Senior Data Infrastructure Engineer

Company Description

Wix makes it possible for anyone to succeed online. Since 2006, we’ve grown to around 5,500 employees in 22 countries, launched over 40 products, and serve over 243 million users and their visitors worldwide. At Wix, we push you to innovate, evolve in non-traditional ways, and collaborate. We operate in small teams that work closely together at a high level. 

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.

Job Description

As a Senior Data Infrastructure Engineer, you’ll design, build, and maintain scalable data services and infrastructure, helping to automate data processing, quality, and management for hundreds of data professionals.

In your day-to-day, you will:

• Design and develop scalable data services and infrastructure using Python and Scala

• Build and maintain complex data pipelines that process hundreds of terabytes daily using PySpark, Trino, Airflow, and Apache Iceberg

• Lead end-to-end projects within the data infrastructure group, working closely with users and leaders in the Data Engineering Guild

• Collaborate with cross-functional infrastructure teams to build unique and high-quality data platform capabilities

• Stay updated with the latest trends, technologies, and best practices in data engineering and self-serve data platforms

Qualifications

• A Data Engineer or Backend Developer with 5+ years of experience with a focus on Python, data-centric applications, and cloud architecture (AWS services, Kubernetes, etc.)

• Proficient in writing complex SQL queries and developing data pipelines for big data processing

• Independent, self-learner with a passion for data, able to translate business and technical needs into complex architectures and solutions

• Team player with excellent communication skills in both Lithuanian and English

• Experience with modern big data/streaming engines such as Spark, Flink, and Kafka - an advantage

• Experience with Airflow, Great Expectations, data catalogs, data management, and governance practices - an advantage

• Experience building microservices in Python using FastAPI or Flask - an advantage

Additional Information

We are Wix’s Data Infrastructure group, the driving force behind Wix’s big data and analytics platform, one of the most extensive commercial data operations in the tech industry. Each day, we capture, process, analyze, and serve tens of billions of events generated by millions of people worldwide. We build the infrastructure and tools that enable the rest of Wix and its users to access, explore, and analyze this data to make data-driven decisions and build smarter data-driven products.

The Data Automation team specializes in building generic tools and services used by over 400 data professionals at Wix and hundreds more data consumers. Our day-to-day revolves around solving some of the most complex problems in the world of big data platforms and scaling them to Wix’s needs. We empower our engineers to be responsible for the entire product lifecycle, from ideation to production. We value engineering excellence and quality and are constantly looking for ways to learn, improve, and remain at the cutting edge of the industry.

We offer:

• Equity (RSUs) and discount stock purchasing plans (ESPP)

• Health and personal accident insurance

• Daily lunch and snacks at the office

• Commuting allowance

• Discounted phone operator services and compensation for a new phone

• Free exercise classes and wellness activities

• Online courses and professional development

• Fun activities and team events
   

Salary range is 4500 - 7000 Eur GROSS / month (Total package, including equity)