Mid / Senior Data Engineer (Python | Confluent Cloud | Kafka)
Must-have:PythonGoogle CloudCloudData
Machine translation — original language: Polish.Show original
Your tasks
- Designing, implementing, and maintaining streaming Data Pipelines based on Apache Kafka and Confluent Cloud.
- Integrating distributed systems and data sources using an Event-driven Architecture approach.
- Creating and optimizing code in Python and complex SQL queries/scripts.
- Configuring and managing database Change Data Capture processes (CDC Tools).
- Collaborating on the integration of cloud solutions (GCP) and non-relational databases (MongoDB).
- Ensuring high performance, reliability, and scalability of the data flow architecture.
Requirements
- Confluent Cloud (key – certification is welcome, but not a requirement)
- Kafka (practical knowledge and commercial experience)
- Very good knowledge of Python
- Very good knowledge of SQL
- English at a level of fluent communication in speaking and writing (B2+)
- Knowledge of Event-driven Architecture patterns
- Experience with CDC (Change Data Capture) tools
- Knowledge of GCP (Google Cloud Platform)
- Experience working with MongoDB
Must have: Python, Cloud, Kafka, SQL
Nice to have: GCP, Google Cloud Platform, MongoDB
What we offer
Rate (determined individually):140 - 155 PLN net + VAT / h*
Other
We are looking for an experienced Data Engineer to strengthen our team in the area of real-time data processing and event-driven architecture. · Engagement terms · Area: IT Consulting · Location: 100% remote *Travel: none Start:** ASAP (we accept candidates with a max 1-month availability to start)
Engagement: B2B (outsourcing via 1dea), full-time, long-term (6m + extension)