Data Engineer (Data Engineering Team)

Team: Data Engineering

Location: Warsaw, Mazowieckie, Poland, Sofia City, Bulgaria, Limassol, Cyprus

Commitment: Hybrid

Workplace Type: hybrid

We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.

Responsibilities:

• Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.
• Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.
• Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.
• Monitor and address data quality issues, implement data validation processes, and establish data governance practices.
• Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance.
• Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Minimum of 3 years of experience in data engineering or a related field.
• Proven experience with Redshift and Snowflake.
• Experience with DBT.
• Experience with Apache Airflow for workflow orchestration.
• Proficiency in Python for data pipeline development and scripting.
• Experience with AWS cloud services, including S3, EC2, and EMR.
• Familiarity with Kafka for real-time data streaming.
• Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).
• Project management skills using Jira or similar tools.
• Ability to collaborate effectively with cross-functional teams and understand business data needs.
• Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities.
• Adaptable and open to learning new technologies and methodologies.