Fetcherr delivers real-time decision intelligence that lets enterprises price and operate against simulated market dynamics to increase revenue and efficiency. It does this via the Large Market Model…
Fetcherr delivers real-time decision intelligence that lets enterprises price and operate against simulated market dynamics to increase revenue and efficiency. It does this via the Large Market Model…
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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...
Nice to 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)