Senior Data Engineer

• Develop and maintain data processing solutions in a distributed environment
• Translate business requirements into scalable data solutions
• Work with large datasets using Hadoop, Spark and SQL
• Support production systems and resolve complex data-related issues (L3)
• Collaborate with technical teams and Production Assurance
• Ensure effective communication between technical and business teams

• Strong experience with data engineering and distributed data processing
• Ability to understand and translate complex business requirements into efficient SQL solutions
• Experience with L3 production support and collaboration with Production Assurance teams
• Strong communication skills and ability to explain technical (SQL/data) topics to business stakeholders

• Hands-on experience with Apache Hadoop and Apache Spark 
• Strong expertise in SQL-based data transformation 
• Experience with workflow orchestration tools (Airflow or Oozie) 
• Knowledge of CI/CD pipelines (Git, PR workflows, Jenkins) 
• Experience with Kafka or other event-driven architectures

• Experience in the banking or financial sector 
• Familiarity with regulatory or reporting projects

• A quick recruitment process.
• Standard benefits including preferential rates for LuxMed, Multisport, and life insurance packages
• The chance for long-term cooperation on projects for top players in numerous sectors
• Opportunities for future assignments with other leading clients through Hays

• Your CV will be verified by a Hays Recruiter
• The recruiter will contact you by phone - a 15-minute conversation about the project and your experience
• Meeting with the client - 2 stages
• Offer
• Welcome to the project!

Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.