Senior Data Engineer

Join our team at Zendesk QA (formerly Klaus) as a Senior Data Engineer where you will leverage your expertise in data architecture and engineering to build impactful, customer-facing dashboards! We are seeking forward-thinking experts who are passionate about creating impactful, customer-facing dashboards that empower teams to review and analyze their customer interactions effectively. Your skills and contributions will ensure our platform provides valuable insights that help our customers deliver consistent, high-quality customer support, reduce churn, and boost customer satisfaction. Your expertise will play a crucial role in transforming how companies manage and enhance their customer service operations through data-driven decision-making

Our quickly expanding, international team has embraced the innovative mindset from day one. We are looking to expand our team and seeking candidates for a hybrid role based in Estonia


Our Stack

• Looker
• Python
• dbt
• PostgreSQL
• BigQuery
• Github

What You'll Be Doing

• Collaborate with Teams: Work closely with Zendesk QA data scientists, product managers, designers, and researchers to align on product roadmap priorities, ensuring that customer-facing dashboard development meets overarching business goals and user needs.
• Visualization Architect: Take charge of designing and implementing customer-facing dashboards using LookML and BI tools like Looker. Apply your data engineering skills to transform complex datasets into intuitive visualizations, enabling clients to make data-driven decisions and derive actionable insights..
• Define Key Metrics: Analyze and define essential business metrics that will be featured in customer-facing dashboards, ensuring they are relevant, actionable, and aligned with customer objectives.
• Data Integration: Collaborate with backend engineers, analytics engineers, and data engineers to ensure that relevant data sources are seamlessly integrated into the analytical data warehouse, enabling reliable and accurate dashboard outputs.
• Optimize Data Models: Develop and optimize data models using tools such as dbt to define core fact and dimension tables that support effective dashboard functionality and performance.
• ETL Processes: Build and maintain ETL (Extract, Transform, Load) processes to ensure data is efficiently processed and available for dashboard reporting.
• Data Engineering Solutions: Assist in developing and implementing data engineering solutions to support analytics and reporting needs, ensuring that data is readily available and actionable.

Basic Qualifications:

• 3+ years in data engineering or related fields, with a strong emphasis on developing Looker dashboards and building scalable data solutions that drive impactful analytics.
• Proficiency in LookML and SQL, along with experience using BI tools such as Looker, Tableau, or Power BI, demonstrating your ability to create and optimize data models and dashboards that transform complex datasets into actionable insights.
• Solid understanding of data modeling principles and experience in designing and optimizing data structures for reporting and analytics.
• Familiarity with cloud technologies such as AWS, Google Cloud, or Azure, and experience in leveraging cloud-based data warehouses (e.g., BigQuery, Redshift).
• Strong analytical skills with the ability to interpret data and provide strategic recommendations to stakeholders.
• Excellent communication skills, with a proven ability to present data insights clearly and effectively to both technical and non-technical audiences.
• Ability to work optimally in a remote environment, collaborating with geographically dispersed teams and customers.
• Experience in developing and maintaining data pipelines to ensure reliable data flow and availability for reporting and analytics.

Nice to Have:

• Experience with data governance and security best practices to ensure data integrity and compliance.
• Experience with data storytelling techniques to convey insights through compelling visualizations and presentations.
• Familiarity with advanced analytical techniques, including statistical analysis or machine learning concepts, is a plus.

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 were 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 [email protected] with your specific accommodation request.