Urgent! Data Engineer II - AI Agents Job Opening In Kraków – Now Hiring Zendesk
We, at Zendesk, are on a mission to build the most advanced AI agents in CX, and the Insights team, part of AI Agents Advanced, is focused on one of the product’s most critical pillars: delivering intelligent analytics, contextual insights, and decision-support tools that empower users to take meaningful action.
As a Data Engineer on this team, you’ll be central to designing and building the data pipelines, services, and infrastructure that power our product’s AI-driven insights.
You’ll work at the intersection of product engineering, analytics, and AI — helping to create robust, reliable, and scalable data systems that support real-time and historical insights for our users.
You will collaborate closely with data scientists, analysts, backend and frontend engineers, and product managers to design data models, define integration patterns, and optimize data workflows.
This role is ideal for someone who loves working with structured and unstructured data, thrives on solving complex data challenges, and wants to build the foundation for intelligent, customer-facing features.
Your work will directly shape how our customers access, interpret, and benefit from data-rich AI agents — enabling them to act with confidence and clarity.
3+ years of experience designing and implementing data pipelines and systems in a production environment.
Proficiency with SQL, DBT and at least one general-purpose programming language such as Python.
Experience with batch and stream processing frameworks (e.g., Apache Flink, Apache Spark, Apache Beam, or equivalent).
Experience with orchestration tools (e.g., Apache Airflow)
Familiarity with event-driven data architectures and messaging systems like Pub/Sub, Kafka, or similar.
Strong understanding of data modeling and database design, both relational and NoSQL.
Experience building and maintaining ETL/ELT workflows that are scalable, testable, and observable.
A product mindset — you care about the quality, usability, and impact of the data you work with.
Strong communication and collaboration skills — you enjoy solving problems with others and proactively share your expertise.
Curiosity, humility, and a drive for continuous learning — you seek feedback and growth, and help others do the same.
A Big Plus If You
Have experience working with cloud-based data platforms (GCP or AWS preferred).
Are familiar with Looker or other analytics/BI tools.
Have worked with feature stores or supported ML workflows with production-ready data pipelines.
Understand CI/CD best practices and infrastructure-as-code tools like Terraform.
Are comfortable navigating large-scale distributed systems and production debugging.
You deliver clean, scalable, and reliable data solutions that enable product and AI teams to build on top of.
You write well-tested, well-documented code and continuously improve the performance and reliability of our data systems.
You actively participate in architecture discussions and help define data standards, schemas, and contracts.
You collaborate closely across disciplines and contribute meaningfully to planning, reviews, and team goals.
You grow over time — increasing your technical scope, deepening your understanding of the product, and supporting others through knowledge sharing.
Languages: Python, TypeScript, SQL
Data Engineering: dbt, Airflow, BigQuery, Kafka, Pub/Sub, Astronomer
Storage: BigQuery, MongoDB, Snowflake
Infrastructure: GCP, AWS, Kubernetes, Terraform, ArgoCD
Observability: Sentry, Datadog
BI: Looker
We aim to make our hiring process clear and transparent:
Intro chat with Talent Partner – 30 minutes
Interview with Hiring Manager – 45 minutes
Take-home assignment
Technical interview (task follow-up & role-related) with two engineers – 60 minutes
Bar raiser interview with Hiring Manager and Senior Leadership – 45 minutes
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week.
This role must attend our local office for part of the week.
The specific in-office schedule is to be determined by the hiring manager.
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Kraków, Poland (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Kraków, Poland using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 6394 jobs in Poland and 742 jobs in Kraków. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Zendesk is currently hiring and seeking a Data Engineer II AI Agents to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer II AI Agents Jobs Kraków.
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The fundamental ethical values are:The average salary range for a Data Engineer II AI Agents Jobs Poland varies, but the pay scale is rated "Standard" in Kraków. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your Data Engineer II AI Agents interview at Zendesk, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Zendesk's products or services and be prepared to discuss how you can contribute to their success.
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