Data Engineer (Big Data)

TL;DR

Data Engineer (Big Data/AWS): Building and maintaining high-scale big-data pipelines to process petabytes of data with an accent on turning raw data into usable metrics and scalable data models. Focus on implementing solutions in AWS and Databricks, optimizing PySpark processes, and supporting data science teams for custom customer requests.

Location: Hybrid (Tel Aviv-Yafo, Israel)

Company

A global digital intelligence platform providing cutting-edge data and AI capabilities to over 4,300 customers worldwide.

What you will do

• Build and maintain big-data pipelines for processing petabytes of information.
• Design and implement complex high-scale systems using a large variety of technologies.
• Collaborate with engineers and data scientists on the planning, development, and maintenance of products.
• Implement cloud solutions within the AWS environment and work in Databricks with PySpark.
• Transform raw data into usable metrics and leverage AI models to support custom data labs for premium customers.

Requirements

• BSc degree in Computer Science or equivalent practical experience.
• 3+ years of server-side software development experience in languages such as C#, Go, or Python.
• Experience building large-scale web APIs and working with Microservices architecture.
• Proficiency with AWS and databases including Redis, PostgreSQL, or Firebolt.
• Familiarity with Big Data technologies such as Spark, Databricks, and Airflow.
• Knowledge of ML pipelines and LLM tools and frameworks.

Culture & Benefits

• Hybrid work model combining home flexibility with face-to-face office connections.
• Competitive compensation packages and a strong emphasis on employee well-being.
• Extensive career growth opportunities via Career Week and personalized coaching.
• Inclusive workplace culture committed to diversity, equality, and mutual respect.
• Active community life with regular team outings and happy hours.