Senior Data Engineer
Cisco is hiring a Senior Data Engineer in Krakow, Poland. Level rates it ; you can apply on Cisco.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- Tools and skills the posting cites include Apache Pinot, Apache Iceberg and Flink.
- Level classifies it as a senior role.
- Level lists 1,400+ other open roles at Cisco.
AI in this role
Design and implement high-scale data architectures and streaming pipelines for the Webex Partner Hub analytics ecosystem.
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 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.
How we rate this
Senior Data Engineer at Cisco rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Pay
- Typical data engineer job
- $148k
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
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data architecture was part of your work. What did you do?
- Tell me about a project where streaming was part of your work. What did you do?
- Walk me through how you've used Apache Pinot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Distributed Systems, Data Architecture, Streaming, and Apache Pinot. 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.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new data engineer jobs by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step