1 to 25 of 34 Remote/Hybrid Flink Jobs in England

that power intelligent decision-making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using … junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software ...

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 ...

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 ...

engineering culture at Depop and encourage others around you to follow these values What You’ll Bring Streaming knowledge: Experience with Kafka/Flink/Confluent or other streaming ecosystems, with a solid understanding of their components Advanced knowledge in a high‐level programming language (e.g. Python, Scala) with ...

Looker, Tableau, or Apache Superset. Understanding of software engineering best practices and their application to data processing systems. Knowledge of Python, Java or Flink is a plus, but not a necessity. Strong attention to detail. Ability to work autonomously in a fast-paced and dynamic environment. Strong communication ...

Boot, REST APIs and microservices Experience with a relational database like MS SQL Server, PostgreSQL, Sybase ASE Experience with Streaming technologies like Kafka, Apache Flink Experience with cloud technologies, such as Microsoft Azure Experience with Agile process Experience with DevOps and tools like Azure DevOps Our benefits To help ...

data platforms rather than solely delivering individual components. You’ll need experience across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated ...

Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt ...

Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and "infrastructure as a code" tools such as Terraform, Salt ...

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 ...

Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt ...

Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt ...

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 ...

deployment, and monitoring of their solutions. The core tech stack we use is based on AWS and GCP, using: Kafka as our message transport Flink for (near) real time processing Datahub as our catalog BigQuery as our warehouse Airflow (GCP Composer) for scheduling DBT for data transformation Montecarlo ...

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 ...

home in system design and in low-level implementation detail. Experience building and deploying services on AWS or GCP. Hands-on exposure to Kafka, Flink, Redis or clustered Postgres, and an appetite for more. Comfortable with agent-based development tools. We use Claude Code; any equivalent is fine. ...

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 processing and distributed systems. The role is hybrid with 3 days onsite per week. Responsibilities include building event-driven architectures, streaming solutions with Flink and Kafka, and deploying in Kubernetes/Azure environments, with focus on security and high availability. #J-18808-Ljbffr ...

data) volumes in near real time. Hands‐on exposure to technologies such as HDFS/S3, Snowflake, SingleStore, Kafka (or similar streaming systems), Flink (or similar distributed processing frameworks), and Java/Scala (Python optional). Excellent communication skills, with the ability to collaborate effectively across teams while independently ...

database environments Excellent communication and cross-functional collaboration skills A passion for continuous learning and innovation Desirable skill: Databricks Azure Fabric Confluent/Apache Flink Knowledge Grow with Acorn At Acorn Insurance, we're proud of our Liverpool roots - and even prouder of how far we've come. ...

join a high-performing data enablement team. You will design and implement architecture that scales with the payment platform, working with technologies like StarRocks, Flink, and DBT. The ideal candidate has over 5 years of experience, strong Python and SQL skills, and a proactive approach to data engineering. Yuno ...

databases, release management and scalable services. You will focus on real-time stream processing, cloud infrastructure, system integration and release automation, leveraging Golang, Kafka, Flink, GCP, Spanner and BigQuery to deliver a high-performance platform. #J-18808-Ljbffr ...

Data Platform team provides real-time streaming, cloud-based databases, release management, distributed storage and bespoke technical solutions. You will work with Golang, Kafka, Flink, GCP, Spanner and BigQuery. This role is eligible for inclusion in the Company’s hybrid work from home policy, enabling flexible working arrangements. #J ...

. Key Responsibilities Design, develop and optimise highly scalable distributed and event-driven systems. Build real-time streaming and data-processing solutions using Apache Flink and Kafka. Develop enterprise applications using Java, Spring Boot and microservices architectures. Design fault-tolerant solutions capable of operating in high-throughput, mission-critical … ideally including Java 17/21. Strong hands-on Spring Boot and microservices experience. Strong experience designing and developing distributed systems. Hands-on Apache Flink experience. Strong Apache Kafka and event-driven architecture experience. Experience building real-time/stream-processing platforms. Understanding of high-throughput, low-latency ...

Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka … Flink), or RPA tooling (UiPath, Power Automate). Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Experience 3–5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production ...