Senior Data Engineer

Company
On The Spot Development
Team
365Scores
Department
Engineering & DevOps
Belarus
Poland
Hybrid | Minsk
Hybrid | Warsaw
Remote
Engineering & DevOps
365Scores
Hybrid | Minsk
Hybrid | Warsaw
Remote
Belarus
Poland
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About On The Spot

We bring startups and disruptive tech companies to the local market, offering engineers the opportunity to work on innovative, high-impact products. Join us and become a member of their R&D team while we take care of employment, HR support, a benefits package, and an enjoyable work environment.

About the team

365Scores is a global sports tech hub, serving tens of millions of users with real-time results, stats, news, and content across all major sports. We combine deep tech, real-time data, and massive scale to deliver one of the most engaging sports experiences in the world.

About the role

We are looking for a talented and experienced Data Engineer to join our data engineering team.

In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets.

Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.

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Responsibilities

  • Develop and maintain scalable data ingestion and transformation pipelines
  • Evaluate and integrate emerging data platform capabilities, including AI-driven tools
  • Own end-to-end engineering for data products
  • Empower data-driven teams with curated data assets and technical guidance
  • Shape data platform strategy through active decision-making and discussion
  • Advance team expertise by sharing and embedding industry best practices

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Requirements

  • 5+ years of hands-on software development experience in data domain
  • Fluency in SQL, including query optimisation for big datasets and OLAP databases
  • Python experience sufficient to write production-grade data pipelines and ETL processes (preferably with Apache Airflow)
  • Experience with cloud platforms (AWS preferred) for data workflows
  • Acquaintance with Linux terminal, git, Docker/Podman
  • Readiness to follow established development practices and contribute to them
  • Strong sense of ownership and responsibility for one's work
  • Strong communication and collaboration skills

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Nice to have

  • Hands-on experience in integrating AI into data engineering workflow or tech stack
  • Production experience with Apache Spark, including optimisation and troubleshooting
  • Production experience with Change Data Capture and streaming ingestion pipelines
  • Production experience with DBT or alternatives

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Benefits

  • Work in a highly professional team with a friendly community spirit and supportive environment
  • Well-equipped open-space offices
  • Paid vacation — 25 days per year, 100% sick leave payment
  • Flexible working hours — we care about you (!) and your output
  • 5 sick days per year
  • Care package: Health insurance (after the end of the probationary period) + English classes (online)
  • Partially compensated educational costs (for courses, certifications, professional events, etc.)
  • Bright and memorable corporate life: corporate parties 2 times a year, gifts to employees on significant events, weekly pizza Fridays

Join us

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Your application has been successfully submitted. One of our recruiters will be in touch soon.

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Tatyana Kyashkina

Recruiter

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Tatyana Kyashkina

Recruiter

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