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Data Engineer

Cisco Open
Hybrid Krakow Warsaw Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Cisco. Krakow · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationKrakow
WorkplaceHybrid
EmploymentFull-time
PostedOct 13, 2026
Also hiring inWarsaw
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain batch and streaming pipelines, working with senior engineers on efficient, production-ready solutions
  • Create and tune data workflows with Apache Pinot, Apache Iceberg, Flink and Spark
  • Take part in design reviews, code reviews and testing across the software development lifecycle
  • Find and fix issues that affect pipeline speed, reliability and observability
  • Help resolve production incidents and use AI coding tools to support your work and learning

What you bring

  • A bachelor’s in computer science, engineering or equivalent practical experience
  • At least three years in data or software engineering, or equivalent internship or project work
  • Basic knowledge of Spark, Flink or distributed systems, plus a grasp of software design and architecture

Who this fits

This mid-level role suits someone ready to build data pipelines with guidance from senior engineers and contribute to production operations. It is based in Krakow, Poland, with a hybrid work arrangement.

From the employer

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.