to Date with Technology: Keep yourself and the team updated on the latest Python technologies, frameworks, and tools like Apache Spark, Databricks, Apache Pulsar, Apache Airflow, Temporal, and ApacheFlink, sharing knowledge and suggesting improvements. Documentation: Contribute to clear and concise documentation for software, processes, and systems to ensure team alignment and knowledge sharing. Your Qualifications Experience: Professional experience … pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with ApacheFlink or other stream processing frameworks is a plus. Desired Skills Asynchronous Programming: Familiarity with asynchronous programming tools like Celery or asyncio. Frontend Knowledge: Exposure to frontend frameworks like React More ❯
delivering under tight deadlines without compromising quality. Your Qualifications 12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development. Expertise in Apache Kafka, ApacheFlink, and/or Apache Pulsar. Deep understanding of event-driven architectures, data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including prompt engineering More ❯
. Collaborate with a supportive team that values innovation, creativity, and growth. Qualifications Experience with SQL development, SSIS, Azure Data Factory ; Git knowledge is essential. Bonus: experience with Confluent, Flink, Kafka, or AWS . Someone innovative, team-oriented, and ready to push boundaries . Why you'll love it Salary up to £60K plus pension, healthcare, holidays, and bonuses. More ❯
the platform. Your Impact Build and maintain core platform capabilities that support high-throughput batch, streaming, and AI-powered workloads. Develop resilient, observable, and scalable systems using Apache Kafka, Flink, Pulsar, and cloud-native tools. Collaborate with AI/ML engineers to operationalize models and enable generative AI use cases such as prompt-based insights or automation. Deliver reliable … experience (or equivalent) with deep experience in platform/backend systems. Expert-level skills in Java, with strong proficiency in Python. Experience building distributed data pipelines using Apache Kafka, Flink, and Pulsar. Familiarity with data lakes and scalable data storage patterns. Demonstrated experience integrating with AI/ML models, including LLMs and prompt-based applications. Proven capability in fullstack More ❯