Atlaslive is a software development company, delivering the highest quality program solutions for the iGaming business. Based on in-house built proprietary core Platform and its components, the company creates pioneering solutions to automate the work of thousands of employees to maximize the profit and increase quality of product.
3 вересня 2025

Senior Data Engineer (вакансія неактивна)

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Atlaslive is a dynamic iGaming platform that provides the best quality software solutions for iGaming business. We create a live connection between business ambitions and opportunities. Atlaslive is recognized worldwide as one of the leading Sportsbook Platforms, as well as the Best Sports Betting Provider and a Rising Star in Sports Betting Technology within the CEE, Baltic and Nordic markets. Atlaslive, the tech behind the game.

We are looking for a Senior Data Engineer to join our data platform team. You will play a critical role in designing, building, and optimizing scalable data pipelines and infrastructure in the cloud. This is a hands-on role focused on advanced data engineering using AWS and Python.

Requirements:

  • 5+ years of experience in Data Engineering
  • Strong experience with AWS ecosystem (e.g., S3, EMR, Glue, Redshift, Lambda, Step Functions, Athena)
  • Proficient in Scala (must-have) and Python
  • Hands-on experience with Spark (especially PySpark or Scala Spark)
  • Strong knowledge of data modeling, data warehousing, and performance tuning
  • Experience with workflow/orchestration tools like Airflow, Dagster, or similar
  • Familiarity with DevOps practices, version control (Git), and CI/CD tools
  • Strong SQL skills and understanding of relational and NoSQL databases

Responsibilities:

  • Design and implement robust, scalable, and efficient data pipelines using AWS cloud services
  • Work with large-scale distributed systems and real-time streaming data
  • Collaborate with data scientists, analysts, and developers to enable data-driven decision-making
  • Optimize performance and reliability of ETL/ELT processes
  • Manage and improve data infrastructure, ensuring data quality, security, and availability
  • Develop reusable code libraries and frameworks in Scala, Python.
  • Implement CI/CD for data workflows and infrastructure-as-code

Nice to have:

  • Knowledge of streaming platforms such as Kafka or AWS Kinesis.
  • Familiarity with machine learning workflows and model deployment.
  • Previous experience in a leadership or mentorship role.

The Interview Process:

  • 30/45 minute Recruiter call.
  • 60 min call with CTO and HRD.

Career Growth & Opportunities:

  • Become part of a global leader in iGaming innovation.
  • Access to professional development programs and industry events.
  • Opportunity to work with top-tier experts in cutting-edge technology.
  • Drive real impact in a fast-growing international market.
  • Flexible career progression within a scalable and adaptable platform.

Working Conditions:

— Vacation: 22 working days per year, plus official public holidays.

— Sick Leave:

*5 paid sick days annually (no certificate required).

*Up to 10 additional days covered at 100% with a valid medical certificate.

— Equipment: Personal budget for necessary hardware and tools.

— Education: Annual learning & development budget to support your professional growth.

— Health & Wellness: Access to a personal limit within our benefit cafeteria system for health-related expenses.

Join our passionate and talented team and be at the forefront of transforming the iGaming industry with groundbreaking live tech solutions. If you’re a visionary professional eager to shape the future of iGaming, Atlaslive invites you to apply and drive our continued success in this dynamic market.

Atlaslive — The Tech Behind the Game.

*All submitted resumes undergo a thorough review. If we do not contact you within 5 business days after your application, it means that we are unable to proceed with your candidacy at this time. However, we appreciate your interest in our company and will keep your contact details on file for future opportunities.