1 to 7 of 7 Permanent Flink Jobs in the UK excluding London

to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation more »

time data streaming platforms such as Kafka/Confluent/Google Cloud Pub/Sub Experience with stream processing frameworks such as Faust/Flink/Kafka Streams or similar Great Python skills Experience mentoring more junior team members Comfortable with ELT pipelines and the full data lifecycle Comfortable more »

including re-architecting Prior experience working on data focused projects e.g. data warehousing, big data, data streaming Proficiency with Apache Kafka, Apache Spark, Apache Flink etc. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief more »

We are cloud-native, born in AWS, and embrace their services across our platform. Our technology stack includes Python, Django, ECS, Postgres, Kinesis, Cloudfront, Flink, Elastic Search, Lambda, Amazonmq, Terraform, and Postgres. Tooling includes Datadog, Linear, Slack, Notion and CircleCI. If you think you tick the boxes then apply more »

SQL, Unix, CLI tools, PowerShell, Shell Scripting, HTML, and CSS. Work with external and embedded databases, both relational and NoSQL, such as MongoDB, MySQL, Flink, Cassandra, SQL Server, and Postgres. Develop schemas to support business logic and data. Manage and support both production and non-production instances of services. more »

tools and languages E.g. SQL, Unix, CLI tools, PowerShell, Shell Scripting, HTML and CSS • External and embedded databases, relational and NoSQL, E.g. MongoDB, MySQL, Flink, Cassandra, SQL Server, Postgres. Developing schema for supporting business logic and data • Experience in working across production and non-production instances of services Key more »

So each team leverages the technology that fits their needs best. You’ll see us working with data processing/streaming frameworks like Apache Flink and Spark; Database technologies like MySQL, PostgreSQL, DynamoDB and Redis; and breaking things using in-house chaos principles and tools such as Gatling to … near real-time products: Java and Scala based Web Services, Databricks Data Lakes (Delta Lakes), AWS Kinesis and MSK, AWS ElasticSearch, AWS RDS, Apache Flink & Spark, scripting using Python, Terraform’s infrastructure as a code. The interview process Our interview aims to take a relaxed & practical approach that mirrors more »