R&D Engineering Manager – Industrial Data Fabric (m/f/d)

Siemens Mobility; München; Vor Ort; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

Siemens Digital Industries Operations Software is seeking a Technical R&D Lead for Industrial Data Fabric to guide architecture and delivery across Israel and Germany. You will translate product needs into scalable technical designs and drive a high-quality implementation with a globally distributed team.

The role emphasizes leadership, system-level thinking, and building reusable platform components for industrial data and AI-enabled operations.

Qualifikationen

• Shipped data platform components in production.
• Hands-on with semantic technologies: ontologies, knowledge graphs, RDF/OWL or property graphs.
• Cloud-native data infrastructure: streaming, lakehouse patterns, orchestration, and cloud platforms (Azure, AWS).
• Designed and built integrations across heterogeneous OT/IT sources (OPC UA, historians, PLM, SCADA, MES, PLCs).
• People leadership: leading senior engineers across distributed teams and responsible for hiring and mentoring.

Aufgaben

• Technical implementation of the Industrial Data Fabric, including ingestion pipelines, storage, and governance.
• Translate product requirements into concrete technical designs for distributed teams.
• Ensure NFAs (latency, throughput, availability, security) and scalable architecture.
• Make technical decisions across sub-teams and manage escalation when teams are blocked.
• Ensure reusable platform building blocks in customer engagements.

Kenntnisse

Data platform

Semantic technologies

Cloud-native infrastructure

Leadership

Distributed teams

Tools

Neo4j

Amazon Neptune

Kafka

Pulsar

Azure

AWS

OPC UA

Jobbeschreibung

Technical R&D Lead - Industrial Data Fabric (m/f/d)

• Tel Aviv - Tel Aviv - Israel

This position can be based at any Siemens location in Germany(Munich, Erlangen)or Israel.

We are ONE Siemens

Siemens Digital Industries Operations Software is a suite of integrated digital solutions to engineer, simulate andoperate manufacturing operations across industries. Operations Software includes our product portfolio in manufacturing engineering (COMOS,Tecnomatix, NX CAM, ...) & production operations (Win CC, Scada, PCS 7 / neo, Opcenter, Insights Hub, ...). The portfolio helps organizations across many different industries to improve operational efficiency, reduce costs, and enhance decision-making by providing real-time visibility and control across manufacturing and business processes.

Formula 1 cars, ships, mobile phones, space exploration vehicles, food & beverages, pharmaceuticalsand many of the other objects we see in our daily lives are being conceived and produced using our software.

We're redefining the industrial world using data and AI to make production: Agile, Adaptive, Autonomous.Eliminate productivity boundaries for today's and tomorrow's production operation. Join our mission to build the most comprehensive next generation AI-native Industrial Operations Software portfolio as the new operation system for industry in the age of AI. With us you have the chance to now apply AI to where it really matters: In the physical world of an industrial production and engineering of real things.

Position Overview

The Industrial Data Fabric is the foundation of Siemens' AIOperations platform- the layer that connects heterogeneous industrial systems, contextualizes operational data, and makes it available to AI agents and applications in realtime. We are looking for a strong technical leader to define how the DataFabric is built and drive delivery across a globally distributed R&D team. You will work closely with product managers, architects, software engineers, and data scientists to translate the vision into a scalable, high-quality implementation. In addition to technical direction, this role involves directly managing a team across Israel and Germany, with expected team growth ahead.

Responsibilities

• Technical implementation of the Industrial Data Fabric: ingestion pipelines, storage, knowledge graph, semantic contextualization, governance & compliance.
• Translating product requirements into concrete technical designs and work breakdowns that distributed teams can execute against. Define how things are built and why.
• E nsuring design and implementation meet the NFRs defined by product management - latency, throughput, availability, security, data quality - and that the architecture can accommodate future requirements as they evolve.
• Technical decision-making across sub-teams and deliveries; escalation point when teams are stuck
• Quality of the technical interface between Data Fabric and its consumers.
• Define and enforce the software development life cycle and high engineering standards.
• Ensuring customer engagements produce reusable platform building blocks, not bespoke one-offs.

Required Experience

• Shipped data platform components in production environments.
• Hands on experience working with semantic technologies: ontologies, knowledge graphs, RDF/OWLor property graphs (e.g., Neo4j, Amazon Neptune, or equivalent) running in production or services delivery.
• Hands-on experience in cloud-native data infrastructure: streaming (Kafka, Pulsar or equivalent), Lakehouse patterns, orchestration, and cloud platforms (Azure, AWS) ;- Experience with edge computing and hybrid cloud/on-premisesdeployments
• Designed and built integrations across heterogeneous industrial source systems: OTand IT,e.g.OPC UA, historians, PLM, SCADA, MES, PLCs
• Peopleleadership experience: technically leading senior engineers across distributedteams, runninghiring, mentoring etc.

Candidate Profile

You arelikely astrong fit if you:

• Think in systems and trade-offs, not just solutions - you see how a data platform decision today constrains the AI layer tomorrow
• Can hold a rigorous technical conversation with a data engineer and a meaningful strategic conversation with a product manager in the same afternoon
• Have shipped industrial or operational software and know what "working in production"actually meansin a factory environment
• Push back constructively when requirements are technically unsound, and do it early
• Document decisions, rationale, constraints - distributed teams cannotoperateon undocumented judgment calls

Join our Digital World

At Siemens Digital Industries Operations Software, flexibility is how we work - hybrid by default, built on trust and autonomy. We build technology that shapes the real world.You'llgrow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial operations software leader.We'recommitted to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!

Our Benefits & Rewards

The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers a wide range of health and wellness benefits to employees.

Our Commitment to Equity and Inclusion

We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe peoplewho'vehad real experiences dealing with being different will excel as leaders.Let'sfoster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Siemens Software. Transform the Everyday