Data Engineer
AI in this role
Meet the Team
Cisco's Webex Engineering Group is redefining the future of collaboration. We're building a world where people connect effortlessly to enjoy modern, uncompromised collaboration across every room, desk, pocket, and application.
Our technology powers industry-leading products like Slido, Webex Meetings, Webex Calling, and Webex Contact Center. As a member of our team, your work will ensure every user gets a truly immersive experience regardless of device or location, empowering the hybrid working patterns of the future.
Our team is based in Bratislava. We operate a hybrid working model.
Your Impact
As a Data Engineer, you will contribute to the design, implementation, and maintenance of scalable data pipelines. You will work closely with senior engineers to build robust, efficient solutions for streaming and batch processing, gaining hands-on experience with our production tech stack. Your work will directly impact the insights available to our partners through Partner Hub Analytics, helping them optimize their operations and improve their experience.
Key Responsibilities
Design, implement, and maintain data pipelines for both streaming and batch processing with guidance from senior team members.
Develop and optimize data workflows using Apache Pinot, Apache Iceberg, Flink, and Spark.
Participate in the full software development lifecycle, including design discussions, code reviews, and testing.
Improve data pipeline performance, reliability, and observability by identifying and resolving technical issues.
Leverage AI coding tools (e.g., Copilot, Cursor) to accelerate your productivity and learning.
Collaborate closely with software engineers, product management, and data teams.
Participate in incident resolution and learn from production issues through postmortems.
Commit to continuous learning, data quality, and operational excellence.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
3+ years of professional data engineering or software engineering experience (or equivalent internship/project experience).
Foundational knowledge of data processing frameworks (e.g., Spark, Flink) and/or distributed systems.
Solid understanding of software development and architecture concepts with a willingness to learn new technologies quickly.
Preferred Qualifications
Familiarity with Apache Pinot, Apache Iceberg, Flink, or Spark.
Familiarity with Java, Python, or Scala.
Familiarity with Git, CI/CD pipelines, and cloud environments.
Familiarity with AI coding tools (e.g., Codex, Cursor, Copilot).
Eagerness to learn how to debug and resolve production data issues.
Ability to apply creative skills to complex data problems.
Flexible, thrives in diverse team environments, and communicates clearly and precisely.
Strong attention to detail and a commitment to continuous learning and quality results.
Collab Hiring
Why Cisco?At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
How we score this
Data Engineer at Cisco scores 20 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Copilot hands-on?
- Walk me through how you've used Cursor in your day-to-day work.
- What are the limits of Codex that you've run into, and how did you work around them?
Adapt your resume
- List these exact terms on your resume: Copilot, Cursor, and Codex. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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