Diplom-Ingenieur/in (Uni) - Informationsverarbeitung (Theoretische Informatik)

Salary: what employees earn

Actual salary (BA Entgeltatlas), not a pay scale. Median pay of full-time employees subject to social insurance; part-time is not included. The salary in your contract may differ.

• Region: Germany
• Applies to the occupational group KldB 43104 This occupational group covers several occupations, not only this one.
• Data import: October 2026
• Reference period of the figure: not stated in the dataset
• The source states the number of cases and the publication threshold.

Source: BA-Entgeltatlas

More about this figure

Minimum rates are not actual salaries and are listed in the pay scale section.

Your own calculation: hourly rate

Convert your monthly gross pay into an hourly rate. This is a calculation from your own input, not a comparison with the median. Nothing is stored.

Pay scales and minimum rates

These are minimums if the stated scope applies to your employment. This is not legal advice.

Statutory minimum wage

• Statutory

  €13.90 per hour

  valid from 2026-01-01, until 2026-12-31

  § 1 Nr. 1 MiLoV5: „ab 1. Januar 2026 13,90 Euro brutto je Zeitstunde“

Source: Fifth Minimum Wage Adjustment Ordinance (MiLoV5), Federal Law Gazette 2025 I No. 268 · As of 2026-10-27

Upcoming rates (1)

• Statutory

  €14.60 per hour

  valid from 2027-01-01 · upcoming

  § 1 Nr. 2 MiLoV5: „ab 1. Januar 2027 14,60 Euro brutto je Zeitstunde“

Source: Fifth Minimum Wage Adjustment Ordinance (MiLoV5), Federal Law Gazette 2025 I No. 268 · As of 2026-10-27

Terms explained

Generally binding collective agreement (AVE)

A collective agreement that the labour ministry has declared binding for all employers in a sector – even without union membership.

Framework agreement (Manteltarifvertrag)

Sets general working conditions such as working hours, leave and notice periods, not the level of pay.

Pay agreement (Entgelttarifvertrag)

Sets how much is paid per pay grade.

Pay grade (Entgeltgruppe)

The classification by task and qualification. It decides which amount in the pay table applies to you.

Career: possible moves

Occupations people move to from this one. Every rating shows how it was derived.

• Data Architect

  IT & Data

  Editorially selected · Dataset as of 2026-05-24

  Rating: schwer

  about 18 months

  Derivation

  What you bring: Data Analytics, Excel (Advanced), Java, Python, SQL, Technische Dokumentation

  What is still missing: Architecture, Cloud, database_administration, Medical Documentation, Requirements Engineering, Stakeholder-Management

  According to the dataset: qualification paths

  Show qualification routes (6)

  • IT-Architektur
    1 option

    • IHK-/Kammer-Zertifikatslehrgang
      Description from the dataset

      Technische Informatik-Grundlagen sind bereits vorhanden/übertragbar. Architekturmuster für Daten- und IT-Systemarchitektur werden neu aufgebaut; anerkannte Zertifikatslehrgänge zu Enterprise- oder Daten-Architektur bei IHK oder Hochschule vermitteln strukturiert Referenzmodelle und Entwurfsprinzipien.

  • Cloud-Technologien
    1 option

    • IHK-/Kammer-Zertifikatslehrgang
      Description from the dataset

      Cloud-Kompetenz wird neu aufgebaut. Eine herstellerneutrale Cloud-Administrator-Zertifizierung oder ein Fachschulkurs zu Cloud-Grundlagen (IaaS, PaaS, SaaS, Sicherheitskonzepte) schafft das nötige Fundament für architektonische Entscheidungen in hybriden Umgebungen.

  • Datenbankadministration
    1 option

    • Praxiserfahrung
      Description from the dataset

      SQL-Kenntnisse sind bereits vorhanden/übertragbar. Administrationskompetenz (Backup, Performance-Tuning, Replikation) wird neu aufgebaut durch praktischen Einsatz in Projekten; Herstellerdokumentationen und Fachschulkurse zur Datenbankadministration ergänzen die Praxis.

  • Medizinische Dokumentation
    1 option

    • Praxiserfahrung
      Description from the dataset

      Dieser Gap ist für eine Data-Architect-Rolle im allgemeinen Umfeld nicht zwingend relevant. Falls das Zielunternehmen im Gesundheitswesen tätig ist, wird domänenspezifisches Wissen zu ICD-Kodierung und Dokumentationsstandards neu aufgebaut — z. B. durch interne Einarbeitung oder Fachliteratur.

  • Requirements Engineering
    1 option

    • IHK-/Kammer-Zertifikatslehrgang
      Description from the dataset

      Technische Dokumentationskompetenz ist bereits vorhanden/übertragbar. Systematisches Requirements Engineering (Erhebung, Analyse, Spezifikation von Anforderungen) wird neu aufgebaut; eine anerkannte Requirements-Engineering-Zertifizierung bei einer akkreditierten Fachschule oder Hochschule vermittelt Methoden und Notation.

  • Stakeholder-Management
    1 option

    • Praxiserfahrung
      Description from the dataset

      Stakeholder-Management wird neu aufgebaut durch zunehmende Übernahme von Kommunikations- und Koordinationsaufgaben in Projekten. Seminare zu Kommunikation und Verhandlungsführung bei Berufsverbänden oder Fachschulen unterstützen die strukturierte Entwicklung dieser Kompetenz.

  Check this switch
• Machine Learning Engineer

  IT & Data

  Editorially selected · Dataset as of 2026-05-24

  Rating: schwer

  about 24 months

  Derivation

  What you bring: Data Analytics, Excel (Advanced), Java, Problem Solving, Python, software_development, SQL, Technische Dokumentation

  According to the dataset: qualification paths

  Show qualification routes (3)

  • Cloud-Infrastruktur
    1 option

    • IHK-/Kammer-Zertifikatslehrgang
      Description from the dataset

      Cloud-Kenntnisse werden über eine herstellerneutrale Cloud-Administrator-Zertifizierung oder einen Hochschullehrgang zu verteilten Systemen erworben. Inhalte: Containerisierung, verwaltete Dienste, Infrastruktur als Code, Skalierung von ML-Workloads. Programmierkenntnisse und Software-Engineering-Hintergrund sind übertragbar.

  • Machine Learning
    1 option

    • Studium
      Description from the dataset

      Machine-Learning-Kompetenz wird über ein Hochschulmodul oder einen postgradualen Lehrgang (z. B. Masterstudiengang Data Science oder KI) erworben. Inhalte: überwachtes und unüberwachtes Lernen, neuronale Netze, Modellbewertung, Feature Engineering. Mathematisch-algorithmische Grundlagen aus dem Informatikstudium sind stark übertragbar.

  • Medizinische Dokumentation
    1 option

    • Praxiserfahrung
      Description from the dataset

      Medizinische Dokumentation ist für einen Machine-Learning-Engineer kein typischer Kernbereich; dieser Gap ist mutmaßlich kontext-spezifisch (z. B. Healthcare-ML). Grundlegendes Verständnis wird durch Einarbeitung in fachspezifische Datenstrukturen und Kodierungssysteme (ICD, SNOMED) erworben, sofern das Einsatzfeld dies erfordert.

  Check this switch
• Solution Architect

  IT & Data

  Editorially selected · Dataset as of 2026-05-24

  Rating: schwer

  about 24 months

  Derivation

  What you bring: Data Analytics, Java, Python, Technische Dokumentation

  According to the dataset: qualification paths

  Show qualification routes (8)

  • Software- und Systemarchitektur
    1 option

    • Praxiserfahrung
      Description from the dataset

      Architekturkompetenz — Entwurfsmuster, Schnittstellendesign, Systemintegration — baut sich durch aktive Beteiligung an Architekturentscheidungen in Projekten auf. Einschlägige Fachliteratur und Berufsverbands-Communities ergänzen das Selbststudium; das technische Informatik-Fundament ist übertragbar, die Anwendungs-Architekturpraxis wird neu aufgebaut.

  • Cloud-Plattformen und -Architektur
    1 option

    • IHK-/Kammer-Zertifikatslehrgang
      Description from the dataset

      Cloud-Grundlagen und Architekturprinzipien lassen sich über herstellerneutrale Cloud-Administrator- oder Cloud-Architect-Zertifizierungen bei anerkannten Bildungsträgern erwerben. Das Informatik-Grundlagenwissen ist übertragbar; cloud-spezifische Dienste und Deployment-Modelle werden neu aufgebaut.

  • Medizinische Dokumentation und Regulatorik
    1 option

    • Praxiserfahrung
      Description from the dataset

      Medizinische Dokumentationsstandards und regulatorische Anforderungen (z.B. Medizinprodukteverordnung, klinische Dokumentation) werden am effektivsten durch Mitarbeit in Health-IT-Projekten und ergänzendes Fachstudium erworben; wird neu aufgebaut.

  • Partner- und Kundenkommunikation
    1 option

    • Praxiserfahrung
      Description from the dataset

      Strukturierte Kommunikation mit externen Partnern, Kunden und Stakeholdern entsteht durch regelmäßige Übernahme von Schnittstellenfunktionen in Projekten. Kurzseminare zu Präsentation und Verhandlung bei IHK oder Fachschulen können ergänzen; wird neu aufgebaut.

  • Qualitätsmanagement
    1 option

    • IHK-/Kammer-Zertifikatslehrgang
      Description from the dataset

      Qualitätsmanagementsysteme, Normenkenntnis und Prozessoptimierung werden in IHK-Zertifikatslehrgängen zu Qualitätsbeauftragten oder -managern vermittelt. Die technisch-analytische Basis ist übertragbar; normierte QM-Systematik wird neu aufgebaut.

  • Requirements Engineering
    1 option

    • IHK-/Kammer-Zertifikatslehrgang
      Description from the dataset

      Requirements Engineering — Erhebung, Analyse und Spezifikation von Anforderungen — lässt sich über anerkannte Requirements-Engineering-Zertifizierungen bei Hochschulen oder neutralen Fachverbänden erwerben. Das analytische Denkvermögen ist übertragbar; strukturierte Anforderungsdokumentation wird neu aufgebaut.

  • Stakeholder-Management
    1 option

    • Praxiserfahrung
      Description from the dataset

      Stakeholder-Identifikation, -Analyse und -Kommunikation werden primär durch Projektverantwortung erlernt. Ergänzend bieten IHK-Seminare zu Projektmanagement oder Kommunikation einen methodischen Rahmen; wird neu aufgebaut.

  • Strategisches Denken
    1 option

    • Praxiserfahrung
      Description from the dataset

      Strategisches Denken entwickelt sich durch Übernahme von Verantwortung für übergeordnete Ziele — etwa in der Produktentwicklung oder der IT-Strategie. Entsprechende Weiterbildungsmodule in betriebswirtschaftlichen oder Management-Lehrgängen an Hochschulen können strukturierend wirken; wird neu aufgebaut.

  Check this switch

Further paths have not been researched reliably yet.

Where else you can go

Routes many people do not think of straight away. Every statement names source and date; what is missing reads “not documented yet”.

• Bachelor Professional in IT (IT project lead)

  You lead IT projects and teams and take on staff responsibility. The exam combines a specialisation, people management and your own IT project.

  Why you fit

  Your degree in information processing counts as a related degree. You bring software development, data analysis and project experience.

  The route there

  Further training and exam

  Chamber exam in four parts: specialisation, people management and HR, IT fields of action, IT project. Admission: at least 90 ECTS in a related degree plus two years of fitting work experience, or five years of work experience. The procedure must be completed within three years.

  Source: IHK Region Stuttgart, Bachelor Professional in IT · As of 2026-11-01 (retrieved)

  Duration

  not documented yet

  Cost

  not documented yet

  Funding

  not documented yet

  Salary

  not documented yet

  Particulars

  The Bachelor Professional in IT replaces the Certified IT Project Manager. According to IHK Heilbronn-Franken, admissions to the old qualification are closed because a new regulation took effect on 01.11.2024.

  Source: IHK Heilbronn-Franken, Certified IT Project Manager · As of 2026-11-01 (retrieved)

  Your next step: Ask your chamber whether your diploma plus work experience is enough for admission and which specialisations it offers.

  Save
• Master in Data Science (machine learning focus)

  You build and evaluate models for data and machine learning. The programme deepens computer science, mathematics and statistics.

  Why you fit

  Algorithms and mathematical foundations from your studies are the core of the field. You already bring Python and SQL.

  The route there

  Further training and exam

  Example University of Marburg (applies in Hesse): Master of Science Data Science. Admission through an aptitude procedure. It requires credits in computer science and mathematics, part of them with competences from the module Machine Learning, and English skills. You put together the computer science part from advanced modules, for example in machine learning.

  Source: University of Marburg, Data Science (M.Sc.) · As of 2026-11-01 (retrieved)

  Duration

  not documented yet

  Cost

  not documented yet

  Funding

  not documented yet

  Salary

  not documented yet

  Your next step: Read the admission rules of your preferred university and compare them with your transcript.

  Save
• Master in IT Security (information security)

  You design and test secure IT systems. The programme is research-oriented.

  Why you fit

  You know algorithmics, specification and modelling from theoretical computer science. They are compulsory subjects in the master.

  The route there

  Further training and exam

  Example University of Lübeck (applies in Schleswig-Holstein): Master of Science IT Security, taught in English, research-oriented. Restricted admission with proof in mathematics, computer science and security, plus the university's E-Test. The curriculum lists, among others, communication and system security, algorithmics, and specification and modelling; the programme consists mainly of electives, plus a case study and the master's thesis.

  Source: University of Lübeck, Master IT Security · As of 2026-11-01 (retrieved)

  Duration

  not documented yet

  Cost

  not documented yet

  Funding

  not documented yet

  Salary

  not documented yet

  Your next step: Compare the entry requirements of two or three universities with your credits.

  Save

Show more routes (5)

• Distance master in business informatics

  You link IT with business administration and shape information systems in companies. The programme can be taken part-time alongside work.

  Why you fit

  Your computer science background meets the subject entry requirements. The business modules add what you lack for consulting and management.

  The route there

  Further training and exam

  FernUniversität in Hagen (applies in North Rhine-Westphalia): Master of Science in business informatics, run by the faculties of economics and of mathematics and computer science. Part-time can be arranged individually. Admission with a degree in business informatics, computer science or economics and proof in computer science and mathematics; missing content can be made up beforehand as a guest student.

  Source: FernUniversität in Hagen, Master Wirtschaftsinformatik · As of 2026-11-01 (retrieved)

  Duration

  not documented yet

  Cost

  not documented yet

  Funding

  not documented yet

  Salary

  not documented yet

  Your next step: Check the university's enrolment requirements against your certificate.

  Save
• Patent attorney

  You advise on inventions and industrial property rights and represent clients before offices and courts. You combine technology and law.

  Why you fit

  A technical university degree is required. Software and computer science inventions are part of the field.

  The route there

  Further training and exam

  Admission by the German Patent and Trade Mark Office, then training in industrial property: a stage in a patent attorney firm or a company patent department, then at the DPMA, then at the Federal Patent Court. As a rule, you study general law in parallel. The qualification ends with the patent attorney exam.

  Source: German Patent and Trade Mark Office, patent attorney training · As of 2026-11-01 (retrieved)

  Duration

  not documented yet

  Cost

  not documented yet

  Funding

  not documented yet

  Salary

  not documented yet

  Particulars

  There is an alternative route: after long advisory work in a patent department or firm, you can be admitted to the exam without the regular training. A degree in general law is required for this route too.

  Source: German Patent and Trade Mark Office, patent attorney training · As of 2026-11-01 (retrieved)

  Your next step: Read the DPMA leaflet on training and the exam, and apply for admission only after you have clarified a firm placement.

  Save
• Teaching computer science as a career changer (Berlin)

  You teach computer science at a school and train as a teacher alongside work. After the preparatory service you hold full career qualification.

  Why you fit

  Computer science is on Berlin's list of subjects in demand. A university diploma is admitted for the in-service formats.

  The route there

  Further training and exam

  In Berlin: with a diploma, master or magister you apply for the in-service training formats if at least one Berlin school subject can be assigned. For grammar schools and integrated secondary schools, credit volumes in the main and second subject count. Computer science is on the shortage list for general schools, which is set anew each school half-year.

  Source: State of Berlin, Senate Department for Education: career changers · As of 2026-11-01 (retrieved)

  Duration

  The in-service preparatory service in Berlin lasts 18 months, with 17 teaching hours per week. Prior in-service studies, where needed, are not quantified on the page.

  Source: State of Berlin, Senate Department for Education: career changers · As of 2026-11-01 (retrieved)

  Cost

  not documented yet

  Funding

  not documented yet

  Salary

  not documented yet

  Your next step: Check the current Berlin job advertisement to see whether computer science is listed for the current school half-year.

  Save
• Founding a company with the EXIST start-up grant

  You develop an innovative start-up project in a team at a university or research institution. The university supports you with mentoring and infrastructure.

  Why you fit

  Software, algorithms and data analysis are viable foundations for a start-up. Your university degree is a target group of the programme.

  The route there

  Further training and exam

  not documented yet

  Duration

  not documented yet

  Cost

  not documented yet

  Funding

  Funding goes to students, graduates up to 5 years after their degree and research staff up to 5 years after leaving, also in teams of up to 3 people. A team may also include one person whose degree dates back more than 5 years. The university or research institution is the applicant; it provides a workplace free of charge for one year, and a mentor supports the project. The application goes through the project executing agency Jülich. The grant is a monthly allowance for living costs, and funding lasts 12 months.

  Source: BMWE, EXIST start-up grant fact sheet (as of November 2025) · As of 2026-11-01 (retrieved)

  Salary

  not documented yet

  Your next step: Talk to a university's start-up service before you work out a concept.

  Save
• Academic career and doctorate

  You research at a university, teach and qualify further with a doctorate. Theoretical computer science is a classic research field.

  Why you fit

  Your university degree is the usual basis for a doctorate. Methodical and theoretical work counts most here.

  The route there

  Further training and exam

  not documented yet

  Duration

  not documented yet

  Cost

  not documented yet

  Funding

  not documented yet

  Salary

  not documented yet

  Particulars

  Under the Act on Fixed-Term Contracts in Science, fixed-term employment for your own scientific qualification is permitted for up to six years before the doctorate and up to six years after it. The maximum period extends by two years per child under 18.

  Source: § 2 Abs. 1 WissZeitVG · As of 2026-11-01 (retrieved)

  Your next step: Approach a research group whose topic fits your focus, and read the faculty's doctoral regulations.

  Save

What matters to you

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Financial situationSecurity & predictabilityWork environment & belongingRecognition & competenceGrowth & self-determination

Without a selection you get a general orientation: salary, collective agreements, skills, career and knowledge are in the sections of this page. Choose above what matters to you and we will point you to the matching places.

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• Financial situation: Salary, Pay scales
• Security & predictability: Pay scales, Job market
• Work environment & belonging: No data
• Recognition & competence: Skills
• Growth & self-determination: Career, Skills

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