3 of 3 Permanent Flink Jobs in Newcastle upon Tyne

Data Engineer

Hiring Organisation
Anson Mccade
Location
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£60,000
should have: Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure ...

Data Engineer

Hiring Organisation
Anson McCade
Location
Newcastle Upon Tyne, England, United Kingdom
pipelines using Java as the primary language, with exposure to Python where needed Develop real-time streaming solutions using technologies such as Kafka and Flink Integrate data from multiple sources including APIs, batch systems, and streaming platforms using AWS services like Kinesis, MSK, Lambda, and Glue Contribute to modern … years’ experience in data engineering or large-scale data platforms Strong programming skills in Java (preferred) or Python Hands-on experience with Kafka, Flink, or Spark, with a preference for streaming technologies Solid understanding of real-time data processing concepts such as event time, state handling, and backpressure Experience ...

Data Engineer

Hiring Organisation
Anson Mccade
Location
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£65,000
distributed systems, and modern cloud architectures . What youll be doing Design and build scalable data pipelines (batch & streaming) Work with technologies like Kafka, Flink, Spark, AWS services Develop real-time, event-driven data solutions Contribute to data architecture and modelling best practices Implement CI/CD pipelines … teams to deliver clean datasets What were looking for Strong programming skills in Java (preferred) or Python Experience with streaming technologies (Kafka/Flink/Spark) Knowledge of distributed systems and large-scale data processing Experience with cloud platforms (AWS preferred) Familiarity with DevOps tools and containerisation (Docker/ ...