16 of 16 Remote Flink Jobs

maintaining data pipelines. Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow. Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and More ❯

solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed understanding More ❯

pipelines , data modeling , and data warehousing . Experience with cloud platforms (AWS, Azure, GCP) and tools like Snowflake, Databricks, or BigQuery . Familiarity with streaming technologies (Kafka, Spark Streaming, Flink) is a plus. Tools & Frameworks: Airflow, dbt, Prefect, CI/CD pipelines, Terraform. Mindset: Curious, data-obsessed, and driven to create meaningful business impact. Soft Skills: Excellent communication and More ❯

and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

messaging (Kafka, Kinesis, NATS, SQS, Pub/Sub) * Observability stacks (OpenTelemetry, Prometheus, Grafana) * IaC (Terraform), security-by-design, OAuth/OIDC, secrets management * Batch & streaming data processing (Spark/Flink/Beam) or columnar analytics (Parquet/Arrow) Career Paths (we're hiring multiple profiles): * Go Backend (API-first): Own product APIs, performance, reliability. * Go Platform (ML-first): Focus More ❯

Nice to haves: Experience with NoSQL databases (MongoDB, Cassandra, Redis). Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face, LangChain). Experience working with AI-driven development tools such as Cursor, Copilot, or Replit More ❯

on when needed. Nice to haves Experience leading technical discovery or architecture definition in a scaling SaaS or fintech environment. Familiarity with event-driven or streaming architectures (Kafka, Apache Flink, etc.). Practical exposure to AI/LLM orchestration frameworks or fine-tuning workflows. Experience designing developer tools, data platforms, or intelligent systems. Interest in or experience mentoring engineers More ❯

financial services Exposure to Databricks, container orchestration (e.g. Kubernetes), or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You'll work on meaningful problems using More ❯

and constructive feedback to foster 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 Environments: Proficient with large-scale More ❯

practical experience building and running such systems in production. Strong coding skills in Java/Python and familiarity with CI/CD. Hands-on with some of: Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores. Proven ability to work independently, make sound tradeoffs, and deliver quality outcomes with minimal supervision. Solid debugging, performance analysis, and More ❯

Java – if you haven’t 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 encouraged but you will need More ❯

Java – if you haven’t 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 encouraged but you will need More ❯

Java – if you haven’t 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 encouraged but you will need More ❯

Java – if you haven’t 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 encouraged but you will need More ❯

Java – if you haven’t 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 encouraged but you will need More ❯

Your work will establish the foundation for the future of eBay's data platform infrastructure. We are seeking Data Platform Software Engineers, not Data Engineers. While familiarity with Spark, Flink, and other tools in the Hadoop environment is a definite advantage, your focus will be on building the data platform rather than just creating data pipelines. If you are … in Java/Python (or equivalent) and in infra-as-code, CI/CD, and containerized environments. Hands-on deep internal expertise in several of the following: Kafka/Flink, Spark,, Delta/Iceberg, GraphQL/REST APIs, RDBMS/NoSQL, Kubernetes, Airflow. Experience building both streaming and batch data platforms, improving reliability, quality, and developer velocity. Demonstrated ability More ❯