AutoScout24
Engineering Manager, Business Technology (m/f/d)
Munich (Germany); Trader CorporationGermany
Manager · IT Operations
POSTED 6 OCTVERIFIED 1D AGO
33 days opentrue age
€127k–€138kno pay posted
- Market p25–p75
- €127k–€138k
33open roles
- Opened · 30d
- +0
- Closed · 30d
- −0
1,956open · Manager Engineering management
- All engineering management
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A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our global community.
We are seeking a highly experienced Engineering Manager to lead the strategy, design, delivery, and operational excellence of integrations, automations, and enterprise platform initiatives across ERP, Billing, Revenue, CRM, HRIS systems. This role requires a strong technical and people leader with deep expertise in enterprise systems, data flows, platform modernization, migration programs, and large-scale delivery execution.
Key Responsibilities
- Lead the design and delivery of enterprise integrations and automation solutions across ERP, Billing, Revenue, CRM, HRIS, and related platforms.
- Define scalable integration patterns, system interfaces, API strategies, data flows, and engineering standards across enterprise applications.
- Apply an AI-first approach to solution development by identifying opportunities to improve automation, operational efficiency, insights, and engineering productivity through AI-enabled capabilities where appropriate.
- Ensure AI-enabled solutions are implemented responsibly, with appropriate governance, security, explainability, and alignment to business objectives.
- Lead system migration initiatives, including transition planning, cutover strategy, dependency mapping, risk management, and business continuity considerations.
- Drive data archival and retention strategies, ensuring compliance, accessibility, cost efficiency, and operational integrity.
- Lead system decommissioning efforts, including impact assessment, transition planning, historical data preservation, and retirement of legacy capabilities.
- Oversee the design and support of data pipelines that enable reliable movement, transformation, and availability of business-critical data across systems.
- Support business reporting and analytical needs by ensuring enterprise data is trusted, well-structured, and accessible for decision-making.
- Manage end-to-end execution of integration and platform programs, including planning, prioritization, dependency management, issue resolution, and delivery oversight.
- Define and enforce deployment, release, and rollback plans to ensure safe production changes, minimal disruption, and rapid recovery when required.
- Lead engineering resources by providing technical direction, coaching, mentorship, and performance management.
- Partner with business and technology stakeholders to translate complex requirements into practical, scalable, and maintainable solutions.
- Establish best practices for documentation, monitoring, support readiness, operational governance, and continuous improvement.
- Ensure solutions are secure, reliable, maintainable, and aligned with enterprise standards and business objectives.
Education, Experience & Technical Skills
- 10+ years of experience in software engineering, enterprise systems, integrations, or business systems technology.
- Significant engineering management experience with strong ownership of team leadership, delivery execution, stakeholder alignment, and technical direction.
- Strong experience designing, troubleshooting, and supporting software systems such as Billing, Revenue, CRM, ERP, HRIS, and related enterprise platforms.
- Broad expertise in database technologies, including enterprise data modeling, transactional and analytical data structures, data storage, performance optimization, and data lifecycle management.
- Strong experience with scripting and automation technologies used to support integrations, operational processes, batch workloads, and platform support activities.
- Experience with reporting, analytics, and enterprise data consumption patterns, including the delivery of trusted data for operational and business insight needs.
- Deep understanding of integration patterns, APIs, middleware, event-driven and service-based architectures, and enterprise automation frameworks.