 01d
Professional (experience > 3 years) – 01e
Management (without leadership experience) – 01f
Management (with leadership experience) – 01g
Lateral entry – 01a
Entry (expertise self-taught) – 01b

Biology / Chemistry / Pharmaceutics
Entry (expertise self-taught) – 04b
Entry (after further training) – 04c
Entry (after studies with < 3 years of work experience) – 04d
Professional (experience > 3 years) – 04e
Management (without leadership experience) – 04f
Management (with leadership experience) – 04g
Lateral entry – 04a

Content & Influencer Marketing
Management (with leadership experience) – 06g
Entry (expertise self-taught) – 06b
Entry (after further training) – 06c
Entry (after studies with < 3 years of work experience) – 06d
ProfProfessional (experience > 3 years) – 06e
Management (without leadership experience) – 06f
Lateral entry – 06a

Data Analytics
Entry (expertise self-taught) – 07b
Entry (after further training) – 07c
Entry (after studies with < 3 years of work experience) – 07d
Professional (experience > 3 years) – 07e
Management (without leadership experience) – 07f
Management (with leadership experience) – 07g
Lateral entry – 07a

Data Science & Artificial Intelligence
Management (with leadership experience) – 08g
Entry (expertise self-taught) – 08b
Entry (after further training) – 08c
Entry (after studies with < 3 years of work experience) – 08d
Professional (experience > 3 years) – 08e
Management (without leadership experience) – 08f
Lateral entry – 08a

Digital Marketing & Sales
Entry (expertise self-taught) – 10b
Entry (after sfurther training) – 10c
Entry (after studies with < 3 years of work experience) – 10d
Professional (experience > 3 years) – 10e
Management (without leadership experience) – 10f
Management (with leadership experience) – 10g
Lateral entry – 10a

Digital transformation (innovations)
Entry (after further training) – 11c
Entry (after studies with < 3 years of work experience) – 11d
Professional (experience > 3 years) – 11e
Management (without leadership experience) – 11f
Management (with leadership experience) – 11g
Lateral entry – 11a
Entry (expertise self-taught) – 11b

E-Commerce
Management (with leadership experience) – 13g
Entry (expertise self-taught) – 13b
Entry (after further training) – 13c
Entry (after studies with < 3 years of work experience) – 13d
Professional (experience > 3 years) – 13e
Management (without leadership experience) – 13f
Lateral entry – 13a

Electrical engineering and information technology
Entry (after further training) – 14c
Entry (after studies with < 3 years of work experience) – 14d
Professional (experience > 3 years) – 14e
Management (without leadership experience) – 14f
Management (with leadership experience) – 14g
Lateral entry – 14a
Entry (expertise self-taught) – 14b

Finance / Taxation
Management (with leadership experience) -45g
Entry (expertise self-taught) -45b
Entry (after further training) -45c
Entry (after studies with < 3 years of work experience) -45d
Professional (experience > 3 years) -45e
Management (without leadership experience) -45f
Lateral entry -45a

Research & Development
Management (with leadership experience) -46g
Entry (expertise self-taught) -46b
Entry (after further training) -46c
Entry (after studies with < 3 years of work experience) -46d
Professional (experience > 3 years) -46e
Management (without leadership experience) -46f
Lateral entry -46a

Humanities
Entry (expertise self-taught) –15b
Entry (after further training) –15c
Entry (after studies with < 3 years of work experience) –15d
Professional (experience > 3 years) –15e
Management (without leadership experience) –15f
Management (with leadership experience) –15g
Lateral entry –15a

Social sciences
Management (with leadership experience) – 16g
Entry (expertise self-taught) – 16b
Entry (after further training) –16c
Entry (after studies with < 3 years of work experience) – 16d
Professional (experience > 3 years) – 16e
Management (without leadership experience) – 16f
Lateral entry – 16a

Computer science
Entry (expertise self-taught) – 17b
Entry (after further training) –17c
Entry (after studies with < 3 years of work experience) – 17d
Professional (experience > 3 years) – 17e
Management (without leadership experience) – 17f
Management (with leadership experience) – 17g
Lateral entry – 17a

Engineering (others)
Entry (expertise self-taught) – 18b
Entry (after further training) – 18c
Entry (after studies with < 3 years of work experience) – 18d
Professional (experience > 3 years) – 18e
Management (without leadership experience) – 18f
Management (with leadership experience) – 18g
Lateral entry – 18a

Internet of Things (IoT)
Management (with leadership experience) – 19g
Entry (expertise self-taught) – 19b
Entry (after further training) – 19c
Entry (after studies with < 3 years of work experience) – 19d
Professional (experience > 3 years) – 19e
Management (without leadership experience) – 19f
Lateral entry – 19a

IT Security
Management (with leadership experience) – 20g
Entry (expertise self-taught) – 20b
Entry (after further training) – 20c
Entry (after studies with < 3 years of work experience) – 20d
Professional (experience > 3 years) – 20e
Management (without leadership experience) – 20f
Lateral entry – 20a

Communication / PR / media / linguistics and cultural studies
Entry (expertise self-taught) – 21b
Entry (after further training) – 21c
Entry (after studies with < 3 years of work experience) – 21d
Professional (experience > 3 years) – 21e
Management (without leadership experience) – 21f
Management (with leadership experience) – 21g
Lateral entry – 21a

Mathematics
Entry (expertise self-taught) – 23b
Entry (after further training) – 23c
Entry (after studies with < 3 years of work experience) – 23d
Professional (experience > 3 years) – 23e
Management (without leadership experience) – 23f
Management (with leadership experience) – 23g
Lateral entry – 23a

Sustainability / corporate social responsibility (CSR)
Management (with leadership experience) – 27g
Entry (expertise self-taught) – 27b
Entry (after further training) – 27c
Entry (after studies with < 3 years of work experience) – 27d
Professional (experience > 3 years) – 27e
Management (without leadership experience) – 27f
Lateral entry – 27a

Natural sciences (other)
Entry (expertise self-taught) – 28b
Entry (after further training) – 28c
Entry (after studies with < 3 years of work experience) – 28d
Professional (experience > 3 years) – 28e
Management (without leadership experience) – 28f
Lateral entry – 28a

Online Marketing / Social Media Management
Management (with leadership experience) – 29g
Entry (expertise self-taught) – 29b
Entry (after further training) – 29c
Entry (after studies with < 3 years of work experience) – 29d
Professional (experience > 3 years) – 29e
Management (without leadership experience) – 29f
Lateral entry – 29a

Production / manufacturing
Entry (expertise self-taught) – 32b
Entry (after further training) – 32c
Entry (after studies with < 3 years of work experience) – 32d
Professional (experience > 3 years) – 32e
Management (without leadership experience) – 32f
Management (with leadership experience) – 32g
Lateral entry – 32a

Software engineering / software development / coding
Management (with leadership experience) – 33g
Entry (expertise self-taught) – 33b
Entry (afterfurther training) – 33c
Entry (after studies with < 3 years of work experience) – 33d
Professional (experience > 3 years) – 33e
Management (without leadership experience) – 33f
Lateral entry – 33a

Business Informatics
Management (with leadership experience) -50g
Entry (expertise self-taught) -50b
Entry (after further training) -50c
Entry (after studies with < 3 years of work experience) -50d
Professional (experience > 3 years) -50e
Management (without leadership experience) -50f
Lateral entry -50a

Jurisprudence
Entry (expertise self-taught) – 34b
Entry (after further training) – 34c
Entry (after studies with < 3 years of work experience) – 34d
Professional (experience > 3 years) – 34e
Management (without leadership experience) – 34f
Management (with leadership experience) – 34g
Lateral entry – 34a

Robotics
Entry (expertise self-taught) – 35b
Entry (after further training) – 35c
Entry (after studies with < 3 years of work experience) – 35d
Professional (experience > 3 years) – 35e
Management (without leadership experience) – 35f
Management (with leadership experience) – 35g
Lateral entry – 35a

Strategy & Innovation
Entry (expertise self-taught) – 36b
Entry (after further training) – 36c
Entry (after studies with < 3 years of work experience) – 36d
Professional (experience > 3 years) – 36e
Management (without leadership experience) – 36f
Management (with leadership experience) – 36g
Lateral entry – 36a

Traffic / logistics
Management (with leadership experience) – 37g
Entry (expertise self-taught) – 37b
Entry (after further training) – 37c
Entry (after studies with < 3 years of work experience) – 37d
Professional (experience > 3 years) – 37e
Management (without leadership experience) – 37f
Lateral entry – 37a

Distribution & trade
Management (with leadership experience) – 38g
Entry (expertise self-taught) – 38b
Entry (after further training) – 38c
Entry (after studies with < 3 years of work experience) – 38d
Professional (experience > 3 years) – 38e
Management (without leadership experience) – 38f
Lateral entry – 38a

Web design & web development
Management (with leadership experience) – 39g
Entry (expertise self-taught) – 39b
Entry (after further training) – 39c
Entry (after studies with < 3 years of work experience) – 39d
Professional (experience > 3 years) – 39e
Management (without leadership experience) – 39f
Lateral entry – 39a

Wirtschaftsinformatik
Management (with leadership experience) – 41g
Entry (expertise self-taught) – 41b
Entry (after further training) – 41c
Entry (after studies with < 3 years of work experience) – 41d
Professional (experience > 3 years) – 41e
Management (without leadership experience) – 41f

Industrial Engineering and Management
Management (with leadership experience) -49g
Entry (expertise self-taught) -49b
Entry (after further training) -49c
Entry (after studies with < 3 years of work experience) -49d
Professional (experience > 3 years) -49e
Management (without leadership experience) -49f
Lateral entry -49a

Economy / administration
Entry (expertise self-taught) – 40b
Entry (after further training) – 40c
Entry (after studies with < 3 years of work experience) – 40d
Professional (experience > 3 years) – 40e
Management (without leadership experience) – 40f
Management (with leadership experience) – 40g
Lateral entry – 40a

We are looking for employees for the following fields of activity

Administration
Agile / Scrum
Analysis
Occupational Safety
Art / Creative
Business Development
Compliance
Controlling & Planning
Customer Service & Customer Care
Digital Transformation
Diversity & Inclusion
Purchasing / Procurement
Development
Finances
Research
Graphics & Design
Trade
Engineering
Innovation
IT / Information Technology
Communication & PR
Laboratory
Logistics
Management
Marketing & Advertising
Materials Management
Sustainability / Corporate Social Responsibility (CSR)
Human Resources
Planning
Production
Product Management
Project Management
Process Planning / Process Management
Quality assurance / Quality management
Accounting / Bookkeeping
Law
Processing & Administration
Backup & Check
Supply Chain Management
Technology
Therapy
Corporate Governance
Distribution / Sales
Miscellaneous / Other
Statistics

We are looking for employees for the following specific topics and specialist areas

Content participation

CEWE Studio

Edith Schmid-Eisermann
Head of Customer Service, CEWE Stiftung & Co. KGaA
linkedin

Career-MeetUp at the exhibitors boothDE

12/10/2023 02:00 PM - 02:45 PM

MeetUp at the exhibitor stand | Stand L.18

Thread / thematic series: Compatibility, Mentoring & Networking

Joblevel: Career entry, Professional, Leading position, Lateral entry

GROW! Mein Weg zurück aus der Elternzeit hinein ins Entwicklungsprogramm
Was bedeutet Veränderung? Veränderung bedeutet Fortschritt, Veränderung bedeutet Entwicklung aber Veränderung bedeutet auch mutig zu sein, sich selbst zu vertrauen und ggf. Dinge zu tun, die man noch nicht getan hat und bei denen man sich nicht sicher ist, ob es funktioniert und ob es die richtige Entscheidung sein wird! Sehr abgedroschen, aber auch wahr: du wirst es nie herausfinden, wenn du es nicht ausprobierst! Trau dich! Ergreife die Chancen, wenn sie sich zeigen! So ähnlich waren meine Gedanken, als ich firsch aus meiner 2. Elternzeit zurück in meine Vollzeitposition als Head of Customer Service zurückkam und auf das neu konzipierte interne Entwicklungsprogramm „GROW“ aufmerksam wurde.

Details about the speaker Edith Schmid-Eisermann
Vita: Edith Schmid-Eisermann, 34, Mama von 2 kleinen Wirbelwinden, Head of customer service aus München. Sie entschied sich nach der Schule bewusst für eine Ausbildung. Der Wunsch auf eigenen Beinen zu stehe und sich eine eigene Wohnung leisten zu können war groß und das Verlangen in die bayrische Hauptstadt zu ziehen noch größer. Nach 2 Jahren erfolgreich abgeschlossener kaufmännischer Ausbildung, machte sie einen kurzen Abstecher in der Immobilienbranche, bevor sie weiterzog und 2009 bei CEWE startete. Eine sehr ausgeprägte Kundenorientierung und ein fest verankerte Dienstleistungsgedanke, machten den Start im Kundenservice zum perfekten Umfeld. Während sie sich berufsbegleitend zum „Bachelor Professional (CCI) of Marketing“ ausbilden ließ, entwickelte sie sich im Unternehmen von der Mitarbeitenden im Kundenservice im Alter von Mitte 20, zur Abteilungsleitung. Ihre Motivation ist es, ein Arbeitsumfeld zu schaffen, indem der Mensch und deren Stärken im Vordergrund stehen und lebenslanges Lernen zum Alltag gehört. Wahrscheinlich sind diese Gedanken der Grund, warum sie sich selbst in den letzten Jahren zur Trainerin ausbilden hat lasse und eine nächste Weiterbildung im Bereich Organisationspsychologie besuchte. Sie selbst hat den Antrieb immer wieder die Komfortzone zu verlassen und mutig zu sein! Auch in den turbulentesten Zeiten des Lebens ist es möglich persönlichen Wachstum zu erreichen und Träume zu verfolgen. Daher steht Ende dieses Jahrs für ihre Familie das nächste, und neben der Familiengründung, wahrscheinlich das bisher größte Abendteuer an: Ihre 2 und 4 jahre alten Töchter, ihr Mann und sie haben ihre Wohnung aufgegeben, erneut Elternzeit eingereicht und lassen Deutschland für ein Jahr hinter sich. Ein Jahr durch die Welt ist der Plan!

CEWE Studio

Maike Tahden-Springhorn
Data Scientist im Mobile & Artificial Intelligence Campus, CEWE Stiftung & Co. KGaA
linkedin

Future Talk at the exhibitors boothDE

13/10/2023 12:00 PM - 12:45 PM

MeetUp at the exhibitor stand | Stand L.18

Thread / thematic series: Science, Engineering, Digitalization & Technology

Joblevel: Career entry, Professional, Leading position, Lateral entry

Von der Krankenschwester zur Mathematikerin: Meine Arbeit als Frau im MINT-Bereich
Seit 2019 arbeite ich als Data Scientist/Mathematikerin bei CEWE in der Abteilung F & E im sogenannten Mobile Artificial Intelligence Campus (MAIC) – für mich ein absoluter Glücksgriff. Noch nie hat mir meine Arbeit so viel Freude bereitet. Wir vom MAIC entwickeln für unsere Kund:innen und für CEWE innovative Lösungen mit Hilfe neuster Technologien und unterstützen CEWE auf diesem Wege bei künftigen Herausforderungen. Ich lade euch zu einem angeregten Austausch und dem gemeinsamen Erleben unserer Lösungen ein und freue mich darauf, euch vor allen Dingen unsere KI-basierten Applikationen zu demonstrieren, die wir für unsere bedienungsfreundliche Gestaltungssoftware entwickelt haben.

Details about the speaker Maike Tahden-Springhorn
Vita: Nach der Schule habe ich mich zunächst für einen beruflichen Werdegang im sozial-karitativen Bereich entschieden und nach einem Freiwilligen Sozialen Jahr in einem Heim für behinderte Menschen eine Ausbildung zur Gesundheits- und Krankenpflegerin abgeschlossen. Hierbei liebte ich vor allem die Zusammenarbeit mit Menschen – vermisste aber auch mehr und mehr das Lernen, sowie die Mathematik. Mathe war zu Schulzeiten mein absolutes Lieblingsfach; es zu studieren habe ich mich damals allerdings nicht getraut. Nach einem Jahr Arbeit im Krankenhaus als Krankenschwester, habe ich mich zu einem Mathematikstudium durchgerungen und somit eine berufliche Neuorientierung gewagt: es war genau die richtige Entscheidung! Als Studienschwerpunkt wählte ich Statistik und habe nach meinem Abschluss als Statistikerin und wissenschaftliche Mitarbeiterin in der medizinischen Forschung gearbeitet. So konnte ich beide Interessensgebiete -Mathe und Medizin- gut miteinander kombinieren. In der Forschung tätig zu sein hat mir viel Freude bereitet; ich fand es sehr spannend, an höchst aktuellen Themen zu arbeiten. Um mir die Möglichkeit offen zu halten, auch weiterhin in der Forschung tätig sein zu können, habe ich zudem noch promoviert und im Rahmen meiner Doktorarbeit unterschiedliche statistische Verfahren bzw. Methoden des maschinellen Lernens miteinander verglichen. Seit 2019 arbeite ich nun als Data Scientist bei CEWE im sogenannten Mobile & Artificial Intelligence Campus (MAIC) im Bereich Forschung & Entwicklung. Unter Anderem leite ich hier ein Projekt, welches das Ziel hat, unser Team bei der Entwicklung smarter Lösungen für unsere Gestaltungssoftware zu unterstützen.