1 to 25 of 75 Flink Jobs in London

data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience ...

data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience ...

distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience ...

including command-line administration and troubleshooting. Solid experience with SQL or data pipeline technologies, Experience with data processing frameworks such as Apache Airflow, Apache Flink or Google Dataflow, with a practical understanding of ETL pipeline design and the ability to diagnose issues across data transformation and scheduling workflows. Demonstrable ...

Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop). Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis). End-to-end exposure to data pipeline lifecycle ...

.Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).End-to-end exposure to data pipeline lifecycle development, including ...

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 ...

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 ...

bachelor's degree in a relevant field or equivalent practical experience.Useful, but not required• Event streaming or real-time processing with Kafka, Kinesis, Flink, Spark Structured Streaming, or similar technologies.• Distributed processing with Spark and familiarity with Parquet, Avro, JSON, and open table formats.• Search or retrieval systems such ...

blocking framework (Vert.x, SpringWebFlux, or equivalent) and asynchronous, event-driven service design. Deep experience with stream processing and event-driven architecture - Kafka Streams, Apache Flink, or equivalent - including stateful streaming, topology design, and managing local state stores (e.g.RocksDB) at scale. Proventrack recordbuilding high-throughput, low-latency systems where tail ...

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 ...

covering ingestion, streaming, storage, processing, and analytics Architect and guide event-driven and streaming data solutions using Kafka (Confluent Platform/Confluent Cloud); Apache Flink experience is a plus Define and maintain infrastructure-as-code using Terraform, including cloud resources, networking, and platform services Contribute directly to platform components ...

targeting methodologies in ad tech—understanding how data flows through the ecosystem and where privacy constraints applyPreferred: experience with real-time streaming technologies (Kafka, Flink) and familiarity with Aerospike or similar low-latency key-value stores used in high-throughput targeting systemsWhat We're Proud OfAdAge Best Places ...

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 ...

development. Proficiency in SQL and programming languages such as Python, Java, or Scala. Hands‐on experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). ...

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 ...

Spring components, including Spring Data JPA. Experience with containerisation technologies such as Docker and Kubernetes. Experience with stream processing frameworks such as Apache Flink is a plus but not required. Familiarity with SSO mechanisms including OpenID is a plus but not required. A basic understanding of core microservice components ...

Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python ...

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 ...

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 ...

least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...

least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...

least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ ...