11 of 11 Apache Jobs in the City of London

quality and consistency across platforms while complying with governance policies. What You Bring: Core Development Skills: - Proficient in Python and SQL, with experience in Apache Spark. - Strong experience building backend services and APIs. Database Expertise: - Solid understanding of relational databases (SQL Server, PostgreSQL) and distributed NoSQL databases (Cassandra, MongoDB ...

market data engineering with proven experience building reliable, scalable data platforms. Our non-negotiable requirements are: Expert Python Strong SQL Scalable data pipeline development Apache Parquet Market data normalisation Automated data quality controls Deep tick and market data expertise Experience in MLOps is advantageous but not essential. We welcome ...

preferred knowledge of AI infrastructure. Proficiency in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem‐solving skills and ability to work in a fast‐paced environment. Excellent communication and collaboration skills. Proven experience ...

security controls. Monitor, maintain and optimise data platforms to ensure performance and reliability. Skills and Experience Required: ETL development using Python or similar languages Apache Spark, NiFi, or Kafka Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases AWS and cloud-based data services Palantir Foundry Stakeholder Engagement Why Apply ...

knowledge of AI infrastructure. Good proficiency in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem‐solving skills and ability to work in a fast‐paced environment. Excellent communication and collaboration skills. Significant experience ...

preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud platforms (ideally AWS) and cloud-based data science solutions. DataOps principles and practices. Structured and unstructured databases. ...

replication tool, and Waggle Dance, a federation service that allows access to data lake tables across multiple catalogs. Recently, we added Hive support to Apache Iceberg, a high-performance open table format for large analytic datasets that underpins many modern Lakehouse architectures. We guarantee you'll learn ...

latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about ...

infrastructure. Well versed and proven experience in programming languages such as Python, Java, or C++. Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Kubeflow). Strong problem‐solving skills and ability to work in a fast‐paced environment. Excellent communication and collaboration skills. Longstanding experience ...

interactive user interfaces using Core Java, Kotlin, Spring Boot, and ReactJS. Real-Time Data Processing: Build and maintain scalable event-driven architectures utilizing Apache Kafka and Apache Flink for real-time risk data streaming. API & Integration Engineering: Design, implement, and maintain high-performance RESTful APIs and gRPC services … Cloud Services, Kubernetes. Additional Technical & Functional Competencies Frontend Architecture: TypeScript, JavaScript (ES6+), Redux/Context API, HTML5, CSS3, REST/gRPC integration. Streaming & Messaging: Apache Kafka, Apache Flink. APIs & Protocols: RESTful web services, gRPC, JSON, Protocol Buffers. Core Computer Science: Strong mastery of data structures, algorithms, object-oriented ...

bespoke integration approaches for source-system onboarding. Define conceptual, logical and physical data models, including data flows, data domains and data ownership considerations. Specify Apache NiFi architecture patterns, flow standards, interface contracts and reusable ingestion components. Define governance, metadata, lineage, auditability, security monitoring and data quality requirements. Produce High … lake architectures on AWS. Strong knowledge of AWS security, IAM, networking, storage and data platform services relevant to secure data engineering. Extensive experience with Apache NiFi architecture, flow design, governance and operational considerations. Experience designing integrations using REST APIs, SOAP services, file transfers, batch ingestion, legacy adapters and bespoke ...