76 to 100 of 128 Flink Jobs in England

high‐throughput, low‐latency environment and collaborate with product teams to deliver reliable, scalable systems. You’ll work on event‐driven data processing with Flink and Kafka, develop Java and .NET APIs, and drive observability and cost‐efficient operations while #J-18808-Ljbffr ...

self-service capabilities, and supporting analytics across the business. You will drive the implementation of data lakes, warehouses, and real-time streams using Kafka, Flink, Spark, Iceberg and cloud-native practices with Kubernetes/OpenShift. #J-18808-Ljbffr ...

HTML CSS· VUE or GWT· Highly motivated· Delivery focused and accountable.Additional exposure to the following is desired: – Tech Stack you will learn· Hadoop and Flink· RUST, Javascript, React, Redux, Flow· Linux, Jenkins· Kafka, Avro, Kubernetes, Puppet· Involvement in the Java communityMy client is based London. Home work is encouraged ...

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 ...

prior experience with Tier-1 Cloud Service Providers (CSPs) is highly preferred. Expertise in the Hadoop ecosystem and deep understanding of components like Spark, Flink, Elasticsearch, Doris, ClickHouse, and Trino., Strong knowledge of big data architecture, including Data Lake (Iceberg, Hudi) and Serverless data concepts. Familiarity with mainstream global ...

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. ...

specifically related to building large-scale data storage, streaming, and warehousing systems. Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). Show a track record of mentoring and leading ...

systems, specifically related to building large-scale data storage, streaming, and warehousing systems.Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).Show a track record of mentoring and leading teams ...

technical workStrong software engineering practice: Python, version control, reproducible pipelines and production-ready codeExperience with large-scale data processing (we use Kafka, Spark and Flink)The ability to explain complex technical work clearly to senior leadership, commercial teams and partners, and a bias for connecting research to business outcomesPreferably ...

enable scalable, consumer-oriented data access Build and optimise batch and real-time pipelines Work with streaming and event-driven technologies such as Kafka, Flink, Kinesis, and Pub/Sub Orchestrate workflows using Airflow, Dataflow, and Glue Process and transform large datasets using Spark and Flink Design production ...

Vacancy detailData Engineer40,000 - 55,000 GBPBonus, Pension, BenefitsHybrid WORKINGLocation: Newcastle Upon Tyne, North East – United Kingdom Type: PermanentData EngineerData & Cloud EngineeringLocation: Newcastle/Hybrid WorkingSalary: Up to 55,000 + Benefits PackageAbout the RoleWe ...

Limited (DDIL) communications environments, supporting local processing at the edgeBuilding streaming ingestion, event pipelines, and batch/stream processing workloads using technologies like Apache Flink and/or Apache SparkImplementing metadata, lineage, and catalogue capabilities along with policy-based security and governanceJob Requirements:Extensive experience as a data/ ...

DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical POCs**o Technical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirementso Design, execute and lead ...

frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).Apply architectural patterns for data lakes, streaming, and batch processing.Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.Technical POCsTechnical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirementsDesign, execute and lead POC’s involving Cloud ...

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 ...

continuous system tuning. Stay hands-on: design reviews, architecture decisions, and code where it matters most. What you’ll work with Compute & orchestration: Spark, Flink, Beam, Airflow, Dagster, Kafka, PubSub Storage & analytics: data lake and warehouse architectures, Parquet, Iceberg, Delta Lake, BigQuery, Snowflake Metadata & data quality: lineage systems, metadata ...

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 ...

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 ...

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). Experience 35 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-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks ...

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). Experience 35 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-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks ...

efficiency in data integration and automation for analysts. The ideal candidate will possess extensive experience in distributed systems and open-source technologies like Apache Flink and Spark. Benefits include a matched pension scheme, generous holiday allowance, and various health plans. #J-18808-Ljbffr ...

scalable, resilient solutions that enable advanced analytics, operational intelligence and AI-driven use cases. The role requires deep JVM expertise, experience with Spark/Flink, and strong cloud/DevOps capabilities. You will mentor peers, contribute to architecture decisions, and ensure high standards of software quality across the platform. ...

logic using modern tooling (e.g. dbt, Spark, SQL-based frameworks) with a focus on clarity and reliability. Contribute to streaming data pipelines (Kafka/Flink or equivalent) to support near real-time data use cases. Apply data quality checks and validation to ensure accuracy and consistency of data assets. … . Familiarity with cloud-based data platforms, ideally AWS. Understanding of data pipeline design and ETL/ELT patterns. Exposure to streaming technologies (Kafka, Flink, or similar) is beneficial. Awareness of data quality, testing, and monitoring practices. Ability to work with stakeholders to understand requirements and deliver data solutions. ...

data transformation logic using modern tooling (e.g. dbt, Spark, SQL‐based frameworks), ensuring consistency and testability. Build and optimise streaming data pipelines (Kafka/Flink or equivalent) to enable near real‐time data availability. Ensure data quality and reliability through validation frameworks, observability, and robust handling of late‐arriving … . Experience with cloud‐based data platforms, ideally AWS. Understanding of medallion architecture or similar data layering approaches. Experience working with streaming technologies (Kafka, Flink, or similar). Strong understanding of data quality, testing, and observability practices. Experience designing schemas and handling data consistency challenges in distributed systems. Ability ...