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 🐍.. 
• Hands on experience with
  1. Open-source ETL, and data pipeline and orchestration such tools as Apache Airflow and Nifi.
  2. Large Scale/ Big Data technology, such as Hadoop, Spark, Hive, Impala, PrestoDb, Kafka.
  3. Workflow orchestration tools like Apache Airflow.
  4. Containerisation with Docker, deployment on Kubernetes.
  5. NoSql and graph databases.
  6. Unix server administration and shell scripting.
• Experience in building DWH and data lakes architectures.
• Experience in working in cross-functional team with software engineers, data scientists and machine learning engineers.
• Experience in working with or leading an off-shore team.
• Proven record of building data science environments deploying ML solutions in at least one of the big 3 cloud ML stacks (Azure/Aws/GCP) and on Kubernetes clusters.

Why to join?

🙌 Work closely with senior leaders who have served Fortune 100 CEOs globally. Your opinions are valued.

🤝 Co-founders are approachable and involved in daily operations.

💪 Build skills and connections with top-tier clients, solving mission-critical problems.

📚 Enjoy unique learning opportunities with formal training and informal knowledge-sharing.

🏙 Prague 1 office, located in a stunning space, offers a breathtaking rooftop view.

🎁 Celebrate birthdays, enjoy lunches, play ping-pong, and have beer after work, while maintaining a 👨‍👩‍👧‍👦 hybrid work model. Join us for free coffee, tea, and social events