A leading Smart Data Analytics Platform for Financial Services is seeking a Senior Data Engineer. You’ll integrate diverse data sources, structure and validate unstructured data, and leverage advanced analytics and machine learning for actionable insights. You’ll design, implement, and optimize data pipelines, develop data models, and build back-end services to support data science teams. Additionally, you’ll automate workflows, integrate systems, and create powerful analytics solutions.
Requirements
- 5+ years of relevant experience in Data Engineering, warehousing, ETL, automation, big data and cloud technologies, etc.
- Ability to write clean, scalable, maintainable code in Python ๐..
Nice to have
- ETL and data pipelines: Apache Airflow, Nifi
- Big Data: Hadoop, Spark, Hive, Impala, PrestoDb, Kafka
- Orchestration: Apache Airflow
- Containerization: Docker, Kubernetes
- NoSQL and graph databases
- Unix server administration, shell scripting
- DWH and data lakes architecture
- Cross-functional teams: software engineers, data scientists, ML engineers
- Off-shore team collaboration
- ML solutions on Azure, AWS, GCP, Kubernetes
Why to join?
๐ Work closely with senior leaders who have served Fortune 100 CEOs globally. Your opinions are valued.
๐ค Co-founders are approachable and involved in daily operations.
๐ช Build skills and connections with top-tier clients, solving mission-critical problems.
๐ Enjoy unique learning opportunities with formal training and informal knowledge-sharing.
๐ Prague 1 office, located in a stunning space, offers a breathtaking rooftop view.
๐ Celebrate birthdays, enjoy lunches, play ping-pong, and have beer after work, while maintaining a ๐จ๐ฉ๐ง๐ฆ hybrid work model. Join us for free coffee, tea, and social events
