Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.
Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.
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Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.
We are seeking an experienced
Data Engineer Team Leade
r to lead our data engineering efforts and oversee a team of skilled data engineers. This role combines
hands-on technical leadership and team managemen
t, 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
**.
Responsibiliti**
esLead a team of data engineers building robust, scalable, and high-performance data pipelines and infrastructur
e.Design, build, and maintain distributed data processing workflows (batch & streaming
).Drive best practices for data quality, validation, testing, and observabilit
y.Own and evolve Fetcherr’s data architecture in alignment with business and product goal
s.Manage sprint planning, task breakdown, code reviews, and performance feedback for your tea
m.Contribute hands-on to key development tasks and architecture decision
s.Recruit, mentor, and grow the data engineering tea
**m.
Requiremen**
en)Nice to H
ems
ts:6+ years of experience
in data engineer
ing, includin
g 3+ ye
ars in
a technical leadership or team l
ead r
oleStro
ng Pyt
hon programming backgro
undAdvanc
ed
SQL skills a
nd data model
ing experie
nceProven experience designing and maintaini
ng large-scale data platfo
rms (hundreds of T
Bs)Expertise wi
th data orchestration to
ols (Airflow, Prefect, or Dagst
er)Hands-on experience wi
th distributed data framewo
rks (Apache Beam, Spark, or simil
ar)Cloud platform experience
— GCP prefer
red (AWS/Azure acceptab
le)Familiarity wi
th Doc
ker a
nd CI/CD pipeli
nes (GitHub/GitL
ab)Stro
ng communicat
io
n, mentors
hip, a
nd collaborat
ion ski
llsBSc/
MSc in Computer Science, Engineering, or a related fi
eldFluent Engl
ish (spoken and writt
aveExperience wi
th Google Cloud Platf
orm tools (BigQuery, Dataflow, Pub/S
ub)Background working wi
th ML pipeli
nes
or data science te
amsUnderstanding
of data contra
ct
s, line
age, a
nd versioning to
olsKnowledge
of data structures and algorit
hmsExperience optimizi
ng pipeli
nes a
nd databa
ses f
or performance and c
