25 of 25 Remote Apache Jobs in the UK

. AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). More ❯

. AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). More ❯

Development Opportunities Enhanced Maternity & Paternity Charity Volunteer Days Cycle to work scheme And More.. DATA ENGINEER - ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake/Delta Live Tables and More ❯

Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with More ❯

best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and ETL/ELT development in AWS More ❯

of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience More ❯

of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience More ❯

of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience More ❯

data storytelling and operational insights. Optimise data workflows across cloud and on-prem environments, ensuring performance and reliability. Skills & Experience: Strong experience in ETL pipeline development using tools like Apache Airflow, Informatica, or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data visualisation and dashboarding. Exposure to More ❯

GitLab) Contributing across the software development lifecycle from requirements to deployment Tech Stack Includes: Java, Python, Linux, Git, JUnit, GitLab CI/CD, Oracle, MongoDB, JavaScript/TypeScript, React, Apache NiFi, Elasticsearch, Kibana, AWS, Hibernate, Atlassian Suite What's on Offer: Hybrid working and flexible schedules (4xFlex) Ongoing training and career development Exciting projects within the UK's secure More ❯

GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines, ideally using GitLab CI. Background working with media, marketing, or advertising data. The Opportunity: Work alongside smart, supportive teammates More ❯

GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines, ideally using GitLab CI. ·Background working with media, marketing, or advertising data. The Opportunity: ·Work alongside smart, supportive teammates More ❯

Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version control and building CI/CD/release pipelines. Data Fundamentals: Excellent SQL More ❯

experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real purpose More ❯

change management processes. * Ensure all systems and environments comply with internal policies, controls, and security standards. Key Skills & Experience: Essential: * Strong hands-on experience with Linux technologies including Ubuntu, Apache, PHP, MySQL, PostgreSQL, Nginx, Postfix, and Git * Experience with configuration and automation tools such as Puppet, Ansible, Terraform, and Ninja * Solid understanding of AWS services, ideally including EC2, ECS More ❯

levels and efficiency. Documenting systems and following change management protocols. Ensuring compliance with internal controls and security standards. What we’re looking for Proven experience with Linux technologies (Ubuntu, Apache, PHP, MySQL, PostgreSQL, Nginx, Postfix, Git) Familiarity with configuration tools (Puppet, Ansible, Terraform, Ninja) Experience with AWS services (EC2, ECS, Lambda, VPC, Route53, S3, RDS, CloudWatch, CloudFormation) Knowledge of 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 More ❯

Kubernetes, Docker) Strong knowledge of AWS services (EC2, ECS, EKS, Lambda, VPC, Route53, S3, RDS, CloudWatch) Scripting skills in Python and Bash Familiarity with Linux and database technologies (Ubuntu, Apache, PHP, MySQL, PostgreSQL, Nginx) Experience with Git/Mercurial and system integrations/migrations Understanding of IT security fundamentals and ITIL service management A collaborative mindset and enthusiasm for More ❯

security * Experience with application, cloud (AWS) , and infrastructure security * Proven hands-on experience with EDR/NDR tools , particularly CrowdStrike * Proficient with Linux and databases such as MySQL , PostgreSQL , Apache , and PHP * Knowledge of ISO 27001 , Cyber Essentials , and general security frameworks What you get in return: * Up to £60,000 per annum + bonus + benefits * Hybrid working 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 … maintain optimal operation. The Data Engineer Should Have: Active eDV clearance (West) Willingness to work full time on site in Gloucester when required. Required technical experience in the following: Apache Kafka Apache NiFI SQL and noSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java To be Considered: Please either apply by clicking online or … 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 More ❯

expertise in data processing and reporting. In this role, you will own the reliability, performance, and operational excellence of our real-time and batch data pipelines built on AWS, Apache Flink, Kafka, and Python. You'll act as the first line of defense for data-related incidents, rapidly diagnose root causes, and implement resilient solutions that keep critical reporting … and batch environments. Architecture & Automation Collaborate with data engineering and product teams to architect scalable, fault-tolerant pipelines using AWS services (e.g., Step Functions, EMR, Lambda, Redshift) integrated with Apache Flink and Kafka. Troubleshoot & Maintain Python-based applications. Harden CI/CD for data jobs: implement automated testing of data schemas, versioned Flink jobs, and migration scripts. Performance Optimization More ❯

Kubernetes (with Helm and Flux) for managing services GitLab for CI/CD and version control AWS as our infrastructure platform PostgreSQL for application data and event sourcing architecture Apache Flink for real-time service interactions and state management Responsibilities Collaborate with Engineers, Product Managers, and the Engagement team to understand problem spaces, contribute to solution design, and support … hosted environments (e.g. AWS). Solid RDBMS experience, preferably with PostgreSQL Experience building RESTful APIs (e.g. FastAPI) and real-time data processing pipelines Bonus points for experience with Kubernetes, Apache Flink, Flux or Infrastructure-as-Code frameworks (e.g. Terraform). Experience of maintaining your own code in a production environment. A good foundational understanding of modern software development lifecycles More ❯

to incrementally deliver working software. You will work well within small teams, taking ownership of and delivering high quality software – you should take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would be beneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of … both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people More ❯

Engineer with an Azure focus, you 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. Skills/Experience Design and build … high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Build and deploy AI/ML models: Integrate Machine Learning into … and best practices with a focus on how AI can support you in your delivery work Solid experience as a Data Engineer or similar role. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data More ❯

an Azure and Databrick focus, you 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. Duties Design and build high-performance … data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Abilty to Design, Build and deploy AI/ML models … to ensure successful data platform implementations. Your Skills and Experience Solid experience as a Data Architect with experience in designing, developing and implementing Databricks solutions Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data More ❯