51 to 64 of 64 Permanent Flink Jobs

build on shared infrastructure rather than creating one‐off tooling. Practical experience applying LLM and agentic tooling to engineering problems. Our stack: Flink, Doris, Dagster and Spark, plus OpenMetadata (or an equivalent such as Apache Atlas). Experience with comparable tools is just as relevant. Check out these videos ...

Hiring: Senior Data Engineer US Citizens Only Location: Richmond, VA (within 50 miles preferred) Work Arrangement: Hybrid Alternating schedule Week 1: 5 days onsite in Richmond Week 2: Remote This schedule repeats throughout the assignment. ...

applications for a Lead Data Engineer based in Glasgow. You will design and develop real-time data streaming solutions using Kafka Streams and Apache Flink, building scalable, low-latency data platforms to support critical business processes. You will influence architecture, standards, and collaboration with data scientists for model deployment. ...

data transformation logic using modern tooling (e.g. dbt, Spark, SQL‐based frameworks), ensuring consistency and testability. Build and optimise streaming data pipelines (Kafka/Flink or equivalent) to enable near real‐time data availability. Ensure data quality and reliability through validation frameworks, observability, and robust handling of late‐arriving … . Experience with cloud‐based data platforms, ideally AWS. Understanding of medallion architecture or similar data layering approaches. Experience working with streaming technologies (Kafka, Flink, or similar). Strong understanding of data quality, testing, and observability practices. Experience designing schemas and handling data consistency challenges in distributed systems. Ability ...

technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key Responsibilities Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across … implementing and owning event streaming platforms Hands‐on experience working with stream technologies, ideally Kafka Experience designing and implementing stream processing applications with Flink Experience working with cloud‐based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) Experience with Kubernetes (either self‐hosted or on the cloud) Experience ...

FDJ UNITED in London is seeking a Senior Software Engineer to help build and evolve our real-time liability and risk platform for sports betting. You will work on our Core Liability engine — a modular ...

financial workflows and frees finance and accounting teams from manual, administrative work. Founded in Berlin and used by more than 10,000 businesses including Flink, Schufa, n8n and Auto1, Moss has raised €220+ million to date and operates in Germany, the Netherlands, the UK and further EU markets. ...

isolation, row- and column-level security, and PII handling. Define the streaming and batch ingestion architecture, building on our investments in NATS JetStream, Apache Flink, and Debezium CDC patterns, and direct the engineering team on execution. Specify the catalog, lineage, and data-quality foundation and own the operational practice … data services (S3, Glue, Athena, Lake Formation, or equivalent) NATS/Apache Kafka or similar, and CDC patterns (Debezium or equivalent) Stream processing (Apache Flink, Spark Structured Streaming, or equivalent) SQL and query optimisation at scale Data and table formats (Parquet, Avro, Apache Iceberg or Delta Lake) Experience designing ...

data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks. Ensure all solutions comply with industry best practices, governance frameworks, and regulatory requirements, maintaining the highest standards … Lambda, Redshift , and related data services. Proven experience designing secure architectures within sensitive or highly regulated environments. Hands-on experience with Apache Flink and real-time data processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed ...

will transform the financial engineering impact by pioneering our real-time Liquidity Attribution Model (LAM)! You will architect high-throughput Kafka and Flink streaming pipelines that continuously process global bank transactions, dynamically balancing demand against supply intraday. This is an opportunity to architect low-latency streaming pipelines that deliver … Processing & Event-Driven Architecture: Proven track record building, deploying, and operating production‐grade, low-latency stream processing pipelines using Apache Kafka (or Kafka Streams, Flink, Spark Streaming). Idempotency & Event Reliability: Deep hands‐on experience handling duplicate events, out‐of‐order log processing, late‐arriving data, and exactly‐once ...

Observability portfolios. Your Impact As a Software Engineer you will: Design, build, test, and operate near real time data streaming-based (Spark/Flink) solutions for some of the largest Networking customers in the world. Develop agentic workflows, reusable skills, tool integrations, and orchestration capabilities. Integrate AI tools with … continuous integration and delivery workflow. Preferred Qualifications Deep knowledge and interest in real-time data processing with technologies such as Kafka Streams, ClickHouse, Flink, and similar. Familiarity with relational, document-based, or vector datastores. Familiarity with AI-assisted development tools such as Kosmos, Codex, or Claude. Understanding of containers ...

major step forward in scalability, resilience, and streaming architecture across our technology estate. Responsibilities Design and build distributed, real‐time streaming components within a Flink‐based architecture. Develop and maintain services that process the full bet lifecycle, from acceptance through settlement, cancellation, and cashout. Implement complex financial calculations, including … downstream systems, including trader‐facing tools. Experience 5+ years software engineering experience in building distributed systems. Excellent Java skills. Experience with streaming technologies (Apache Flink preferred; Kafka Streams, Spark Streaming, etc.). Solid understanding of event‐driven architecture and asynchronous processing patterns. Experience handling data consistency challenges such ...

contributing to architecture while remaining close to the codebase. You will contribute to the development of streaming solutions using technologies such as Kafka and Flink, supporting innovation and data-informed outcomes across Barclays. You will also help us shape engineering standards and ways of working, contributing … scalable systems together. Key Experience Experience working with real-time streaming applications using Kafka Streams, including KStream and KTable concepts. Experience working with Apache Flink solutions, including stateful processing, checkpointing, and fault-tolerant approaches. Experience working with high-throughput, low-latency data pipelines that process and transform large volumes ...

reliability, and performance of data pipelines and integrations across our data platform. The role will focus on testing Snowflake, SQL-based data transformations, Apache Flink pipelines, and end-to-end data integrations. The successful candidate will work closely with Data Engineers, Software Engineers, and other stakeholders to design … data accuracy, completeness, and reliability. SQL & Snowflake Testing: Validate data transformations, business rules, data models, and source-to-target reconciliation using SQL and Snowflake. Flink Pipeline Testing: Test streaming data processing, event handling, data consistency, and fault tolerance. Data Integration Testing: Verify end-to-end data flows between source ...