1 to 25 of 57 Permanent Flink Jobs in England

contribute to engineering best practices Skills & Experience * 3+ years' commercial experience in Data Engineering * Strong Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes ...

consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise ...

exposure to AI productivity tooling is advantageous Desirable Experience: Vector databases and embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude-based developer tools ...

engineering stack – from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions and advise clients ...

engineering stack – from ingestion and streaming through to warehousing, serving, and cost optimisation You have deep experience with streaming architectures – Kinesis, Kafka/MSK, Flink, or Spark Streaming – and know when each is the right choice You can model the cost implications of architecture decisions and advise clients ...

Confluent Platform Deep knowledge of Kafka internals & KRaft architecture Experience with Confluent Cloud, stream governance, RBAC, and data lineage Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) Strong Java, Python, or Scala skills Hands-on experience with AWS/GCP/Azure & Kubernetes CI/CD & infrastructure automation ...

philosophy around automated test coverage Knowledge of financial products equity, swaps, futures & fx Experience working with NoSQL database Mongo DB Experience working with Apache Flink #J-18808-Ljbffr ...

pipelines NoSQL database experience ( MongoDB and/or Cassandra is preferred) Hands-on experience with event-driven architectures and complex event processing frameworks (e.g. Flink, Kafka Streams, Esper) to derive insights from continuous event streams Good knowledge of design patterns and experience in implementing them in object-oriented fashion ...

commercial experience in data engineering and modern data platforms. Advanced programming skills in Java or Python. Expertise working with technologies such as Kafka, Spark, Flink or similar distributed data frameworks. Experience delivering solutions within AWS or other major cloud platforms. Strong understanding of data architecture, scalability and performance optimisation. ...

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 ...

Experience with Apache Kafka and Apache Flink. Experience helping customers build distributed systems or streaming solutions that use Kafka alongside technologies such as Spark, Flink, Hadoop, Cassandra, etc. Other Relevant Job Details For additional information about location requirements, please discuss with the recruiter following submission of your application. Some ...

Ansible) Test Driven Development with relevant tools/frameworks Containerisation and orchestration (Kubernetes, Docker, ECS/EKS, AKS) Knowledge of event streaming technologies (Kafka, Flink) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector databases, RAG pipelines, GPU scaling ...

stage, are encouraged to talk about it Experience in financial services,insuranceor another regulated sector Experience deploying real‐time or streaming ML models (e.g.Kafka, Flink, Spark Structured Streaming) Passion for automation, tooling, and building reusable systems Interest in responsible AI and ML model governance Why Compare the Market ...

quickly get up to speed Ability to diagnose faults and remedy under time pressure Additional Beneficial Skills or Experience Experience with stream processing (Kafka, Flink) Experience with dbt, Snowflake, Airflow Experience with other programming languages Python, Java, Scala, F# Kubernetes/OpenShift/Docker, helm templates Perks & Benefits Annual ...

Opentelemetry/Service Meshes etc.) Experience with configuration management tools (Ansible/Puppet/Kapitan/Terraform) Experience with distributed data platforms (Kafka/Flink/Airflow) Comfortable using cloud native and containerisation technologies (Kubernetes/Docker) Good Linux systems knowledge (experience with RHEL desirable) Broad knowledge across network ...

building a new multi-tenant, multi-cloud, polyglot, cloud native compute substrate to enable new business opportunities across Confluent Cloud (including Connect, Apache Flink, Kafka and more) . As a senior software engineer, you think strategically and you help drive end-to-end technical delivery from customer experience ...

development background with hands‐on experience in platform, infrastructure, or data‐centric environments Deep expertise in event‐driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) Proficiency across full stack technologies (Java, .Net, React) with the ability to guide technical decisions Knowledge of hybrid/cloud ...

deep understanding of core Java, data structures and concurrency, not just framework knowledge Hands-on experience with Kafka and event-streaming frameworks such as Flink, Kafka Streams or Spark Practical Kubernetes experience, including troubleshooting production issues Experience tuning JVM performance - garbage collection, CPU hotspots and heap dump analysis ...

deep understanding of core Java, data structures and concurrency, not just framework knowledge Hands-on experience with Kafka and event-streaming frameworks such as Flink, Kafka Streams or Spark Practical Kubernetes experience, including troubleshooting production issues Experience tuning JVM performance - garbage collection, CPU hotspots and heap dump analysis ...

clearance alongside NPPV3 Functional/typed Scala — Cats, Cats Effect, FS2, http4s, Circe — a strong plus Streaming/big-data frameworks (Kafka, Spark, Flink) for integrating with partner pipelines Government, policing or law-enforcement data experience Data lineage, provenance, audit or integrity/verification tooling Secure-by-design development ...

evolving platform stack — from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real‐time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with … difficult problems. Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Experience working with and designing infrastructures for large‐scale ...

power analytics and AI-driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling … experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider ...

analytics and AI-driven decision making. What you'll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling … experience in data engineering or large-scale data platforms (3+ years) • Proficiency in Java or Python • Hands-on experience with streaming technologies (Kafka/Flink preferred) • Good understanding of distributed systems and cloud platforms (AWS ideally) • Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider ...

experience, focusing on backend systems for large‐scale data storage, streaming, and warehousing. Experience with database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and query engines (Trino, Presto, Snowflake). Track record of mentoring and leading teams in successful projects. Excellent ...