technologies-expected :

responsibilities :

Build data products that enhance recruitment and promote fair hiring practices
Design and implement high-performance applications using Kafka and Spark
Collaborate with cross-functional teams to deliver impactful data engineering solutions
Manage ETL pipelines and data orchestration processes
Continuously improve and scale our data infrastructure to support the global recruitment ecosystem

requirements-expected :

Proficiency in coding with Java or Scala
Practical knowledge of Apache Spark and Airflow or other similar orchestration tools
Experience with Kafka (MSK)
Strong knowledge of SQL
Professional experience in Big Data, Data Warehousing, and ETL
Experience with AWS services (e.g., Glue, EMR, ECS with Docker, Redshift, DynamoDB, S3)
Familiarity with Infrastructure as Code tools like Terraform
Strong communication skills in both spoken and written English (B2+ level)
A passion for data-driven solutions that make a difference

offered :

Premium medical and dental care
Life insurance
Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets, etc.)
Employee Referral Program
Hackathons, Knowledge Sharing Hours, In-house projects
Tech and sport communities
Events and integration parties
Charity initiatives, including 2 extra volunteer days
English/German language classes
A supportive and inclusive workplace that promotes professional and personal growth for everyone

benefits :