12 of 12 Apache Jobs in the City of London

engineers and support code reviews, design reviews, and engineering best practices. Your Skills: Strong hands-on experience with Databricks on AWS. Strong experience with Apache Spark/PySpark. Excellent programming skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. Experience with Spark ...

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 ...

statistics skills: distributions, statistical testing, regression analysis Cloud management and deployment – A strong background in different cloud platforms like Amazon AWS, Microsoft Azure, OpenStack Apache, and Google Cloud Platform Databases – A familiarity of working with different databases such as Postgres, MySQL, NoSQL (e.g., MongoDB), Redis is recommended. Web technologies ...

environment. Key Responsibilities Design, develop and maintain scalable data pipelines using Python and Databricks. Build, optimise and support enterprise ETL/ELT workflows using Apache Spark and Delta Lake. Design and develop robust data models and Lakehouse architectures. Implement and manage data workflows within the Databricks ecosystem. Ensure high … commercial experience developing data engineering solutions using Python . Extensive hands-on experience with Databricks , including Workflows, Notebooks and Delta Lake. Strong experience with Apache Spark/PySpark . Proven experience building scalable ETL/ELT pipelines. Strong SQL and data modelling skills. Experience designing modern Lakehouse architectures. Experience ...

ideal candidate will have a strong programming background in Python or Java, knowledge of SQL, and experience with data processing frameworks such as Apache Spark. Responsibilities include enhancing data pipelines, ensuring data quality, and collaborating with engineering teams. The position is located in London and offers significant growth opportunities ...

data models and outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

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 ...

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 ...

root‐cause analysis. Experience building or supporting production data pipelines in a collaborative engineering environment. Experience working with distributed data processing frameworks such as Apache Spark . Working knowledge of common data formats such as JSON , Avro and Parquet . Technology Environment The role will involve working with … should bring relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised ...

production-grade solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer . Frameworks & Storage: Strong understanding of batch/streaming tools (e.g., Apache Spark, Apache Beam ) and when to apply different storage paradigms (relational, columnar, document, data lakes). Modern Best Practices: Active practice with version ...

experience supporting product launches from concept through to market. Strong intellectual property expertise, particularly copyright risk and open-source licensing, including CC-BY-4.0, Apache 2.0, and MIT. Strong understanding of AI-related legal, regulatory, and commercial considerations. Experience partnering closely with product, engineering, and technology teams. Track record ...

bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than … Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io. About this role: At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. ...