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Senior Data Engineer
About On The Spot
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.
You’ll join the core web team responsible for our main website product, powering high-traffic, highly available services that serve millions of users daily.
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
- Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
- Monitor and optimize data pipelines for performance, reliability, and data quality.
- Implement and manage data storage solutions, including relational databases, data warehouses, and NoSQL databases.
- Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
- Identify and resolve data quality issues, including data cleansing, standardization, and validation.
- Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
- Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
- Stay updated on emerging technologies and trends in data engineering, proactively.
Requirements
- 4+ years as a Data Engineer with a strong Software Engineering background (CS degree preferred).
- Mastery of Python and advanced SQL.
- Proficiency with AI-augmented development tools (Cursor, Copilot, or similar) to increase engineering velocity.
- Hands-on experience with BigQuery, Redshift, or Snowflake, and cloud services (GCP/AWS).
- Experience with Open Table Formats (Apache Iceberg, Delta Lake), Airflow, and dbt.
- Understanding of Prompt Engineering for system automation and experience/interest in integrating LLMs into data workflows.
- Strong grasp of CI/CD, TDD, and Agile methodologies.
- Practical experience with MLOps and managing the lifecycle of data-driven models.
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
Leave your CV and contact data here.
Contribute to our growth
Know someone perfect for this role? Let us know about them. We have a referral program to recognize your support.
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