17 of 17 Apache Avro Jobs in London

practices include OWASP guidelines/top 10, SOC 2, and NCSC cloud security principles. Experience in data and orchestration tools including some of dbt, Apache Airflow, Azure Data Factory. Experience in programming languages including some of Python, Typescript, Javascript, R, Java, C#, producing services, APIs, Function Apps or Lambdas. More ❯

such as Relational and Columnar Databases, Data Integration (ETL), or API development. Familiarity with data formats like JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience working with business and technical teams to develop Model Engineering solutions. Proficiency with tools like SQL, JavaScript, or Python More ❯

support for OpenLink and processes developed by the group Participate in capacity planning and performance/throughput analysis Consuming and publish transaction data in AVRO over Kafka Automation of system maintenance tasks, end-of-day processing jobs, data integrity checks and bulk data loads/extracts Release planning and More ❯

worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you will need to be able to More ❯

Previous experience in monitoring, tracking and optimising cloud compute and storage costs Experience working with RPC protocols and their formats, e.g., gRPC/protobuf, Apache Avro, etc. Experience with cloud-based (e.g. AWS, GCP, Azure) microservice architecture, event-driven, distributed architectures. Experience working in a fast-paced environment More ❯

non-technical stakeholders. A strong grasp of Agile practices. Familiarity with NoSQL databases, big data technologies, and integrating diverse data formats (e.g., JSON, Parquet, Avro). Experience with data cataloguing, metadata management, and data lineage tools. Strong troubleshooting and problem-solving skills for complex data challenges. Desirable Experience & Knowledge More ❯

Key Responsibilities Design and implement real-time data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming. Develop and maintain event schemas using Avro, Protobuf, or JSON Schema. Collaborate with backend teams to integrate event-driven microservices. Ensure data quality, lineage, and observability across streaming More ❯

Key Responsibilities Design and implement real-time data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming. Develop and maintain event schemas using Avro, Protobuf, or JSON Schema. Collaborate with backend teams to integrate event-driven microservices. Ensure data quality, lineage, and observability across streaming More ❯

datasets. Implement and manage Lake Formation and AWS Security Lake , ensuring data governance, access control, and security compliance. Optimise file formats (e.g., Parquet, ORC, Avro) for S3 storage , ensuring efficient querying and cost-effectiveness. Automate infrastructure deployment using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. More ❯

patterns, such as, "expand and contract" using go-migrate Writing observable and testable code using libraries such as testify and mockgen Publishing and consuming Avro formatted Kafka messages CI/CD GitHub Actions Trunk Based Development & Continuous Delivery Soft skills: Good collaboration skills at all levels with cross-functional More ❯

experience with SQL, Data Pipelines, Data Orchestration and Integration Tools Experience in data platforms on premises/cloud using technologies such as: Hadoop, Kafka, Apache Spark, Apache Flink, object, relational and NoSQL data stores. Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop … Spark, Redshift, Snowflake, GCP BigQuery) Expertise in building data architectures that support batch and streaming paradigms Experience with standards such as JSON, XML, YAML, Avro, Parquet Strong communication skills Open to learning new technologies, methodologies, and skills As the successful Data Engineering Manager you will be responsible for: Building More ❯

ecosystem, including modules for Security, Web, and Data Expertise in building event-driven systems that deliver high reliability and performance Familiarity with message schemas (Avro, Protobuf) and strategies for evolving events Experience integrating with identity systems like Keycloak Strong grasp of system-level concerns like observability, availability, and resilience More ❯

ecosystem, including modules for Security, Web, and Data Expertise in building event-driven systems that deliver high reliability and performance Familiarity with message schemas (Avro, Protobuf) and strategies for evolving events Experience integrating with identity systems like Keycloak Strong grasp of system-level concerns like observability, availability, and resilience More ❯

ecosystem, including modules for Security, Web, and Data Expertise in building event-driven systems that deliver high reliability and performance Familiarity with message schemas (Avro, Protobuf) and strategies for evolving events Experience integrating with identity systems like Keycloak Strong grasp of system-level concerns like observability, availability, and resilience More ❯

ecosystem, including modules for Security, Web, and Data Expertise in building event-driven systems that deliver high reliability and performance Familiarity with message schemas (Avro, Protobuf) and strategies for evolving events Experience integrating with systems like Keycloak Strong grasp of system-level concerns like observability, availability, and resilience Background More ❯

worked on recently that might give you a better sense of what you'll be doing day to day: Improving systems integration performance, using Apache Ni-Fi, by balancing scaling and flow improvements through chunking Implementing AWS Security Control Policies to manage global access privileges. Validating and Converting data … into a common data format using Avro Schemas and JOLT Designing a proxy in-front of our Kubernetes cluster egress to allowlist traffic and mitigate any security risks Implementing Access/Role Based Access Control in ElasticSearch Writing React UI using an ATDD approach with Cypress Improving docker-compose More ❯

datasets. Implement and manage Lake Formation and AWS Security Lake , ensuring data governance, access control, and security compliance. Optimise file formats (e.g., Parquet, ORC, Avro) for S3 storage , ensuring efficient querying and cost-effectiveness. Automate infrastructure deployment using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. … Data Engineering – Proficiency in building and optimising data pipelines and working with large-scale datasets. File Formats & Storage – Hands-on experience with Parquet, ORC, Avro, and efficient S3 storage solutions. DevOps & Automation – Experience with Terraform, CloudFormation, or CDK to automate infrastructure deployment. Security & Compliance – Familiarity with AWS Security Lake More ❯