Data Engineer

A disruptive Marketing-Tech Startup that has built a specialized "Growth-as-a-Service" platform designed for technology-driven enterprises. By providing high-intent, "warm" leads and managing the entire demand-generation infrastructure from web design to program management the company enables R&D teams to focus exclusively on their core products.

The platform serves a prestigious portfolio of major US corporations across Cyber Security, Healthcare, and Enterprise Software.

Located in a prime Tel Aviv tech hub (adjacent to a train station), the company fosters a data-centric culture and operates under a hybrid work model.

• The Role & Responsibilities -
• Data Architecture: Designing, building, and maintaining robust data pipelines to process and analyze massive datasets from diverse sources.
• System Optimization: Ensuring the reliability and performance of Big Data environments to support real-time business intelligence and customer delivery.
• End-to-End Pipeline Ownership: Taking full responsibility for the data lifecycle—from ingestion and transformation to storage and accessibility.
• Strategic Collaboration: Working closely with Backend and Product teams to translate complex marketing logic into scalable data solutions.
• Innovation: Implementing cutting-edge tools and methodologies to improve data quality and processing efficiency.

Requirements -

• Academic Foundation: B.Sc. in Computer Science, Software Engineering, or a related technical field – Mandatory.
• Professional Depth: At least 4 years of intensive experience as a Data Engineer – Mandatory.
• Python Mastery: Expert-level proficiency in Python for data manipulation and automation – Mandatory.
• Big Data Expertise: Proven track record of working with Big Data technologies and distributed systems at scale – Mandatory.
• Analytical Mindset: Strong problem-solving skills with the ability to handle complex data architectures.