Jobs at Daimler Truck AG

Design, build, and maintain scalable data pipelines on Snowflake. Implement ingestion, transformation, and integration from multiple sources; optimize Snowflake performance; ensure data quality and security; document architecture; monitor and troubleshoot pipelines. Collaborate with analysts, data scientists, and stakeholders. Use ETL/ELT tools and cloud services, with experience in medallion architecture and data modeling.

Lead sourcing and commodity strategies for axles and forgings, drive cost reductions, raw material planning, supplier risk mitigation, contract management, cross-functional alignment, and implement reporting to ensure QCD and process compliance.

Lead development and implementation of Total Quality Management (TQM) for R&D: define KPIs, map and redesign processes, drive culture change, deliver TQM training, coordinate cross-functional teams, and conduct internal quality audits with corrective action plans.

Design, build, and maintain data pipelines and ETL processes; ensure data quality and availability; collaborate with cross-functional teams to support analytics and reporting; implement data solutions and support data platform operations.

No substantive description provided. Responsibilities and duties are unspecified in the posting.

No substantive responsibilities provided. The job description contains only the word "test."

The posting contains placeholder text and provides no real responsibilities. No actionable duties or deliverables are described.

Generic Daimler Truck position template. Company overview, team introduction, responsibilities (4–7 task keywords), employee benefits (compensation, pension, remote/flexible work, health, learning), and qualifications (degree, experience, knowledge, English fluency, teamwork). Role may be fixed-term and encourages diverse applicants.

No substantive responsibilities or qualifications are listed. The job posting contains only placeholder text ('s').

No substantive responsibilities or qualifications provided. The posting contains only placeholder text and offers no actionable job details.

No responsibilities or qualifications provided. Title indicates an integration-related role, but the job description contains only placeholders and no substantive details.

No substantive responsibilities provided. The job description contains only the word "test" for responsibilities and qualifications.

No meaningful responsibilities or qualifications provided. The posting appears to be a withdrawn test listing referencing an apprentice (azubi).

Implement and support SAP S/4HANA Controlling (CO) solutions: configure cost center/profit center accounting, internal orders, CO-PA, material ledger, product costing; design integrations with SD/MM/PP; deliver functional specs, WRICEF objects, reporting, migrations, and month-end controlling activities.

Lead product strategy, lifecycle management, homologation, and regulatory compliance for trucks and buses across Southeast Asia. Drive market analysis, product launches, localization, marketing communications, and cross‑functional collaboration. Oversee homologation, certification, test documentation, customer trials, and dealer/distributor alignment while managing people development, profitability analysis, and regional forecasting.

Act as the Time & Attendance single point of contact: manage swipe data and attendance validation, handle leave entitlements and payroll inputs, maintain shift schedules, support employee queries, ensure attendance hardware functions, manage joiner/exiter records, and prepare leave and attendance reports across locations.

Generic internal job posting for Daimler Truck describing team mission, benefits (remote and flexible work, pension, health, learning), typical qualifications (degree, experience, language skills), and limited-term contract options. Encourages diverse applicants and provides contact info for HR and disability support.

Design and lead the data science architecture covering ingestion, storage, processing, ML model lifecycle, deployment, governance, security, and performance. Collaborate with cross-functional teams, evaluate technologies, mentor engineers and data scientists, and oversee implementation and monitoring of large-scale data science solutions.

Perform testing-related tasks. The job description provides no further details about responsibilities.

No substantive responsibilities provided. The posting contains only the placeholder text 'test' under responsibilities and qualifications.