1 to 25 of 32 Remote/Hybrid Permanent Flink Jobs

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 ...

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 ...

workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data ...

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 ...

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 ...

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 ...

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 ...

complete data platforms rather than solely delivering individual components. Youll 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 ...

programming languages like Python or Java along with proficiency in SQL Experience working with cloud platforms (e.g., Azure) and big data technologies like Spark, Flink etc., Solid grasp of Kubernetes, CI/CD and Terraform Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow Hiring, developing ...

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 ...

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 ...

with data pipelines or a cloud data warehouse such as BigQuery, Snowflake or Databricks. Hands-on experience with batch or streaming frameworks like Beam, Flink or Spark is a plus. You have a working understanding of data engineering concepts such as orchestration, metadata management, data quality, governance and lineage. ...

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 ...

deep expertise in all of these on day one. You've worked with Apache Iceberg or JVM-based processing frameworks like Spark, Beam or Flink, or with a cloud data warehouse such as BigQuery, Snowflake or Databricks. You think in systems and can connect the dots when a problem ...

database environments Excellent communication and cross-functional collaboration skills A passion for continuous learning and innovation Desirable skill: Databricks Azure Fabric Confluent/Apache Flink Knowledge Grow with Acorn At Acorn Insurance, we're proud of our Liverpool roots - and even prouder of how far we've come. ...

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 ...

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 ...

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 ...