Power-BI Developer

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.

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.

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.

Shape the Future of AI in KONE Business Services
Are you passionate about Artificial Intelligence, automation, and digital transformation? Do you want to gain real-world experience applying AI technologies to business challenges?

KONE Business Services (KBS) is looking for an
Automation & AI Solutions Intern
to help drive AI and automation initiatives across our global business operations. This is a unique opportunity to work on practical AI use cases and develop automation solutions.

Key Responsibilities

• Identify and evaluate opportunities for AI and automation across business processes
• Support development and testing of AI-powered solutions and proof of concepts
• Create and optimize prompts for Microsoft Copilot
• Build workflows and automations using Microsoft Power Platform (Power Automate)
• Analyze business requirements and translate them into AI and automation use cases
• Collaborate with process owners and analytics teams
• Support AI adoption through training materials, user guides, and demonstrations
• Research emerging AI technologies and recommend new opportunities for implementation

Required Qualifications & Experience
We are looking for a university student
(preferably in Information Technology/Computer Science/Artificial Intelligence/Data Science/Business Informatics/Software Engineering or a related field).

Essentials

• Strong interest in AI, automation, and digital technologies
• Analytical and problem-solving mindset
• Good communication and stakeholder management skills
• Fluent English Language

Preferred

• Experience with Generative AI tools (e.g., Microsoft Copilot, Chat GPT, Claude, Gemini)
• Knowledge of prompt engineering and AI use-case development
• Experience with Microsoft Power Platform:
• Power Automate
• Power Apps
• AI Builder
• Power BI
• Basic understanding of Python, APIs, or low-code/no-code technologies
• Curiosity, creativity, and willingness to experiment with new technologies

Salary
We offer a competitive hourly rate of
7 EUR gross
, along with the chance to gain real-world experience and grow professionally.

Why Join Us
:

At KONE Business Services, we are accelerating the use of Artificial Intelligence and automation to transform how global business services create value. As an intern, you will have the opportunity to contribute directly to innovative solutions that improve productivity, enhance decision-making, and support business growth.

Join us and help shape the future of AI-driven business services.
At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.
Read more on
https://kone.com/global/en/careers.html

Основные обязанности:

• Разрабатывает и внедряет стратегию трансформации SAP, включая стандартизацию технических типов, атрибутов, профилей объектов и приведение классификации активов в соответствие с ISO 14224;
• Стандартизирует структуру активов, включая унификацию иерархии функциональных участков и гармонизацию данных;
• Оптимизирует планы технического обслуживания, устраняя дублирующиеся и устаревшие планы, наряды и заказы;
• Организует и сопровождает миграцию данных SAP S/4HANA, обеспечивая очистку, перенос, валидацию, сопоставление и гармонизацию данных с минимизацией операционных рисков;
• Управляет данными КСУТО, обеспечивая их актуальность, качество, соответствие бизнес-процессам и отраслевым стандартам;
• Осуществляет системное администрирование SAP, включая контроль производительности, интеграции, архитектуры системы и качества интерфейсов данных;
• Разрабатывает и внедряет стандарты управления данными, а также сопровождающую нормативную и методическую документацию;
• Определяет, контролирует и анализирует KPI, связанные с качеством данных, эффективностью процессов технического обслуживания и своевременностью обработки изменений;
• Обеспечивает поддержку тестирования и стабилизации SAP S/4HANA, включая UAT, интеграционное тестирование и сопровождение после ввода системы в эксплуатацию;
• Разрабатывает рекомендации по управлению ведомостями материалов (ВМ), обеспечивая их корректную привязку к функциональным участкам и поддержку процессов планирования запасных частей и технического обслуживания.

Требования к квалификации:

• Образование в области информационных технологий / программирования процесса управления данными;
• 10 лет международного опыта работы в соответствующей сфере в нефтегазовой отрасли;
• Опыт оказания поддержки подразделениям по техническому обслуживанию по использованию SAP в качестве компьютеризированного инструмента управления техническим обслуживанием;
• Опыт обеспечения взаимодействия Primavera с SAP является преимуществом; подход, ориентированный на оказание поддержку пользователям КСУТО;
• Английский язык: не ниже Intermediate.

Условия:
Атырау, 5/2

Срок подачи резюме: 05.08.2026
Резюме направлять на почты: kushayeva.a@kpop.kz/mirlan.b@kpop.kz