Ukrainian Speaking Customer Service Agent (m/f/d) Berlin Home Office Concentrix Doctoral student (m/f/d) in Computational Galaxy Formation Potsdam Vollzeit Leibniz Institut für Astrophysik
Zendesk
Home Office
Zendesk sucht einen Data Engineer II - AI Agents zur Verstärkung des Insights-Teams, das sich auf die Entwicklung intelligenter Analysen und datengesteuerter Erkenntnisse für KI-gestützte Kundenerlebnisse konzentriert. In dieser Rolle sind Sie für den Aufbau und die Optimierung von Datenpipelines, Services und Infrastruktur verantwortlich, die die KI-gesteuerten Erkenntnisse des Produkts unterstützen. Sie arbeiten eng mit Data Scientists, Analysten und anderen Ingenieuren zusammen, um skalierbare und zuverlässige Datensysteme zu entwickeln. Die Position bietet die Möglichkeit, die Art und Weise zu gestalten, wie Kunden auf Daten zugreifen und diese nutzen.
At Zendesk, we're dedicated to creating cutting-edge AI agents for customer experience (CX). The Insights team, within AI Agents Advanced, is pivotal in delivering intelligent analytics, contextual insights, and decision-support tools to empower users.
As a Data Engineer on our team, you'll be at the heart of designing and constructing data pipelines, services, and infrastructure that power our product's AI-driven insights. You’ll be working where product engineering, analytics, and AI converge, creating robust, reliable, and scalable data systems that provide real-time and historical insights for our users.
Collaborate 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 perfect for someone who enjoys working with structured and unstructured data, loves solving complex data challenges, and wants to build the foundation for intelligent, customer-facing features.
Your contributions will directly impact how our customers access, interpret, and benefit from data-rich AI agents, enabling them to act confidently and with 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
About Zendesk
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth.
More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.
Interested in knowing what we do in the community? Check out the Zendesk Neighbor Foundation to learn more about how we engage with, and provide support to, our local communities.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's Candidate Privacy Notice explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk’s use of your personal information.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
Ukrainian Speaking Customer Service Agent (m/f/d) Berlin Home Office Concentrix Doctoral student (m/f/d) in Computational Galaxy Formation Potsdam Vollzeit Leibniz Institut für Astrophysik
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