1 to 25 of 193 Apache Jobs in the UK excluding London

tracks (we'd love depth in one of these; you don't need all of them) Azure/Databricks Azure Data Lake Storage, Databricks, Apache Spark, Delta Lake, Azure Data Factory, MLflow; and, for the AI edge, Databricks Mosaic AI, Vector Search and Unity Catalog, or Azure OpenAI, Azure ...

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 ...

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 ...

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 ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking ...

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 ...

/ML use cases. Required Skills & Experience Strong hands-on experience in Data Engineering with delivery of production-grade solutions. Expertise in PySpark, Apache Spark, Python, and SQL. Strong experience designing and optimizing complex data pipelines and ETL/ELT frameworks. Hands-on experience with AWS services including ...

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 ...

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 ...

stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT. Experience working with and designing infrastructures for large‐scale ...

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 ...

control systems such as Git. Knowledge of cloud-based data platforms and modern data engineering practices. Desirable Skills Experience with Scala development. Experience with Apache Spark or other distributed data processing frameworks. Experience with Kafka, Event Hubs, or other streaming technologies. Exposure to cloud platforms such as Azure ...

understanding of Quantexa components such as: Entity Resolution (ER) Scoring Framework Contextual Network Generation UI Configuration Strong background in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills – capable ...

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 ...

engineering teams. Strong Python and SQL skills, with experience working with large-scale datasets and distributed data processing environments. Experience with technologies such as Apache Spark and modern data engineering frameworks. Experience with cloud platforms and data services, ideally AWS, including technologies such as Redshift and S3. Experience working ...

with the Lead Data Engineer and partnering with data science, analytics and product teams. Key responsibilities * Build and maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows for reliability and performance * Contribute to lakehouse architecture and medallion pattern implementation * Implement ...

data transformation and orchestration processes Extensive Experience with AWS services including IAM Lambda EKS S3 Data Lake EMR PySpark MWAA and Lakehouse technologies, Apache Iceberg Proven expertise with Snowflake including performance tuning and efficient query design Experience with batch pipelines eg StreamSets and streaming technologies eg Kafka Nice ...

data processing. Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security ...

Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines ...

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 Reporting tools ...

large-scale data processing.Proficiency in SQL, Python, and PySpark, with experience in query optimization and performance tuning.Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar).Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.).Strong understanding of data quality, security, and lineage best ...