1 to 25 of 29 Remote/Hybrid Flink Jobs

following would be beneficial but not essential: Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) Relational, NoSQL, graph and vector databases Streaming technologies (Kafka, Kinesis, Flink, etc.) Containers and related services (Docker, Kubernetes, container Registries, etc) Data modelling approaches (Kimball, Imnon) Orchestration tools - Apache Airflow, Prefect or cloud-native tools ...

Experience with additional languages such as TypeScript, Go, Java or Rust. Experience with big data and real-time processing technologies, such as Apache Spark, Flink or Kafka Streams. Relevant cloud certifications, such as AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert or Google Cloud Professional Cloud Architect. Experience ...

that power intelligent decision-making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using … junior engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software ...

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 ...

cloud strategy — contributing to cloud adoption initiatives, deploying Citi APIs on AWS and Azure Working with event streaming and messaging systems including Kafka, Flink, and Solace at enterprise scale This is a rare opportunity in financial services — a stable, well‐funded platform with the freedom to keep building ...

modelling: designing schemas and storage for relational databases, warehouses or lakehouses, and understanding when each fits. Distributed processing: working with systems such as Spark, Flink or Beam, including how partitioning, parallelism, skew, memory, failures and ordering affect results. Platform experience Cloud and infrastructure as code: building infrastructure with tools ...

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 ...

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 ...

data platforms rather than solely delivering individual components. You’ll need experience across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated ...

data platforms rather than solely delivering individual components. You'll need experience across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated ...

design sessions Confidence communicating with technical and non-technical stakeholders, and challenging constructively Desirable: SQL Server or on-prem to cloud migration, Apache Flink, regulated industry experience If you'd rather shape a platform than inherit a finished one, and want a seat at the table while ...

where people feel safe to challenge ideas, learn, and grow. Nice to have Hands-on familiarity with the modern data stack — for example, Spark, Flink, Kafka, Debezium, Airflow, dbt, or similar — and with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices. Experience leading teams that built ...

when existing technology should be evolved or replaced. Your experience should include: Batch processing, data warehousing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. Production AWS data engineering. AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table ...

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 ...

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 ...

comfortable working with large-scale datasets using SQL and platforms such as BigQuery. You have experience with JVM-based data processing frameworks such as Flink, Beam, Dataflow, or Spark. You are familiar with DevOps practices, cloud infrastructure, containerized applications, and Kubernetes fundamentals. You have experience with data modeling ...

fundamentals of distributed systems Strong proficiency in Java, Scala, or similar languages Proven hands-on experience with streaming and data pipeline technologies - Kafka, Spark, Flink, or similar Experience with cluster coordination tools like Zookeeper Hands-on experience with container technologies such as Docker and Kubernetes for deploying and managing ...

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 ...

Companys hybrid work from home policy. Qualifications Commercial GCP background including BigQuery, Dataform and GCS Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python Relational set-based processing through complex SQL queries Proven ability to leverage AI within a production workflow Background working within a Data ...

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 ...

architecture. Experience building products on cloud-native, SaaS platforms. Familiarity with our stack is useful: AWS, Python, Rust, Django, Postgres, ClickHouse, EC2, CloudFront, Kinesis, Flink, Lambda, Amazon MQ, Terraform, React, and Next.js. Experience with modern CI/CD and teams that ship to production frequently. Leadership & Delivery Experience leading ...

home policy. Preferred Skills and Experience Commercial experience with web client or server-side development Proficiency with Golang, TypeScript, React, SQL, Kafka or Apache Flink Background delivering software in continuous change environments Familiarity with AI tools to enhance developer productivity Clear technical communication with cross-functional stakeholders Proven grasp ...

home policy. Preferred Skills and Experience Commercial experience with web client or server-side development Proficiency with Golang, TypeScript, React, SQL, Kafka or Apache Flink Background delivering software in continuous change environments Familiarity with AI tools to enhance developer productivity Clear technical communication with cross-functional stakeholders Proven grasp ...

hybrid work from home policy. Qualifications Commercial experience with web client or server-side development Proficiency with Golang, TypeScript, React, SQL, Kafka or Apache Flink Background delivering software in continuous change environments Familiarity with AI tools to enhance developer productivity Clear technical communication with cross-functional stakeholders Proven grasp ...