Data Engineer Team Leader

2 days ago

Netanya Center District, Israel Fetcherr Full time ₪120,000 - ₪180,000 per year

Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We are seeking an experienced
Data Engineer Team Leader
to lead our data engineering efforts and oversee a team of skilled data engineers. This role combines
hands-on technical leadership and team management
, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems—while growing and mentoring a high-performing team.

Responsibilities:

  • Lead a team of data engineers building robust, scalable, and high-performance data pipelines and infrastructure.
  • Design, build, and maintain distributed data processing workflows (batch & streaming).
  • Drive best practices for data quality, validation, testing, and observability.
  • Own and evolve Fetcherr's data architecture in alignment with business and product goals.
  • Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
  • Contribute hands-on to key development tasks and architecture decisions.
  • Recruit, mentor, and grow the data engineering team.

You'll be a great fit if you have...

  • 6+ years of experience in
    data engineering
    , including
    2+ years
    in a
    technical leadership or team lead
    role
  • Strong
    Python
    programming background
  • Advanced
    SQL
    skills and
    data modeling
    experience
  • Proven experience designing and maintaining
    large-scale data platforms
    (hundreds of TBs)
  • Expertise with
    data orchestration tools
    (Airflow, Prefect, or Dagster)
  • Hands-on experience with
    distributed data frameworks
    (Apache Beam, Spark, or similar)
  • Cloud platform experience —
    GCP preferred
    (AWS/Azure acceptable)
  • Familiarity with
    Docker
    and
    CI/CD pipelines
    (GitHub/GitLab)
  • Strong
    communication
    ,
    mentorship
    , and
    collaboration
    skills
  • BSc/MSc
    in Computer Science, Engineering, or a related field
  • Fluent English
    (spoken and written)

Nice to Have

  • Experience with
    Google Cloud Platform
    tools (BigQuery, Dataflow, Pub/Sub)
  • Background working with
    ML pipelines
    or
    data science teams
  • Understanding of
    data contracts
    ,
    lineage
    , and
    versioning tools
  • Knowledge of
    data structures and algorithms
  • Experience optimizing
    pipelines
    and
    databases
    for
    performance and cost
  • Exposure to
    airline, pricing, or GDS systems

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