Streaming Data Engineer
Reply Polska
This is a streaming data engineer role within a consulting company (Data Reply). You will design, implement, and maintain real-time data processing pipelines for clients, using Kafka, Flink, and cloud platforms (AWS/Azure). The role combines hands-on technical work with client consulting and strategy. It's not just a backend or batch data engineering role; it's specialized in streaming and requires strong Kafka knowledge.
Brakuje: team size and structure, on-call expectations.
This is a streaming data engineer role within a consulting company (Data Reply). You will design, implement, and maintain real-time data processing pipelines for clients, using Kafka, Flink, and cloud platforms (AWS/Azure). The role combines hands-on technical work with client consulting and strategy. It's not just a backend or batch data engineering role; it's specialized in streaming and requires strong Kafka knowledge.
- ✓Clear, modern tech stack (Kafka, Flink, cloud, Docker)
- ✓B2B contract with competitive salary range
- ✓Benefits platform with 550 PLN monthly budget
- ✓Training budget and language courses
- ✓International projects and small teams
- !Consulting role may involve client travel or variable workload
- !No mention of team size or project duration
- •Designing and implementing real-time data pipelines using Kafka (Kafka Streams, connectors) and Flink
- •Developing stateful and stateless streaming transformations in Python, Java, or Kotlin
- •Writing SQL queries and designing schemas for streaming data
- •Monitoring and tuning performance of streaming applications for low latency
- •Integrating data from various sources into data warehouses (e.g., AWS Redshift, Azure Synapse)
- •Participating in client meetings to gather requirements and translate them into technical solutions
- •Contributing to data platform architecture and making technology recommendations
- •Optimizing containerized deployments (Docker, Kubernetes) for streaming workloads
Oferta skierowana do developerów z doświadczeniem komercyjnym (Mid).
A mid-level data engineer with at least 2 years of experience in data engineering, including some exposure to streaming technologies (Kafka or similar) and cloud. You have strong SQL skills and a willingness to learn consulting aspects.
Junior engineers with little to no experience in streaming or cloud. Also not ideal for those seeking fully remote work (hybrid required) or pure backend development roles without data focus.
- ?How many people are in the current data engineering team?
- ?What is the typical project length for a consultant at Data Reply?
- ?What cloud provider is most commonly used (AWS vs Azure)?
- ?Are there on-call duties or production support expectations?
- ?How is performance measured and career progression structured?
- ?What industries do clients typically come from?
- −Team size and structure
- −On-call expectations
- −Process rekrutacyjny
Small teams with flat structure, international projects, focus on collaboration and consulting.
Na poziomie rynkowym
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