1 to 25 of 29 Flink Jobs in the UK

Python programming is advantageous. Familiarity with modern hardware architectures and cloud infrastructure platforms. Additional Desirable Skills or Experience: Experience with stream processing technologies (Kafka, Flink). Proficiency in other programming languages such as Java, Scala, or F#. Knowledge of Kubernetes/OpenShift/Docker and helm templates. Experience with 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 »

Streaming, Google PubSub, Knowledge and experience of using Change Data Capture and associated technologies. Experience with one or more of the following technologies: Apache Flink, Apache Beam, Apache Storm, Spark Streaming and KStreams. Databases Hands-on experience with schema design using semi-structured and structured data. Experienced in data more »

role includes development, testing, and rollout of data platform features. Our platform is made of Java and Python services that inter-operate with Airflow, Flink, Kafka, GraphQL, REST, various AWS services, as well as vendor and external systems. You will be able to contribute to our vision, roadmap, and more »

advanced analytics infrastructure. Familiarity with infrastructure-as-code (IaC) tools such as Terraform or CloudFormation. Experience with modern data engineering technologies (e.g., Kafka, Spark, Flink, etc.). Why join YouLend? Award-Winning Workplace: YouLend has been recognised as one of the “Best Places to Work 2024” by the Sunday more »

in Data Architecture for Dimensional Models, Data Lakes and Data Lakehouses Experience designing, building and operating robust distributed data platforms (HBase, Spark, Hive, Kafka, Flink etc.) Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP) Familiarity with data governance and security best more »

and experience with DevOps practices (CI/CD). Familiarity with containerization (Docker, Kubernetes), RESTful APIs, microservices architecture, and big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural more »

with proficiency in SQL. Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt. more »

in Python or SQL for data analysis, manipulation, and transformation. Streaming Technologies: Utilize your experience with streaming technologies such as Kafka Streaming or Apache Flink to process and analyze real-time data. Contract Details: IR35 Status: Outside IR35 Contract Type: Rolling Contract Location: Remote #J-18808-Ljbffr more »

Experience working with event streaming platforms (Kafka/Kinesis/SQS) Experience with distributed processing systems such as Apache Spark and/or Apache Flink Ability to handle periodic on-call duty as well as out-of-band requests Ability to conduct technical deep dives into the code, cloud more »

Experience working with event streaming platforms (Kafka/Kinesis/SQS) Experience with distributed processing systems such as Apache Spark and/or Apache Flink Ability to handle periodic on-call duty as well as out-of-band requests Ability to conduct technical deep dives into the code, cloud more »

CI/CD practices. Expertise in ETL and ELT frameworks for large scale realtime and batch data processing, with hands-on experience in Kafka, Flink, Airflow and dbt as well as containerisation technologies like Docker and Kubernetes. Ability to provide clear input, guide, opportunities to help engineers develop and more »

in Computer Science, Computer Engineering, Mathematics, or a related technical field. Hands-on experience with Big Data and distributed computation systems (HDFS, Spark, Apache Flink, Databricks). Hands-on experience with Java, Python & Spring Boot, and cloud-native foundations. Demonstrated proficiency in software applications and technical processes within a more »

data Strong knowledge of database design and development with previous experience in developing ETL processes, and multidimensional data models Expertise with Kafka, Kafka Connect & Flink SQL Experience with Iceberg Lakehouses Experience with AWS High understanding of both relational and multidimensional modeling principles Strong knowledge working with Kubernetes and containerized more »

with large datasets (structured and unstructured) Used a range of open-source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Benefits Competitive salary + generous bonuses Extra more »

more across different environments Technologies We Use Different backend languages, including Java, Rust, and Go Open-source technologies like Cassandra, ElasticSearch, Spark, Kafka, Kubernetes, Flink Industry-standard build tooling, including Gradle and GitHub What We Value Demonstrated ability to collaborate and empathise with a variety of individuals. Able to more »

orchestration tools like Docker and Kubernetes. Experience with building observability into services to track usage and health (New Relic). Working knowledge of Kafka, Flink, IoT streaming technologies. What we look for in your professional skills: Highly driven, innovative and dynamic operator. Experience in fast-growing organisations. Strong communication more »

a large banking client in Brussels. Early September start for 6 months with possible extension. Requirements: 5 years + experience and practical knowledge of Flink/Kafka Hands-on experience in big data stack - Hortonworks and technologies/languages like Hive, ELK, Cassandra, Python Profound knowledge of SQL (writing more »

professional software development experience Strong Skills in Java or Kotlin: Demonstrated expertise in these programming languages, following standard methodologies. Experience with processing data using Flink, Spark, or similar Object-Oriented Programming: Strong understanding of Object-Oriented Programming (OOP) concepts and design patterns, with proven ability to apply them effectively. more »

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud more »

The Role Portfolio Management is responsible for all of this fund's optimisation and allocation research along with monitoring fund performance and reviewing the quant process. As manager of the PM Tech team, you will be responsible for the simulation more »

Tech. Key Responsibilities: Write clean, maintainable, and efficient code in Java. Develop microservices-based applications and ensure high availability and performance. Utilize Kafka and Flink for Real Time data processing. Implement and optimize SQL queries for effective data management. Manage and deploy applications using OpenShift, ECS, Docker, and Kubernetes. … Computer Science, Information Technology, or a related field. Strong experience in Java development with a focus on microservices architecture. Proven experience with Kafka and Flink for data processing. Strong SQL skills for database management. Familiarity with Python is a plus. Excellent communication skills with a collaborative mindset. Our Belfast more »

around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS, using: Kafka as our message transport Flink for (near) real time processing Datahub as our catalog Snowflake as our warehouse Airflow for scheduling DBT for data transformation Montecarlo for monitoring The … working with stream technologies, ideally Kafka, but Kinesis, Pulsar or similar would also be applicable. Experience designing and implementing stream processing applications (kStreams, kSQL, Flink, Spark Streaming). Experience with Data Warehousing tools like Snowflake/Bigquery/Databricks, and building pipelines on these. Experience working with modern cloud more »

The Team Machine Learning Technology is a small and agile team that facilitates the use of machine learning tools across the firm, with a particular focus on generative AI. Alongside developing and provisioning the platform, you'll also consult with more »

Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4 more »