1 to 25 of 27 Remote/Hybrid Flink Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 but you will need ...

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 ...

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 ...

collect, store and analyse data at scale. You will mentor engineers, drive architectural decisions, and deliver end-to-end streaming solutions using Kafka, Flink, and AWS on a hybrid London-based team. This is a high-impact role in a fast-growing fintech environment. #J-18808-Ljbffr ...

technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key Responsibilities Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across … implementing and owning event streaming platforms Hands‐on experience working with stream technologies, ideally Kafka Experience designing and implementing stream processing applications with Flink Experience working with cloud‐based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) Experience with Kubernetes (either self‐hosted or on the cloud) Experience ...

with strong experience in streaming technologies, event-driven architecture, and distributed data systems. The Role Design and build real-time data pipelines using Apache Flink , Apache Kafka , and AWS Kinesis Develop scalable event-driven and streaming solutions Integrate data from source systems including Oracle, MySQL, and Sybase Build data … quality capabilities Deliver low-latency data into enterprise data platforms Create and manage infrastructure using Terraform Skills & Experience Strong commercial experience with Apache Flink Strong experience with Apache Kafka Experience with AWS Kinesis Advanced SQL skills and strong relational database knowledge Experience working with Oracle, MySQL, and Sybase Hands ...

data available to other teams and systems. Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling.**What You'll Do:*** Write highly fault-tolerant Java code within Apache Spark to produce platform products used …/cloud development and data platform engineering roles* 5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP* 5+ years of experience programming with Java, Scala or Kotlin.* Proven experience owning robust feature/ ...

architecture that scales with the product and the company. Your Contribution Will Be The stack is modern: StarRocks as our primary analytical layer, Flink for processing, DBT for transformation, Airflow for orchestration and various tooling for surfacing insights. The hard work of making it genuinely reliable is still … evolving data engineering standards, architectural guidelines and governance, ideally within a regulated environment. Strong Python and SQL skills. Hands‐on experience with Spark or Flink in production. DBT for data transformation. StarRocks or a comparable analytical database. Experience building and operating data pipelines in AWS and/or GCP. ...