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  • Senior Data Engineer
    New
    Data

    Senior Data Engineer

    Kraków
    76 612 - 95 105 USD/yearGross per year - Permanent
    76 612 - 95 105 USD/yearGross per year - Permanent
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent
    Operating mode
    Hybrid
    Zendesk

    Zendesk

    Zendesk is a global, digital first company on a mission to make the world better—one customer experience at a time. If you're a team player looking for a supportive company that is eager for big ideas, discover why Zendesk is a great place to grow.

    Company profile

    Tech stack

      English

      C1

      SQL

      master

      Snowflake

      advanced

      Python

      advanced

      Business Intelligence

      advanced

    Job description

    The ‘Zendesk Analytics Prototyping’ (ZAP) team is seeking a Senior Data Engineer to support our mission of building a robust data foundation for CRM insights and improving customer support tools. As a Senior Data Engineer, you will work on designing and implementing scalable, high-quality data solutions, collaborating closely with engineering and analytics teams to enhance Zendesk’s operations. This role offers the opportunity to grow your skills in a dynamic environment and make a measurable impact on how Zendesk leverages data.


    What you’ll be doing:

    • Collaborate with team members to define requirements and translate them into scalable data models and pipelines.
    • Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.
    • Build and optimize SQL-based data models using dbt and other ETL tools.
    • Identify and implement improvements in data delivery, processing performance, and system efficiency.
    • Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.


    What you bring to the role

    Basic Qualifications:

    • 5+ years of data engineering experience building, maintaining and working with data pipelines & ETL processes in 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.
    • Programming skills in Python or a similar language, with an emphasis on data transformation and automation.
    • Experience with cloud columnar databases (Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.
    • Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems. This includes identifying bottlenecks, ensuring scalability, and minimizing operational costs in cloud-based data environments.
    • Excellent communication and collaboration skills.


    Preferred Qualifications:

    • SnowPro Core certification or equivalent hands-on expertise.
    • Familiarity with Lean/6 Sigma principles and an understanding of CRM analytics.


    Our Data Stack:

    ELT (Snowflake, dbt, Airflow, Kafka)

    BI (Tableau, Looker)

    Infrastructure (AWS, Kubernetes, Terraform, GitHub Actions)

    76 612 - 95 105 USD/year

    Gross per year - Permanent

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