Staff Data Engineer

Key Skills

Aartificial intelligence, Amazon RedShift, AWS, Data Analytics, Data Biuld Tool - dbt, Data Engineering, Data Warehousing, Database, Employee life cycle, ETL frameworks, Github, Google BigQuery, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Python Programming, Scala Programming, Snowflake, Software Development, SQL, Terraform

Job Description

Who we’re looking for:

The ‘Zendesk Analytics Prototyping’ (ZAP) team is looking for an experienced Staff Data Engineer to support the team’s charter to accelerate CRM measurements and insights, and help promote a data-centric approach to improving customer support tools and operations. To realize that mission, we build and maintain robust, fine-grained, and contextually rich datasets, providing a foundation for developing insights that help enhance Zendesk’s support operations.

The role will be responsible for closely partnering with Software Development Engineers and Business Intelligence Engineers to build high quality data pipelines and manage the team’s data lake. You’ll work in a collaborative environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. You will craft and develop curated datasets, applying standard architectural & data modeling practices. You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform.

What you’ll be doing:

• Collaborate with team members and internal stakeholders to understand business requirements, define successful analytics outcomes, and design data models.
• Develop, automate, and maintain scalable ELT pipelines in our Data Warehouse, ensuring reliable business reporting.
• Design & build ELT based data models using SQL & dbt
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery
• Work with data and analytics experts to strive for greater functionality in our data systems

What you bring to the role

Basic Qualifications:

• 8+ years of data / analytics engineering experience building, maintaining and working with data pipelines & ETL processes on big data environments.
• Extensive experience with SQL, ideally in the context of data modeling and analysis.
• Hands-on production experience with dbt, and proven knowledge in modern and classic Data Modeling - Kimball, Inmon, etc.
• Proficiency in a programming language such as Python, Go, Java, or Scala.
• Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Excellent communication and collaboration skills.
• Thrive in ambiguous situations, possesses a proactive problem-solving attitude.

Preferred Qualifications:

• Experience with BigQuery, Snowflake, or similar cloud warehouses.
• Familiarity with AI tools and techniques that could be applied to data analysis and data transformation tasks.
• Completed projects with dbt.
• Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics.

Our Data Stack:

ELT (BigQuery, dbt, Airflow, Kafka)

BI (Tableau, Google Data Studio)

Infrastructure (GCP, AWS, Kubernetes, Terraform, GitHub Actions)

The Poland annualized base salary range for this position is zł268,000.00-zł402,000.00. Please note that while the salary range represents the minimum and maximum base salary rate for this position, the actual compensation offered will be based on job related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives that will be communicated during the offer stage.

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. We advocate for digital first customer experiences—and we stick with it in our workplace. Over 5,000 employees worldwide are collaborating from kitchen tables, home offices, coworking spaces, and Zendesk workspaces to make one team.

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.