Senior Data Engineer at 365Scores

365Scores is a global sports technology hub offering multiple solutions to millions of users worldwide. The company provides real-time results, updated stats, original content, aggregated information, customized news feeds, and more.

Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale.

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.

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 identifying opportunities for innovation and improvement

Skills & Capabilities

• 4+ years of experience as a Data engineer

• 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

• Flexible working hours – we care about you (!) and your output

• Paid vacation — 25 days per year, 100% sick leave payment

• 5 sick days per year

• Inflation-protected wages with regular revision of compensation conditions

• Care package: Health insurance (after the end of the probationary period) + English classes 2 times a week (online)

• 50% tuition reimbursement (courses, certifications, attendance of professional events, etc.)

• Well-equipped open-space offices

• Bright and memorable corporate life: corporate parties 2 times a year, gifts to employees in honor of life events, weekly pizza-fridays with board games.

Рабочее место является планируемым к созданию (перспективным).