Munich, Bayern, Germany

Senior HR Operations & Process Specialist (m/f/d)

Salary: unknownOn-siteSeniorPeople / HR / recruiting

PayrollProcess improvementCompensationEmployment lawPerformance management

Original posting ↗Apply ↗Company job board ↗

TYTAN Technologies GmbH, a company in aerospace and defense, is hiring for the role of Senior HR Operations & Process Specialist (m/f/d). The work is on-site in Munich, Germany. We classify it as a senior-level role in people / HR / recruiting. English and German are required. Visa sponsorship is not offered. Perks named in the posting: equity. There are 19 open positions from TYTAN Technologies GmbH on this site, 4 of them in IT and engineering.

Posted 20 days ago · Last checked 2026-11-03

About TYTAN Technologies GmbH

Aerospace and defense Non-tech company with an IT team 19 open positions, 21% in IT and engineering. Most open roles: Non-software engineering and technicians (6), Marketing and communications (4), Data and machine learning (2).

All open jobs at TYTAN Technologies GmbH →

Similar jobs

Talent Acquisition Lead (Non-Tech)Jobgether · GermanyRemote (Junior) Personalreferent (m/w/d) - Schwerpunkt RecruitingElectronicPartner Handel SE · Düsseldorf, Nordrhein-Westfalen, DeutschlandHybrid Talent Acquisition Specialist (all genders)Salonkee · Deutschland / BerlinHybrid Senior Learning & Development Specialist (m/f/d)Isar Aerospace SE · Parsdorf, Bavaria, Germany Head of PeopleJobgether · GermanyEUR 100K–120K / year Vice President Human ResourcesARCHIMED · Bremerhaven, Bremen, Germany Senior Talent PartnerLyceum · BerlinOn-site Director of HRvCluster Labs · Remote | Germany | United StatesUSD 170K–220K / year

141 open people / HR / recruiting jobs in Germany All open jobs at TYTAN Technologies GmbH →

Workplace	On-site
Seniority	Senior
Role	People / HR / recruiting
Countries	Germany
Employment type	fulltime_permanent
Key facts	Languages: English, German · Visa sponsorship: no · Security clearance required · Equity

The full description is on the original posting. Labels are set automatically and can be wrong. About the data