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Data Engineer - Developer Platform

Wixתל אביב-יפו, מחוז תל אביב, ישראלמהמשרדFull-timeדרגה: דרגת ביניים

פורסם אתמול · 43 מועמדים

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תובנת Willbi

התפקיד במילים פשוטות

התפקיד כולל תכנון, בנייה ותחזוקה של צינורות מידע (pipelines) ומודלים של נתונים עבור מחסן הנתונים (DWH) ותהליכי ייצור. העבודה היום-יומית כוללת ניהול תזמון ב-Apache Airflow מקצה לקצה, עבודה צמודה עם אנליסטים ומנהלי מוצר, ושימוש קבוע בכלי AI וסוכני קידוד לתהליכי פיתוח, בדיקות וניפוי שגיאות.

חובה
  • 3+ years in data engineering or a similar data-focused engineering role
  • Strong hands-on Python skills
  • Strong hands-on SQL skills
  • Deep, hands-on Apache Airflow experience, including ownership of production DAGs at scale
  • Proven track record of building and running code in large scale production environments
יתרון
  • Experience running data workloads in containerized or Kubernetes-based environments
  • Experience with large-scale or distributed processing using Spark / PySpark
  • Experience with query engines such as Trino
  • Experience with CI/CD and software engineering best practices
  • Experience building internal tooling or agents on top of LLMs

חולץ מתיאור המשרה · מתעדכן אוטומטית

למי זה מתאים

התפקיד מתאים למהנדסי נתונים עם לפחות 3 שנות ניסיון, שליטה מעמיקה ב-Python, SQL ו-Airflow, וניסיון מעשי בעבודה שוטפת עם כלי AI. התפקיד פחות מתאים למי שמחפש עבודה מרחוק, שכן נדרשת נוכחות מלאה של 5 ימים בשבוע במשרד.

תיאור המשרה המלא

המשרה המקורית · נשמר לעיון

We’re looking for a Data Engineer to join the team that makes Wix a data-driven company.

Our team builds the data infrastructure and products that support Wix’s key developer experiences.

You’ll own the pipelines, models, and tools that power decisions across the company.

This is a role for someone who combines business thinking with strong engineering skills and works with AI as part of their daily workflow. We expect you to be comfortable with AI coding agents and use them to improve development, testing, documentation, and debugging.

You’ll work closely with the business analysts, product managers, and stakeholders to understand the business needs behind the data, and turn them into reliable, production-grade data solutions.

Job Description

• Design, build, and maintain robust pipelines feeding both DWH and production processes

• Own pipeline orchestration in Apache Airflow end to end, including DAG design, monitoring, alerting, and production reliability

• Design the data models behind our core domains and the contracts that downstream consumers depend on

• Partner with business analysts, PMs, and business stakeholders to translate product and business questions into stable, qualified, and well-modeled data

• Work with a variety of data sources including product events, application data, APIs, operational databases, logs, and third-party systems

• Debug and solve data quality, pipeline, performance, and reliability issues

• Use and create AI agents and LLM-based tooling to improve development, testing, documentation, and root cause analysis

• Be part of the team and adopt effective ways of using AI tools in the engineering workflow

**

At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level.

Qualifications

• 3+ years in data engineering or a similar data-focused engineering role

• Strong hands-on Python and SQL skills, with the ability to write clean, performant, and maintainable code

• Proven track record of building and running code in large scale production environments

• Deep, hands-on Apache Airflow experience, including ownership of production DAGs at scale

• Deep data modeling expertise and the ability to design clean, scalable data assets that hold up as the business changes

• Strong business and product orientation. You care about what the metric means, not just whether the job succeeded

• Experience working with PMs, analysts, and business stakeholders to understand requirements and build the right data solutions

• Practical experience using AI coding agents and LLM-based tools as part of your daily engineering workflow

• Experience working with large and varied data sources including product events, application data, APIs, operational databases, logs, and third-party systems

• Strong debugging and problem-solving skills around data quality, pipeline failures, performance, and reliability

Nice to have

• Experience running data workloads in containerized or Kubernetes-based environments

• Experience with large-scale or distributed processing using Spark / PySpark

• Experience with query engines such as Trino

• Experience with CI/CD and software engineering best practices

• Experience building internal tooling or agents on top of LLMs

Additional Information

Wix makes it possible for anyone to succeed online. Since 2006, we’ve grown to around 5,300 employees in 22 countries, launched over 40 products, and serve over 299 million users and their visitors worldwide. At Wix, we push you to innovate and evolve in non-traditional ways. We operate in collaborative, high-performing teams, building cutting-edge products and leveraging AI to redefine how our users create, manage and grow their dreams online.

Although we’re already industry leaders in web creation and business, our work is nowhere near done. Our goal is to become the main engine of the Internet so we can create a more open web for all.

We're proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful, online. This same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.

אודות Wix
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Wix
פורסם אתמול · 43 מועמדים
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