26 to 31 of 31 Apache Jobs in Central London

quickly, and delays of even milliseconds can have big consequences. Essential skills: 3+ years of experience in Python development. 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products More ❯

Role – Technology Lead/Confluent Consulting Engineer Technology – Apache Kafka, Confluent Platform, Stream Processing Location – UK, Germany, Netherlands, France & Spain Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish … data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: • Hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying … ecosystem will be given preference: • Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center • Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink • Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC • Confluent certifications (Developer, Administrator, or Flink Developer) • Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud More ❯

Role – Technology Architect/Confluent Solution Architect Technology – Apache Kafka, Confluent Platform, Stream Processing Location – UK, Germany, Netherlands, France & Spain Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish … these values are upheld only because of our people. Your role As a Confluent Solution Architect, you will lead the design and architecture of enterprise-grade streaming solutions using Apache Kafka and the Confluent Platform. You will work closely with clients to understand business requirements, define integration strategies, and guide implementation teams in building scalable, secure, and resilient data … streaming ecosystems. Strongly Preferred: • Experience in designing and architecting solutions using Apache Kafka, with hands-on experience in Confluent Kafka • Ability to lead client engagements, translate business requirements into technical solutions, and guide implementation teams • Deep understanding of Kafka internals, KRaft architecture, and Confluent components • Experience with Confluent Cloud, Stream Governance, Data Lineage, and RBAC • Expertise in stream processing More ❯

Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and … maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and More ❯

Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will work closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and … maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and More ❯

guidance to cross-functional teams, ensuring best practices in data architecture, security and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with industry standards and government … but not limited to EC2, S3, RDS, Lambda and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with Apache Flink for real-time data processing Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment Strong ability to engage More ❯