1 to 25 of 60 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 ...

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 ...

experience with Python, SQL and modern software engineering practices.Experience building large-scale batch and streaming data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalent.Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms.Strong understanding of analytical data modelling, dimensional modelling, semantic modelling ...

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 ...

platforms such as 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 and interpersonal skills.Additional ...

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 ...

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 ...

Cursor, or AI-assisted coding CLI workflows) to accelerate code generation, refactoring, and daily execution. Message-Driven Architecture: Hands-on experience with Kafka, Apache Flink, or equivalent real-time event-streaming platforms. Containers & Data: Proficiency with Docker, Kubernetes, and relational databases (MS SQL, Sybase). Delivery Automation & Monitoring: Strong ...

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 ...

microservices and REST APIs • AWS, including Lambda • Kafka and distributed streaming • Databricks for data processing • SQL and NoSQL databases • Docker and Kubernetes Spark/Flink, Python, CI/CD, Datadog or Prometheus experience is a strong advantage. Interested and can start ASAP, please apply. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

should meet the following requirements:Deep expertise in real-time data processing, streaming architectures and event-driven systems using technologies such as Kafka, Flink, Spark or equivalentStrong experience of enterprise integration, distributed systems and transformation patterns for high-volume, low-latency and highly available services Proven delivery of complex ...

deep understanding of core Java, data structures and concurrency, not just framework knowledge Hands-on experience with Kafka and event-streaming frameworks such as Flink, Kafka Streams or Spark Practical Kubernetes experience, including troubleshooting production issues Experience tuning JVM performance - garbage collection, CPU hotspots and heap dump analysis ...

clearance alongside NPPV3 Functional/typed Scala — Cats, Cats Effect, FS2, http4s, Circe — a strong plus Streaming/big-data frameworks (Kafka, Spark, Flink) for integrating with partner pipelines Government, policing or law-enforcement data experience Data lineage, provenance, audit or integrity/verification tooling Secure-by-design development ...