Join the Wrike Team as a Senior Data Engineer

Are you ready to be part of the most powerful work management platform in the industry? At Wrike, we are dedicated to helping teams and organizations collaborate, create, and excel every day. By bringing everyone and all work into one place, we aim to remove complexity, increase productivity, and let people focus on the tasks that truly matter.

Our Vision

Our goal is simple: to create a world where everyone is free to focus on their most purposeful work, together. We invite you to join us on this journey.

Come Join the Wrike Family

At Wrike, we believe that work should be both challenging and enjoyable. As a rapidly growing company, we offer excellent opportunities for professional growth. Our talented and energetic team is smart, passionate, friendly, and professional. If you share these qualities, we want to hear from you.

Role Overview: Senior Data Engineer

We are seeking a Senior Data Engineer to build and maintain a reliable and scalable data infrastructure. This role involves designing and maintaining clean data sources for business analysis. You will conceptualize, design, and develop data pipelines and services, contributing to our data platform as a strategic asset that drives business decisions across Wrike.

Job Scope and Responsibilities

• Own data assets and pipelines that provide actionable insights into customer behavior, product performance, GTM strategies, and other key business functions.
• Design, develop, and maintain scalable data pipelines and transformations using data from various engineering and business systems (e.g., Salesforce/CPQ, NetSuite, Marketo).
• Collaborate with analysts to improve data models that feed business intelligence tools, increasing data accessibility and driving adoption of data-driven decisions.
• Deploy ML models with Data Science teams according to best practices of the ML lifecycle, and improve our AI infrastructure.
• Implement processes to manage data quality, ensuring production data is accurate and maintains SLAs.

Experience Requirements

• 7+ years of experience in building and maintaining data pipelines in data-heavy environments.
• Strong proficiency in Python and advanced working knowledge of SQL.
• Extensive experience with Data Warehousing Solutions (BigQuery, Redshift, Snowflake, Vertica).
• Experience with Data Pipeline Orchestration tools (Airflow, Dagster, Prefect).
• Confidence in using Git, CI/CD, and containerization.
• Experience with Google Cloud Platform or AWS and database architecture.

Desired Skills

• Experience with major B2B vendor integrations (e.g., Salesforce/CPQ, NetSuite, Marketo).
• Good understanding of Data Modelling techniques.
• Knowledge of Python Data Libraries (Pandas, SciPy, NumPy, Sci-Kit Learn, TensorFlow, PyTorch).
• Experience with Data Quality Tools, Monitoring, and Alerting.
• Familiarity with Data Streaming technologies (Google Pub/Sub, Apache Kafka, Spark Streaming).
• Experience building analytic solutions in a B2B SaaS environment.
• Experience partnering with go-to-market, sales, customer success, and marketing teams.

Interpersonal Skills

• Excellent communication and collaborative demeanor.
• Ability to work in distributed, multi-functional, multinational teams.
• Capability to articulate points of view and foster a fun and productive team environment.

Perks of Working with Wrike

• 25 days of holidays.
• Cafeteria bonuses (Benefit Plus).
• Meal vouchers (220CZK/working day).
• Sick leave compensation.
• Private healthcare membership (Canadian Medical).
• Pension plan.
• Mobile tariffs.
• “Lítačka” transportation annual coupon reimbursement.
• Multisport card.
• Parental leave.

Who Is Wrike and Our Culture

We are a team of innovators and creators solving the complex