426 to 450 of 990 Apache Jobs in the UK

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

packages. 8. Strong analytical, problem-solving, and critical thinking skills. 9. Experience with social media analytics and understanding of user behaviour. 10. Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 11. Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 12. Experience with data governance and security More ❯

tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka. 10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend. 11.Experience with data governance and security best practices More ❯

In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and a … data processing workloads Implement CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Build and optimize large-scale data processing pipelines using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning More ❯

Platform. You're really awesome at: Object oriented programming (Java) Data modelling using any database technologies ETL processes (ETLs are oldschool, we transfer in memory now) and experience with Apache Spark or Apache NiFi Applied understanding of CI\CD in change management Dockerised applications Used distributed version control systems Excellent team player Meticulous and passionate about your work More ❯

software teams Embrace variety and challenge Desirable Experience: Proficiency in at least one of Python, Go, Java, Ruby Working knowledge of Kubernetes Exposure to ETL systems at scale (e.g. Apache Airflow, Argo Workflows) Exposure to streaming data platforms (e.g. Apache Kafka, RabbitMQ) Working knowledge of networking fundamentals Comfort deploying software to the cloud and on-premises Record of More ❯

engineers + external partners) on complex data and cloud engineering projects Designing and delivering distributed solutions on an AWS-centric stack, with open-source flexibility Working with Databricks, Apache Iceberg, and Kubernetes in a cloud-agnostic environment Guiding architecture and implementation of large-scale data pipelines for structured and unstructured data Steering software stack decisions, best practices, and legacy … Deep experience with Software Engineering, cloud deployments (especially AWS), and orchestration technologies Proven delivery of big data solutions—managing high-volume, complex data (structured/unstructured) Experience with Databricks, Apache Iceberg, or similar modern data platforms Experience building software environments from scratch, setting standards and best practices Experience leading and mentoring teams Startup/scaleup background and adaptability Languages More ❯

and well-tested solutions to automate data ingestion, transformation, and orchestration across systems. Own data operations infrastructure: Manage and optimise key data infrastructure components within AWS, including Amazon Redshift, Apache Airflow for workflow orchestration, and other analytical tools. You will be responsible for ensuring the performance, reliability, and scalability of these systems to meet the growing demands of data … data pipelines, data warehouses, and leveraging AWS data services. Strong proficiency in DataOps methodologies and tools, including experience with CI/CD pipelines, containerized applications, and workflow orchestration using Apache Airflow. Familiar with ETL frameworks, and bonus experience with Big Data processing (Spark, Hive, Trino), and data streaming. Proven track record – You’ve made a demonstrable impact in your More ❯

end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS Where You'll Be We offer you the flexibility to work where you work best! For this role More ❯

working with various Databases: Relational and NoSQL. Hands-on coding/scripting experience: Python/Java. Experience working on/with Machine Learning/Data Science products such as Apache Spark and TensorFlow. Degree in computer science or engineering. Willing to travel. #J-18808-Ljbffr More ❯

/Masters) in computer science or a related field. Solid programming skills in both Python and SQL. Proven work experience in Google Cloud Platform or other clouds, developing batch (Apache Airflow) and streaming (Dataflow) scalable data pipelines. Experience processing large datasets at scale (BigQuery, Apache Druid, Elasticsearch) Familiarity with Terraform, DBT & Looker is a plus. Passion around performance More ❯

Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark/Python, or Spark/Scala. Preferred Education Bachelor's Degree Required More ❯

and maintain Data Pipelines using Python. Develop real-time streaming features using big data tools such as Spark. SKILLS AND EXPERIENCE Extensive experience using big data tools such as Apache Spark. Experience working in and maintaining an AWS database. Strong Python coding background. Good knowledge of working with SQL. THE BENEFITS Generous Holiday plan. Career development plan. Flexible working. More ❯

activities KEY SKILLS & EXPERIENCE: Experience of Environment and Release Management, supporting on prem and cloud-based environment strategies Strong knowledge in web application and open-source technologies, particularly, Java, Apache, Tomcat, web services, API's and service virtualization Experience of working with Linux, AIX and Windows operating systems Knowledge and experience of SQL across various database implementations, including DB2 … activities KEY SKILLS & EXPERIENCE: Experience of Environment and Release Management, supporting on prem and cloud-based environment strategies Strong knowledge in web application and open-source technologies, particularly, Java, Apache, Tomcat, web services, API's and service virtualization Experience of working with Linux, AIX and Windows operating systems Knowledge and experience of SQL across various database implementations, including DB2 More ❯

data quality improvement initiatives and proactively resolve data inconsistencies. · Participate in troubleshooting and performance tuning of ETL jobs and workflows. Required Skills & Qualifications: · Proven experience with Talend, Python, and Apache Spark. · Strong understanding of relational databases and Big Data ecosystems (Hive, Impala, HDFS). · Solid experience in data warehousing and data modelling techniques. · Familiarity with data quality management and More ❯