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Cisco

Data Engineer

Cisco is hiring a Data Engineer in Krakow, Poland. Level rates it ; you can apply on Cisco.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this data engineer role: an ordinary role that requires AI tools.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Copilot, Cursor and Codex among its tools and skills.
  • Level classes it as a mid-level role.
  • Cisco has 1,400+ other open roles on Level.

AI in this role

Design and maintain scalable data pipelines and streaming workflows while utilizing AI coding assistants.

CopilotCursorCodexApache PinotApache IcebergFlinkSparkGit
data-engineeringetldistributed-systemspythonjava

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.



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 rate this

Data Engineer at Cisco rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLDistributed SystemsPythonJavaCopilotCursorCodex

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$146k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where python was part of your work. What did you do?
  5. Tell me about a project where java was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, ETL, Distributed Systems, Python, and Java. 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.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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