Senior Data Engineer

Cisco; Kraków; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Cisco's Webex Engineering Group is seeking a Data Analytics Lead to define the technical roadmap for the Partner Hub analytics platform and to design scalable data architectures. You will drive high-scale data pipelines and mentor teams to deliver secure, performant analytics capabilities.

Collaborating with product management and leadership across a global organization, you will apply Spark, Flink, Pinot, and Iceberg to power predictive analytics and data-driven decisions in a hybrid work

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or related field.
• Extensive data engineering experience leading large-scale data infra projects.
• Proficient with Spark and/or Flink and streaming architectures.
• Strong data modeling and optimization for analytical systems.

Responsibilities

• Define and complete the long-term technical strategy, setting architectural standards for the Partner Hub Analytics platform.
• Lead the design and delivery of scalable, high-performance data pipelines applying Spark, Flink, Pinot, and Iceberg.
• Provide high-level technical guidance and mentorship to engineering teams, encouraging excellence and growth.
• Collaborate with product management to translate complex business requirements into robust data solutions.
• Establish data quality, observability, and reliability standards for platform stability.
• Anticipate data engineering trends and evaluate new technologies to maintain success.

Skills

Spark

Flink

Data modeling

SQL

Data pipelines

Mentoring

Education

Bachelor's or Master’s degree in CS/Engineering

Tools

Apache Pinot

Apache Iceberg

Spark

Flink

AWS

GCP

Azure

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.

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 Analytics lead, you will define the technical roadmap for our Partner Hub analytics ecosystem. You will lead the design and implementation of sophisticated, high-scale data architectures, ensuring our platform remains performant, secure, and resilient. Your leadership will directly shape the evolution of Partner Hub Analytics, providing partners with the tools to optimize their business operations. Acting as the critical link between business strategy and technical execution, you will develop a culture of innovation, engineering rigor, and continuous improvement.

Key Responsibilities

• Define and complete the long-term technical strategy, setting architectural standards for the Partner Hub Analytics platform.
• Lead the design and delivery of scalable, high-performance data pipelines applying Apache Pinot, Apache Iceberg, Flink, and Spark.
• Provide high-level technical guidance and mentorship to engineering teams, encouraging a culture of technical excellence and professional growth.
• Collaborate with product management and multi-functional leadership to translate sophisticated business requirements into robust, scalable data solutions.
• Establish industry-leading standards for data quality, observability, and system reliability to ensure critical platform stability.
• Anticipate data engineering trends and evaluate new technologies to maintain what makes us successful.
• Lead enterprise-wide initiatives, driving alignment on data governance, architecture, and development life cycles.

Minimum Qualifications

• Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related technical field.
• Extensive professional experience in data engineering, with a proven track record of leading large-scale, sophisticated data infrastructure projects.
• Proficiency in distributed data processing frameworks, specifically Spark and/or Flink, with deep knowledge of streaming architectures.
• Advanced expertise in data modeling, and/or database design, and/or performance optimization for large-scale analytical systems.

Preferred Qualifications

• Deep, hands-on experience designing and managing production environments using Apache Pinot and Apache Iceberg.
• Extensive experience architecting and deploying data solutions within major cloud environments (AWS, GCP, or Azure).
• Proven ability to lead technical initiatives and influence cross-functional teams across a global organization.
• Experience integrating AI/ML models into production data pipelines to power advanced predictive analytics.
• Significant experience managing the full lifecycle of mission-critical, high-availability data platforms.
• Demonstrated history of mentoring engineers and fostering high-performance team cultures.
• Exceptional strategic thinking, communication, and stakeholder management skills.

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.