DevJobs

Senior Data Engineer

Overview
Skills
  • Spark Spark ꞏ 3y
  • Kafka Kafka
  • OOP OOP ꞏ 3y
  • Git Git
  • Docker Docker
  • Kubernetes Kubernetes
  • Airflow Airflow
  • Data Engineering ꞏ 5y
  • AWS Glue
  • ClickHouse
  • Iceberg
  • Prefect

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.



Who You Are:

  • 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 & Udemy account

Hybrid work model (Wallaballa)

Cibus

Birthday day off

Access to ‘Group Hug’ platform

Fun company and team social events

Dog-friendly policy

Kids Summer Camp

LSports