1 to 25 of 64 Permanent Flink Jobs

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 ...

using streaming ingestion and delivering real time analytics, to help our clients respond to customer behaviour as it happens using Confluent, Apache Kafka, Spark, Flink or similarAbility to conduct a full technical assessment of existing platform as-is architecture and identify the to-be landscapeProviding subject matter expertise ...

across our evolving platform stack — from data ingestion and event processing to REST services and internal toolingArchitect and scale streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads.Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with ...

contribute to engineering best practices Skills & Experience * 3+ years' commercial experience in Data Engineering * Strong Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes ...

stores).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 ...

Linux, PowerShell, Shell Scripting, HTML and CSS.Different types of database, e.g. Google Cloud Spanner, Firestore, Bigtable and BigQuery, as well as MongoDB, MySQL, Flink, Cassandra, SQL Server, Postgres. Developing schema for supporting business logic and data.Microservices architecture, including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift, AWS Lambda, Cloud ...

large request volumes, large data volumes, or both.Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies.Strong production Python experience and awareness of other relevant languages (Java/Kotlin) sufficient ...

Java/Scala and a scripting language like Python.Experience building large scale data pipelinesStrong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc.Experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, DynamoDBFamiliarity with containerized ...

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 systemsOur LaurelsAdAge Best Places to Work ThinkLA Partner ...

Looking ForStrong commercial experience in data engineering and modern data platforms.Advanced programming skills in Java or Python.Expertise working with technologies such as Kafka, Spark, Flink or similar distributed data frameworks.Experience delivering solutions within AWS or other major cloud platforms.Strong understanding of data architecture, scalability and performance optimisation.Experience working with ...

work.Required QualificationsProfessional experience in a software development role using GitHub copilot and agentic AI toolsStrong Experience in Java using Spring or Apache Flink Frameworks in Unix and Windows environmentsDemonstrable knowledge of cloud compute principles using AWS, Azure, or Google CloudExperience in SQL and knowledge of relational and/ ...

commercial experience in data engineering and modern data platforms. Advanced programming skills in Java or Python. Expertise working with technologies such as Kafka, Spark, Flink or similar distributed data frameworks. Experience delivering solutions within AWS or other major cloud platforms. Strong understanding of data architecture, scalability and performance optimisation. ...

ArgoCD, Prometheus, Grafana and OpenTelemetryStrong problem-solving skills and a systematic approach to diagnosing and resolving issuesHighly desirable skillsExperience with streaming frameworks such as Flink, Kafka Streams and Kafka ConnectKnowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data CatalogExposure to DataOps practices and collaboration with ...

technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data.Key ResponsibilitiesWork with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platformLeverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst ...

production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool ...

data platform layer — designing systems that move, transform, and serve data in real time. You'll own the architecture around stream processing (RisingWave, Flink), drive adoption of AI-powered automation and workflows across the data stack, and build the platform primitives that the rest of engineering depends on.The opportunityLead ...

production Python systems Strong experience with microservices, databases, and production infrastructure Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness Experience with testing, monitoring, and debugging ...

driven environmentsKnowledge of non-financial regulatory domainsFamiliarity with data governance tools and metadata management platformsExperience with event-driven architectures or streaming platforms (e.g., Kafka, Flink)Exposure to containerisation and orchestration (Docker, Kubernetes)Strong understanding of controls, auditability, and regulatory expectations in large financial institutionsAbility to influence and collaborate across ...

Ansible) Test Driven Development with relevant tools/frameworks Containerisation and orchestration (Kubernetes, Docker, ECS/EKS, AKS) Knowledge of event streaming technologies (Kafka, Flink) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

modern state management tools (Redux/Context API).API & Event Integration: Design RESTful APIs, gRPC services, and event-driven architectures leveraging Kafka and Flink for real-time data processing.Cloud & DevOps: Deploy and maintain cloud-native applications on AWS and Kubernetes while supporting automated CI/CD pipelines.Technical Leadership: Mentor ...

Linux, bare metal and virtual machines· Provisioning: Puppet, Kickstart, RPM· Languages: Bash, Ruby, Python, Java, Clojure· Security: Kerberos, SELinux, LDAP· Big Data: HDFS, Flink, Kafka· Containers: Docker, KVM· Schedulers: YARN, KubernetesYou will be joining a progressive and exciting company committed to excellence. They offer an excellent working environment with ...

maintaining production Python systemsStrong experience with microservices, databases, and production infrastructureExperience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctnessExperience with testing, monitoring, and debugging complex systems ...

implementing batch and stream data processing systems.Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, Cloudwatch), GCP (BigQuery).Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial.Good understanding of AI platforms, experience building the infrastructure for LLM orchestration (e.g., Vector DBs, RAG pipelines, or GPU scaling ...

applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark/Dask/Ray/Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount ...

applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark/Dask/Ray/Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount ...