Data Engineer II
McKinsey & Company, Inc.
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
Qualifications
- 2+ years of experience in enterprise technology architectures across OT and IT.
- Strong understanding of Industrial IoT and smart manufacturing concepts.
Responsibilities
- Engage in digital transformation initiatives for manufacturing clients.
- Design and implement technology architectures integrating OT and IT.
Skills
Education
Tools
Job description
Your Growth
As an IIoT / Industry 4.0 Analyst consultant at QuantumBlack, you will work in multi-disciplinary environments harnessing data and technology to provide real-world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
You will experience the best environment to grow as a technologist and a leader.
You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.
You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams.
You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.
Your Impact
As an Industry 4.0 Analyst, you will engage in digital transformation initiatives for manufacturing clients, partnering with core teams to assess the current state of digital maturity for analytics and digital use cases, develop target-state data and technology architectures, along with roadmaps for building scalable tech stacks.
You will design and implement enterprise technology architectures that integrate Operational Technology (OT) and Information Technology (IT) to support scalable, data-driven digital solutions.
You will conduct technology assessments, vendor profiling, and enterprise architecture blueprinting to enable effective decision-making for clients.
You will collaborate with data science and engineering teams to understand requirements and design scalable architectures for the development, deployment, and sustainment of advanced analytics, AI, and GenAI use cases.
Most importantly, you will work within one of the most talented and diverse teams in the world, fostering innovation and excellence.
Your qualifications and skills
- Bachelor's or master's level in a discipline such as: computer science, electronics / robotics, industrial engineering
- Strong understanding of Industrial IoT, Industry 4.0, and smart manufacturing concepts
- 2+ years of experience in designing and implementing enterprise technology architectures across OT and IT systems
- Knowledge of industrial automation, including SCADA, PLCs, DCS, and edge compute, ISA-95 architecture
- Exposure to data engineering, streaming analytics, and AI/ML applications in industrial settings
- Familiarity with IIoT and cloud platforms (e.g., PTC ThingWorx, AWS, Azure, Google cloud)
- Good presentation and communication skills, with a knack for explaining complex tech concepts and insights to technical as well as non-technical audiences
- Willingness to travel to both domestic and international destinations
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