1 to 25 of 42 Flink Jobs in England

real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing workflows with tools like Apache Spark and Flink for scalable performance. Infrastructure Automation: Implement Infrastructure as Code (IaC) using tools like Terraform and Ansible. Leverage cloud-native services (AWS, Azure) to streamline More ❯

managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python More ❯

managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Ability to optimise and More ❯

AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to Kafka, Spark, or Flink . Experience with data compliance regulations (GDPR). What you can expect from us: Opportunity for annual bonuses Medical Insurance Cycle to work scheme 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 ❯

models for real-time analytics. Proven experience in managing real-time data pipelines across multiple initiatives. Expertise in distributed streaming platforms (Kafka, Spark Streaming, Flink). Experience with GCP (preferred), AWS, or Azure for real-time data ingestion and storage. Strong programming skills in Python, Java, or Scala . More ❯

models for real-time analytics. Proven experience in managing real-time data pipelines across multiple initiatives. Expertise in distributed streaming platforms (Kafka, Spark Streaming, Flink). Experience with GCP (preferred), AWS, or Azure for real-time data ingestion and storage. Strong programming skills in Python, Java, or Scala . More ❯

/Nice to have Experience with a messaging middleware platform like Solace, Kafka or RabbitMQ. Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark More ❯

engineering experience Experience with data modeling, warehousing and building ETL pipelines Bachelor's degree Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam Knowledge of distributed systems as it pertains to data storage and computing Experience programming with at least one modern language such as More ❯

development experience using SQL. Hands-on experience with MPP databases such as Redshift, BigQuery, or Snowflake, and modern transformation/query engines like Spark, Flink, Trino. Familiarity with workflow management tools (e.g., Airflow) and/or dbt for transformations. Comprehensive understanding of modern data platforms, including data governance and More ❯

and Redis. In-depth knowledge of ETL/ELT pipelines, data transformation, and storage optimization. Skilled in working with big data frameworks like Spark, Flink, and Druid. Hands-on experience with both bare metal and AWS environments. Strong programming skills in Python, Java, and other relevant languages. Proficiency in 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 ❯

efficient integration into Feast feature store. Requirements Good knowledge of programming languages such as Python or Java. Strong experience with streaming technologies (Spark, PySpark, Flink, KSQL or similar) for developing data transformation pipelines. Solid understanding and practical experience with SQL and relational databases (PostgreSQL preferred). Proficiency with AWS More ❯

solutions. Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena/Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to have. What you'll get: Full responsibility for projects from day one, a collaborative More ❯

experience with data modeling and dbt. You have programming experience with Java and Python. Experience with event streaming technologies such as Apache Kafka and Flink is a plus. Ability to drive business value through technical champion building and high level POV's & POC's More ❯

OAuth, JWT, and data encryption. Fluent in English with strong communication and collaboration skills. Preferred Qualifications Experience with big data processing frameworks like Apache Flink or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise in More ❯

OAuth, JWT, and data encryption. Fluent in English with strong communication and collaboration skills. Preferred Qualifications Experience with big data processing frameworks like Apache Flink or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise in More ❯

experience in cross-functional teams and able to communicate effectively about technical and operational challenges. Preferred Qualifications: Proficiency with scalable data frameworks (Spark, Kafka, Flink) Proven Expertise with Infrastructure as Code and Cloud best practices Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) Working at Lila Sciences, you More ❯

to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS, and service-oriented architecture. What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic work environment. More ❯

OAuth, JWT, and data encryption. Fluent in English with strong communication and collaboration skills. Preferred Qualifications Experience with big data processing frameworks like Apache Flink or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise in More ❯

RabbitMQ, Pulsar, etc.). Experience in setting up data platforms and standards, not just pipelines. Experience with distributed data processing frameworks (e.g., Spark or Flink). About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent More ❯

volume data/low latency data pipeline with the following skills. Data Engineering Skills Modelling Orchestration using Apache Airflow Cloud native streaming pipelines using Flink, Beam etc. DBT Snowflake Infrastructure Skills Terraform Devops Skills Experienced in developing CI/CD pipelines Integration Skills REST and Graph APIs (Desirable) Serverless More ❯

/CD pipeline to deliver high-velocity, production-ready systems This Role Requires: Strong Java skills Experience with live-streaming technologies such as Kafka, Flink or Kinesis Solid understanding of event-driven architecture Experience with CI/CD practices and tools Familiarity with microservices and modern cloud-based platforms More ❯

entire spectrum of AWS Services - Storage (Redshift Data Shares, S3 data lakes), Orchestration (Step Functions, Glue, and Internal Java Based Orchestration Tools), Processing (Spark & Flink - KDA), Streaming services (AWS Kinesis) and real-time large scale event aggregation stores. Build and scale our ingestion pipeline for scale, speed, reliability, and More ❯

maintain smooth operations. Integration & Data Processing: Integrate Kafka with key data processing tools and platforms, including Kafka Streams , Kafka Connect , Apache Spark Streaming , Apache Flink , Apache Beam , and Schema Registry . This integration will facilitate data stream processing, event-driven architectures, and continuous data pipelines. Cross-functional Collaboration: Work More ❯