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LSports

Senior Data Engineer

Reposted 12 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in South District, Taichung City
Senior level
In-Office or Remote
Hiring Remotely in South District, Taichung City
Senior level
The Senior Data Engineer will build data infrastructure, manage data pipelines, ensure data integrity, and collaborate across teams while implementing innovative solutions.
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Description

LSports is a world-leading sports data provider, trusted by sportsbooks worldwide to deliver real-time data with unmatched accuracy and reliability. With technology that drives smarter trading and deeper engagement, we empower bookmakers to grow, innovate, and stay ahead of the game.

If you’re passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data – We are looking for a talented Senior Data Engineer.

What You’ll Do:

  • Building a robust data collection and measurement infrastructure for the department and linked products
  • Taking ownership of major projects from inception to deployment.
  • Implementing a systematic approach for saving and managing scraper data.
  • Enabling efficient data access for support teams
  • Architecting simple yet flexible solutions and then scaling them as we grow.
  • Establishing a strong data framework to support the department and linked products future developments
  • Collaborating with cross-functional teams to ensure data integrity, security, and optimal performance across various systems and applications.
  • Staying current with emerging technologies and industry trends to recommend and implement innovative solutions that enhance data infrastructure and capabilities.

Requirements
  • 5+ years of experience as a Data Engineer.
  • 3+ years of experience in object-oriented development.
  • 3+ years of experience using Spark.
  • Experience building and maintaining production grade data pipelines, and working in distributed architectures.
  • Knowledge and understanding of work in a modern CI environment: Git, Docker, K8S.
  • Experience with ETL tools: AWS Glue/Apache Airflow/Prefect, etc.
  • Experience with big data like Iceberg, ClickHouse or similar.
  • Experience with Kafka.

Bonus Points if you have:

  • Experience with designing and implementing big data infrastructure.

Life at LSports

We’re honest with each other and open to new ideas. We challenge ourselves to excel, knowing that good relationships never come at the expense of professionalism. We’re dynamic, always growing and improving to stay on top.

Come join a team that’s all about winning together, with integrity and heart.


All the Extras You Deserve
  • Health insurance
  • Professional development with skills-based courses
  • Hybrid work model (Wallaballa)
  • Cibus
  • Birthday day off
  • Access to ‘Group Hug’ platform
  • Fun company and team social events
  • Dog-friendly Office
  • Kids Summer Camp

Top Skills

Apache Airflow
Aws Glue
Clickhouse
Docker
Git
Iceberg
Kafka
Kubernetes
Prefect
Spark

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