EnskAI is a SaaS platform built specifically for football agencies and is on the path to becoming football’s operating system. We help agents across the globe manage players, deals, contracts, requests, and operational data in one place. Our customers rely on the platform daily, so data reliability, performance, and security are critical.
We work with multiple internal and external football data sources. Turning that data into something clean, consistent, well documented, and usable is one of the most important parts of our product, especially as more AI driven functionality is built on top.
The role
We are looking for a Junior Data Engineer with 1–3 years of experience who wants to take on more responsibility and grow quickly.
What you will work on
You will work on production data pipelines and legacy infrastructure that directly power customer facing features and AI tools. This is a demanding role with real ownership, suited for someone who enjoys responsibility, problem solving, and learning fast.
Designing, implementing, and monitoring ETL pipelines and data flows
Managing and improving data pipelines fed by multiple sources:
External APIs
Scrapers
Internal and user generated data
Consolidating data into a single, clean, and reliable source of truth
Cleaning, structuring, and documenting data so it is reliable for customer use and ready for AI driven automation
Supporting performance optimization for scalable data solutions
Working with Airflow or similar workflow orchestration tools
Optimizing and gradually improving legacy data infrastructure
Quickly identifying data issues and fixing them at the root cause
Treating data security as a top priority in all solutions
What we are looking for
1–3 years of experience in data engineering or a related role, ready for the next step
Strong SQL skills
Experience with Python
Experience building or maintaining data pipelines
Familiarity with Airflow or similar tools
Experience or interest in web scraping
Comfortable working with messy or imperfect data
A self starter who improves practices instead of waiting for instructions
Open to working with AI tools such as Claude or similar as part of daily work
Perfect command of English
Nice to have
Experience with GCP or other cloud vendors
Experience using data frame libraries
Passion for football
What we offer
A small, highly focused international team with direct communication and fast decisions
Real ownership over data infrastructure
Exposure to real world data problems at scale
A demanding role with pressure and practical experience from day one
Opportunity to grow into a senior data role over time
How to apply
Send us your CV and a short note explaining why you are interested in the role.
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