26 to 50 of 56 Remote Flink Jobs

CD tools (e.g. Jenkins, TeamCity) Know about docker, Kubernetes, and AWS services Have experience with Scala or Python programming languages Experience with spark and flink is advantageous Proactive self-starter who takes ownership, is comfortable with ambiguity and is able to drive the project and mentor team members Passionate More ❯

each team leverages the technology that fits their needs best. You'll see us working with data processing/streaming like Kinesis, Spark and Flink; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive load all deployed More ❯

each team leverages the technology that fits their needs best. You’ll see us working with data processing/streaming like Kinesis, Spark and Flink; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive load... all deployed More ❯

data engineering including design, development and implementation of complex systems and data pipelines. Experience working with data streaming/batch solutions such as Kafka, Flink, Spark, Storm, or others. Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Family Planning Support Mental Health More ❯

including Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feathr, etc. We also work with industry standard open source infrastructure technologies like Kubernetes, GRPC, Apache Flink, and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. As More ❯

AND EXPERIENCE The successful Senior Data Platform Engineer will have the following skills and experience: Java Spring Boot Cloud (ideally AWS) Kafka (Kenisis or Flink will be considered) BENEFITS The successful Senior Data Platform Engineer will receive the following benefits: Salary up to £85,000 – depending on experience Semi More ❯

accountability, growth, and collaboration within the team. Who You Are Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark. Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments. Skilled in Cloud-based More ❯

accountability, growth, and collaboration within the team. Who You Are Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark. Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments. Skilled in Cloud-based More ❯

been siloed in a big firm then don’t worry. 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 community My client is based London. Home work is More ❯

been siloed in a big firm then don’t worry. 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 community My client is based London. Home work is More ❯

been siloed in a big firm then don’t worry. 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 community My client is based London. Home work is More ❯

Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud More ❯

platform performance, user engagement, and operational efficiency. What We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of More ❯

platform performance, user engagement, and operational efficiency. What We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of More ❯

platform performance, user engagement, and operational efficiency. What We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of More ❯

platform performance, user engagement, and operational efficiency. What We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of More ❯

platform performance, user engagement, and operational efficiency. What We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of More ❯

accountable Ideally experienced in server-side multi-threaded Java (experience outside large firms is acceptable) Additional exposure to the following is desired: Hadoop and Flink Involvement in the Java community The client is based in London. Remote work is encouraged, but you will need to be able to come More ❯

threaded Java – even if you haven’t been in a large firm, don’t worry. Additional exposure to the following is desired: Hadoop and Flink Involvement in the Java community My client is based in London. Home working is encouraged, but you will need to be able to come More ❯

Senior Data Engineer (Flink) *Unfortunately, we are unable to offer visa sponsorship for this role* Are you passionate about data engineering, sustainability, and high-impact problem-solving? Do you have experience working with stream data processing using Flink? Our partner is an innovator within telecommunications and is looking … Engineer Strong expertise in Python & SQL with a deep understanding of data storage solutions (Postgres, Timescale, DBT). Experience with batch & stream data processing (Flink, Kinesis, Spark). Familiarity with DevOps practices (CI/CD, Terraform, GitHub Actions). AWS ecosystem knowledge & UNIX scripting skills. A passion for time More ❯

UK team, which consists of Sales Engineer, Implementation, Marketing, CSM and Support. Some of our clients include companies such as Rituals, Swarovski, Reiss, Elysium, Flink, HMV, Odeon, and many others. What you’ll be doing Managing the entire sales cycle from finding a client to securing a deal; Building More ❯

best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with … RDS, Lambda, and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with Apache Flink for real-time data processing Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment More ❯

around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS, using: Kafka as our message transport Flink for (near) real time processing Datahub as our catalog Snowflake as our warehouse Airflow for scheduling DBT for data transformation Montecarlo for monitoring The … working with stream technologies, ideally Kafka, but Kinesis, Pulsar or similar would also be applicable. Experience designing and implementing stream processing applications (kStreams, kSQL, Flink, Spark Streaming). Experience with Data Warehousing tools like Snowflake/Bigquery/Databricks, and building pipelines on these. Experience working with modern cloud More ❯

At Elanco (NYSE: ELAN) – it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. We’re driven by More ❯

and explaining features like KRAFT. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink, and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. Implementing security measures to protect Kafka … Extensive experience with Apache Kafka and real-time architecture including event-driven frameworks. Strong knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink, and Beam. Experience with cloud platforms such as GCP Pub/Sub. Excellent problem-solving skills. Knowledge & Experience/Qualifications Knowledge of Kafka data More ❯