26 to 50 of 81 Flink Jobs in the UK

Scala or Go) Extensive experience working with operational data stores, data warehouse, large‐scale data technologies and data lakes Experience using distributed frameworks (Spark, Flink, Beam, Hadoop) Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS Strong experience working with ...

where people feel safe to challenge ideas, learn, and grow. Nice to have Hands-on familiarity with the modern data stack — for example, Spark, Flink, Kafka, Debezium, Airflow, dbt, or similar — and with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices. Experience leading teams that built ...

. Build and maintain platform capabilities supporting batch and real-time data workloads . Develop and operate distributed data services using Kafka, Kinesis, Spark, Flink or equivalent technologies . Build and maintain cloud-native data platform capabilities using AWS and/or Azure . Support data ingestion, processing, storage … experience with real-time streaming and event-driven architectures , including Kafka, Kinesis or equivalent. Experience with distributed data processing technologies such as Spark, Flink, Kafka Streams or equivalent. Strong experience with AWS and/or Azure cloud environments. Experience with cloud services such as S3, Glue, Lambda, RDS, Athena ...

when existing technology should be evolved or replaced. Your experience should include: Batch processing, data warehousing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. Production AWS data engineering. AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table ...

production-grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with ...

meetups Continuously learn and improve engineering practices What we’re looking for batch processing distributed data processing Experience with technologies such as: Kafka Flink Spark Databricks experience is a plus Experience implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS ...

SMTs), and converter settings. Administer Schema Registry (compatibility levels, subject naming strategies, serializers/deserializers, schema size & references). Operate ksqlDB and/or Flink for streaming SQL; enforce resource limits and multi tenant governance. Engineer low latency and secure connectivity across data centers/VPCs/VNETs; manage ...

legal advisors to ensure holistic solutions Your areas of knowledge and expertise Proven experience designing and implementing data lakehouse architectures (Databricks, Delta Lake, Apache Flink, or similar technologies) Strong, hands-on AWS cloud experience including services such as S3, Glue, Lake Formation, Athena, and Redshift Demonstrated expertise ...

offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Knowledge of 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: Hugging Face Transformers. Familiarity ...

cloud orchestration and containerisation technologies, such as Kubernetes, Docker, ECS/EKS & AKS Knowledge of distributed event streaming technologies, such as Kafka and Flink Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here ...

leakage, transaction costs and changing market conditions. For the Developer track: Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) Experience with testing, monitoring, and debugging complex systems under load Strong experience with microservices, databases, and production infrastructure We’re people without ...

rather than relying on frameworks such as Spring. You have built event‐driven applications using Kafka and solutions with event‐streaming frameworks at scale (Flink/Kafka Streams/Spark) that go beyond basic ETL pipelines. You know how to orchestrate the deployment of applications on Kubernetes, including defining ...

across data pipelines. The ideal candidate has 3+ years in data platform or infrastructure roles, strong AWS and Terraform skills, and experience with Kafka, Flink, Spark, and related lakehouse #J-18808-Ljbffr ...

comfortable working with large-scale datasets using SQL and platforms such as BigQuery. You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark. You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals. You have experience with data modeling ...

instruments, industrial control, or similar environments. Knowledge, entity, search or feed systems where correctness under continuous update was the hard part. Stateful stream processing (Flink, Kafka Streams, Beam or similar): event time, watermarks, exactly-once. APIs for data ingestion and consumption with FastAPI, gRPC or GraphQL. Graph stores ...

real-time streaming applications and backend services delivering maritime intelligence to global consumers via streaming tech. You will work with Java, Scala, Python; Kafka, Flink, Airflow; Kubernetes, Docker and GitOps. #J-18808-Ljbffr ...

Pulsar Experience with Kafka Connect Experience in setting up data platforms and establishing standards Experience with distributed data processing frameworks (e.g., Spark or Flink) #ICBCareers #ICBEngineering #J-18808-Ljbffr ...

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 ...

data access Develop High-Performance Pipelines Build and optimise batch and real-time pipelines Work with streaming and event-driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design ...

Build and optimise data pipelines using Java (preferred) or Python. Develop Real Time streaming and batch data pipelines. Work with Kafka, Flink or Spark, with Kafka/Flink preferred. Develop AWS-based data solutions using Kinesis, MSK, Lambda and Glue. Implement data governance, lineage, security and quality controls. ...

Companys hybrid work from home policy. Qualifications Commercial GCP background including BigQuery, Dataform and GCS Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python Relational set-based processing through complex SQL queries Proven ability to leverage AI within a production workflow Background working within a Data ...

streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. ...

large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded approach, design with user workflows in mind, and iterate quickly based on feedback Favor pragmatic solutions ...

skills may include: Contributing to disaster recovery, business continuity and platform resilience solutions for streaming environments. Working with streaming technologies such as Kafka Streams, Flink or Spark Streaming and applying real‐time data processing approaches to business requirements. Working collaboratively across engineering, architecture, security and infrastructure teams, sharing knowledge ...

applying algorithms within a commercial environment Prior experience working with highly imbalanced datasets for binary classification problems Event streaming data engineering tools such as Flink or Spark Experience with MLOps and tools such as Airflow, BentoML and MLFlow Use of Docker CI/CD and SDLC (e.g. JIRA ...