Data Engineer Team Lead (AI)

TL;DR

Data Engineer Team Lead (Python/GCP): Leading the data engineering team to build and scale high-performance data infrastructure for real-time pricing and machine learning products with an accent on distributed data processing and system observability. Focus on designing large-scale data platforms, optimizing batch and streaming workflows, and mentoring a high-performing engineering team.

Location: Netanya, Israel

Company

hirify.global is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions through its Large Market Model (LMM).

What you will do

• Manage a team of data engineers to build robust, scalable, and high-performance data pipelines.
• Design and maintain distributed data processing workflows for both batch and streaming data.
• Drive best practices for data quality, validation, testing, and observability.
• Own and evolve the company's data architecture to align with business and product goals.
• Manage sprint planning, task breakdown, code reviews, and performance feedback.
• Contribute hands-on to key development tasks and architecture decisions.

Requirements

• 3+ years of proven experience in people management of data engineering teams.
• 6+ years of experience in data engineering with strong Python, SQL, and data modeling skills.
• Experience designing and maintaining large-scale data platforms (hundreds of TBs).
• Expertise with data orchestration tools (Airflow, Prefect, or Dagster) and distributed frameworks (Apache Beam, Spark).
• BSc/MSc in Computer Science, Engineering, or a related field.
• Fluent English (spoken and written).

Nice to have

• Experience with GCP tools such as BigQuery, Dataflow, and Pub/Sub.
• Background working with ML pipelines or data science teams.
• Understanding of data contracts, lineage, and versioning tools.
• Experience optimizing pipelines and databases for performance and cost.
• Exposure to airline, pricing, or GDS systems.

Culture & Benefits

• Opportunity to work with cutting-edge AI and deep learning technology.
• Environment focused on algorithmic trading and real-time data-driven decision-making.
• Focus on professional growth through mentorship and leading a high-performing team.