1 to 25 of 355 Apache Jobs in England

services for personalisation· Developing Java/Spring Boot microservices with REST/gRPC APIs· Working with Kafka and event-driven architectures· Building pipelines using Apache Flink and Apache Beam· Integrating ML models and feature stores· Working with NoSQL databases and Redis caching· Using Apache Camel for integration … Familiarity with stream processing concepts· Knowledge of distributed systems· Strong communication and teamwork skills· Interest in data-driven personalisation systemsNice to have· Experience with Apache Flink and Apache Beam· Experience with Kafka· Familiarity with Apache Camel· Experience with NoSQL databases (Cassandra, DynamoDB) and Redis· Cloud experience ...

platform at scale, ideally in a 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 ...

wider stakeholders. Technical Environment Experience with some of the following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure as Code Modern data platforms and distributed processing ...

using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence ...

supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

code reviews.Strong understanding of modern software engineering and DevOps practices.Experience working within Agile delivery methodologies.Deep expertise in the Databricks Data Intelligence Platform, including Apache Spark, PySpark, Delta Lake, Unity Catalog, Databricks SQL, Lakeflow, Mosaic AI ,AI/BI Genie and Agent Bricks. Strong experience designing and delivering production-grade ...

analysis and returning the results to various business systems.We build on a vast variety of technological stacks, from building products on top of Apache Kafka, Apache Spark, and Apache Beam to integrating Neo4j into Google Dataflow Templates and Microsoft Fabric. We also build backend components … ideally have professional experience developing software systems, either in cloud or on-premises, involving either of the following;Distributed event streaming platforms, such as Apache Kafka or similar products,Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives,Data warehouses ...

expected to be up to 10% but may increase over time as the business evolves.Desired QualificationsExperience working with distributed data processing frameworks, including Apache Spark.Exposure to advanced analytics or AI‐adjacent data use cases, including preparing data for machine learning or intelligent applications.Familiarity with additional Azure services such ...

expected to be up to 10% but may increase over time as the business evolves. Desired QualificationsExperience working with distributed data processing frameworks, including Apache Spark. Exposure to advanced analytics or AI‐adjacent data use cases, including preparing data for machine learning or intelligent applications. Familiarity with additional Azure ...

pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong commercial experience building production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with data modelling. ...

build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. Implement continuous integration ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. Understanding ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

Python, Java or Scala, and SQL. Hands-on experience building and operating large-scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud-native data platforms ...

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.Implement continuous integration and continuous deployment ...

value. Excellent analytical, problem-solving, and communication skills. Proven experience leading data modernisation initiatives across multiple sectors. Technical Expertise Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog. Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation). Hands-on expertise ...

measurable value.• Excellent analytical, problem-solving, and communication skills.• Proven experience leading data modernisation initiatives across multiple sectors.Technical Expertise• Proficiency with big data technologies: Apache Spark, Kafka, Confluent, Databricks, Unity Catalog.• Strong knowledge of cloud ecosystems (AWS, Azure, GCP) and infrastructure-as-code (Terraform, CloudFormation).• Hands-on expertise ...

React, Node) using Webpack, Typescript, and GitHub.Experience with Docker and/or Kubernetes and containerized deployments (AKS).Experience with workflow orchestration tools such as Apache Airflow or n8n.Experience of code quality, test, CI/CD and package managers such as Jest, Lint, Brigade, and Helm.Experience with Kafka and event ...

clean, maintainable, and efficient code, ensuring adherence to best practices through code reviewsBig Data EngineeringDesign, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache AirflowOptimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performanceDevelop and fine-tune complex queries using Apache … related field (or equivalent experience)8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark and Apache AirflowAdvanced SQL skills, with expertise in query optimisation for large datasetsExpertise in developing APIs and robust backend services, with strong ...

efficient code, ensuring adherence to best practices through code reviews Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow Optimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performance Develop and fine-tune complex queries using … Apache Spark for large-scale datasets Monitor, troubleshoot, and improve data systems to minimise downtime and maximise efficiency Collaboration & Mentorship Partner with analytics, software engineering, and other teams to deliver integrated, high-quality solutions Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data ...