526 to 550 of 939 Apache Jobs in the UK

Proven experience of MySQL/MariaDB database configuration, management, maintenance and fault diagnosis. Experience with Linux server security hardening using industry best practices. Configuration, administration and fault diagnosis of Apache web servers. Experience working with cloud environments (Rackspace, AWS). Experience with monitoring and reporting tools (Nagios, Icinga, NewRelic). Experience with at least one scripting language (Bash, Python More ❯

Python (advanced, Pydantic experience a bonus) SQL PySpark Delta Lake Bash (CLI usage and scripting) Git Markdown Scala (bonus) Azure SQL Server as HIVE Metastore (bonus) Technologies Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Data Ingestion/Integration) JIRA If this role suits you, please submit your CV at your earliest convenience. If you do More ❯

SAFE, Scrum, JIRA) Languages and Frameworks: JSON YAML Python (advanced proficiency, Pydantic bonus) SQL PySpark Delta Lake Bash Git Markdown Scala (bonus) Azure SQL Server (bonus) Technologies: Azure Databricks Apache Spark Delta Tables Data processing with Python PowerBI (Data ingestion and integration) JIRA Additional Notes: Candidates with current or past high-level security clearance are encouraged to apply. Successful More ❯

JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Great attention to detail Organisational skills An analytical mind Degree in Computer Science, Statistics or relevant field #J More ❯

to have Over 4 years in the XDR/SIEM security domain Knowledge of big data platforms (Google Chronicle, Elasticsearch, Splunk) Proficiency with Bash and Python Experience with databases, Apache, Tomcat, Java, AWS/GCP, Jenkins, Ansible, Puppet Practical knowledge in Offensive Security #LI-REMOTE More About Cybereason: Our culture reflects our shared values. Our #Defenders are diverse, innovative More ❯

suck as Splunk/ELK stack Ability to pro-actively manage own tasking and react to higher priority tasks Experience of Linux server administration Experience in technologies such as Apache NiFi, MinIO/AWS S3 Experience managing and patching Java and Python applications Experience with containerisation technologies such as Docker/Podman and deployment technologies such Kubernetes/OpenShift More ❯

tools, particularly Terraform. Experience with network design, administration, and troubleshooting. Knowledge of programming languages (e.g., JavaScript, Node.js, PHP). Experience with version control systems, ideally Git. Web server configuration (Apache, Nginx). Database management (MySQL, MongoDB), including high availability and backup solutions. Hands-on experience managing cloud providers, with significant experience in AWS and Google Cloud Platform (GCP). More ❯

We are seeking 3 Data Engineers to join our defence & security client on a contract basis. Key skills required for this role DV cleared, Data Engineer, ETL, Elastic Stack, Apache NiFi Important DV Cleared - Data Engineer - ELK & NiFi - Outside IR35 Location: Worcester Duration: 6 months initial contract Security: Active DV clearance required In this role, you will help design … develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. These positions are onsite in Worcester and require active UK DV clearance. Key Responsibilities: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality … the ability to obtain it. Experience as a Data Engineer in secure or regulated environments. Expertise in the Elastic Stack for data ingestion, transformation, and visualization. Strong experience with Apache NiFi for managing complex data flows. Knowledge of security practices for handling sensitive data. Understanding of data governance, quality, and compliance standards in secure settings. Experience managing large-scale More ❯

large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and troubleshoot real-time data pipelines to ensure high performance and reliability Write efficient … Skills and Experience: 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Experience building real-time, large-scale data pipelines Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in … stakeholder management skills Detail-oriented with a strong focus on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data science More ❯

large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and troubleshoot real-time data pipelines to ensure high performance and reliability Write efficient … Skills and Experience: 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in secure deployments Experience using Infrastructure as Code tools … stakeholder management skills Detail-oriented with a strong focus on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data science More ❯

with the following background: Software development experience, with extensive expertise in: Back-end data processing Data lakehouse architecture Hands-on experience with Big Data open-source technologies such as: Apache Airflow Apache Kafka Apache Pekko Apache Spark & Spark Structured Streaming Delta Lake AWS Athena Trino MongoDB AWS S3, MinIO S3 Proven successful hands-on experience in More ❯

large-scale data pipelines in secure or regulated environments Ingest, process, index, and visualise data using the Elastic Stack (Elasticsearch, Logstash, Kibana) Build and maintain robust data flows with Apache NiFi Implement best practices for handling sensitive data, including encryption, anonymisation, and access control Monitor and troubleshoot real-time data pipelines to ensure high performance and reliability Write efficient … Skills and Experience: 3+ years’ experience as a Data Engineer in secure, regulated, or mission-critical environments Proven expertise with the Elastic Stack (Elasticsearch, Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in secure deployments Experience using Infrastructure as Code tools … stakeholder management skills Detail-oriented with a strong focus on data accuracy, quality, and reliability Desirable (Nice to Have): Background in defence, government, or highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data science More ❯

and RHEL, developing scalable applications, and implementing CI/CD pipelines. Required Technical Skills Proficiency with AWS, RHEL, Terraform, and Ansible Experience with NodeJS, ReactJS, RESTful APIs, Elasticsearch, and Apache NiFi Design and implementation of CI/CD pipelines with Jenkins, Kubernetes, and OpenShift Containerization skills using Docker, Podman, and Buildah Additional Requirements Eligibility to work in the UK … work and security clearance Bachelor's degree or equivalent experience Experience as a DevOps Engineer focused on AWS Strong scripting skills (Bash, Python, Ruby) Desirable: AWS Certifications, RHCE, Elasticsearch, Apache NiFi familiarity Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and IT Industries: IT Services and Consulting #J-18808-Ljbffr More ❯

skills: Strong knowledge of Scala. Familiarity with distributed computing frameworks such as Spark, KStreams, Kafka. Experience with Kafka and streaming frameworks. Understanding of monolithic vs. microservice architectures. Familiarity with Apache ecosystem including Hadoop modules (HDFS, YARN, HBase, Hive, Spark) and Apache NiFi. Experience with containerization and orchestration tools like Docker and Kubernetes. Knowledge of time-series or analytics More ❯

optimized processing. - Design and manage dynamic data models, ensuring adaptability based on evolving datasets. - Implement caching and filtering techniques to improve query performance. - Utilize big data technologies such as Apache Spark for large-scale data processing. - Apply AWS expertise, including Infrastructure-as-Code (IaC) for scalable deployment. - Work with SQL transpilers and predicate pushing to optimize query execution. - GraphQL More ❯

You're really awesome at: Object-oriented programming (Java) Data modeling using various database technologies ETL processes (transferring data in-memory, moving away from traditional ETLs) and experience with Apache Spark or Apache NiFi Applied understanding of CI/CD in change management Dockerized applications Using distributed version control systems Being an excellent team player Meticulous and passionate More ❯

scalable machine learning systems in production. Strong programming skills in Python and experience with ML frameworks and tools (e.g., TensorFlow, PyTorch, MLFlow, Kubeflow, Jupyter, Azure ML Studio, Amazon Sagemaker, Apache Spark, Apache Flink). Expertise in containerization (e.g., Docker, Kubernetes) and automation (e.g., Jenkins, GitLab CI). Excellent problem-solving skills and the ability to work independently or More ❯

in either Python or Scala. Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals. Familiarity with CI/CD for production deployments. Working knowledge of MLOps. Design and deployment of performant end-to-end data architectures. … Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on More ❯

collaboration, life-long learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together. Preferred Experience working with Databricks and Apache Spark Preferred Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly … Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on More ❯

/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML Preferred Experience working with Databricks & Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over … Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯

in either Python or Scala. Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals. Familiarity with CI/CD for production deployments. Working knowledge of MLOps. Design and deployment of performant end-to-end data architectures. … Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the More ❯

collaboration, life-long learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together. [Preferred] Experience working with Databricks and Apache Spark [Preferred] Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly … Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯

hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe … hearing from you. KEY SKILLS: DATA ENGINEER/DATA ENGINEERING/DEFENCE/NATIONAL SECURITY/DATA STRATEGY/DATA PIPELINES/DATA GOVERNANCE/SQL/NOSQL/APACHE/NIFI/KAFKA/ETL/GLOUCESTER/DV/SECURITY CLEARED/DV CLEARANCE Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job More ❯

stack (Lambda/ECS) Experience with NoSQL data persistence - DynamoDB, MongoDB, etc. DevOps mindset - knowing how to automate development and operational tasks Big data or data science background: ML, Apache Spark, Apache Hive, machine learning #J-18808-Ljbffr More ❯

in either Python or Scala Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps Design and deployment of performant end-to-end data architectures … Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯