Data Engineer

541 Cisco Systems Poland sp. Z o.o.; Kraków; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

Cisco is building a data-driven future and seeks a Data Engineer to design, implement, and maintain scalable data pipelines across streaming and batch workloads in Kraków. You will work with Apache Pinot, Apache Iceberg, Flink, and Spark, collaborating with software and data teams to deliver insights via Partner Hub Analytics.

The role covers the full software lifecycle, incident learning, and continuous improvement, with a hybrid work model and focus on data quality and learning new

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.

Responsibilities

• Design, implement, and maintain data pipelines for streaming and batch processing.
• Develop and optimize data workflows using Pinot, 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 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.

Skills

Data engineering

Spark

Flink

Python

Java

Scala

Distributed systems

Education

Bachelor's degree

Equivalent experience

Tools

Apache Pinot

Apache Iceberg

Flink

Spark

Git

CI/CD

Cloud

Job description

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. Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn't just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life’s best work.