26 to 50 of 119 Apache Jobs in the UK excluding London

Familiarity with ETL processes, data warehousing and distributed systems. Not necessary for you apply, but would be great if you also have: •Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as More ❯

Familiarity with ETL processes, data warehousing and distributed systems. Not necessary for you apply, but would be great if you also have: •Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as More ❯

hands-on when needed. Nice to haves Experience leading technical discovery or architecture definition in a scaling SaaS or fintech environment. Familiarity with event-driven or streaming architectures (Kafka, Apache Flink, etc.). Practical exposure to AI/LLM orchestration frameworks or fine-tuning workflows. Experience designing developer tools, data platforms, or intelligent systems. Interest in or experience mentoring More ❯

data warehousing, and big data (Hadoop, Spark). Proficient in Python, Java, or Scala with solid OOP and design pattern understanding. Expertise in ETL tools and orchestration frameworks (Airflow, Apache NiFi). Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data services. 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 ❯

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 ❯

practices such as testing, version control, and CI/CD Hands-on experience building scalable data pipelines in a modern cloud environment (e.g., dbt, AWS Glue, AWS Lake Formation, Apache Spark, Amazon Redshift) Strong understanding of data modeling, ELT design patterns, data governance, and security best practices Bonus . Experience with reverse ETL tools (e.g., Census) Knowledge of data 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 ❯

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 ❯

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 these areas - Scala, Docker, Puppet, IntelliJ, IDE, Sbt Knowledge of -Java Development, Weblogic, Webmethods, Java Scripting, J2SE, J2EE, Spring, EJB, HTML, HTML5, Unix, Eclipse, SOAP, XML, REST, JBOSS, Apache, Tomact, SQL, Hibernate, JUnit, Selenium (Automation), GiT Ability to work in all areas of the project life cycle. Strong working knowledge of Agile approach & methodologies Good interpersonal and communication More ❯

pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). Understanding of data governance, security, and compliance best practices. Strong problem-solving skills and experience working in agile environments. Desirable: Experience with Docker/Kubernetes, streaming More ❯

pipelines and ETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). Understanding of data governance, security, and compliance best practices. Strong problem-solving skills and experience working in agile environments. Desirable: Experience with Docker/Kubernetes, streaming More ❯

Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a More ❯

Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a More ❯

Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a More ❯

Amazon EKS, Amazon S3, AWS Glue, Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon SageMaker, Amazon Bedrock (including LLM hosting and management). Expertise in workflow orchestration tools such as Apache Airflow Experience implementing DataOps best practices and tooling, including DataOps.Live Advanced skills in data storage and management platforms like Snowflake Ability to deliver insightful analytics via business intelligence tools More ❯

Azure/Microsoft Fabric/Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that explore, capture, transform, and utilize data More ❯

scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code More ❯

scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code More ❯

scalable pipelines, data platforms, and integrations, while ensuring solutions meet regulatory standards and align with architectural best practices. Key Responsibilities: Build and optimise scalable data pipelines using Databricks and Apache Spark (PySpark). Ensure performance, scalability, and compliance (GxP and other standards). Collaborate on requirements, design, and backlog refinement. Promote engineering best practices including CI/CD, code More ❯

across multiple sources. Integrate services via RESTful APIs and manage structured/unstructured data formats. Data Visualisation & Automation Build interactive dashboards in BI tools such as Power BI or Apache Superset. Automate KPI tracking and reporting to streamline workflows. Partner with teams to identify opportunities for process optimisation. Apply best visualisation principles for clarity and impact. Ensure dashboard performance More ❯

the wider business. Skills & Experience: Strong experience with Typescript and React, developing modern, scalable, and high-performance web applications. Proficient in PHP, with experience in a LAMP (Linux/Apache/MariaDB/PHP) environment considered advantageous. Experience in migrating legacy systems to modern architectures and frameworks. Solid understanding of RESTful API development, web application design patterns, and secure More ❯

external suppliers, with annual budgets spreading from £1M- £2M+. Essential Skills Proven experience as a Data Engineer (or similar/related role) Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling and data warehousing within platforms such More ❯

for best practice and technical excellence and be a person that actively looks for continual improvement opportunities. Knowledge and skills Experience as a Data Engineer or Analyst Databricks/Apache Spark SQL/Python BitBucket/GitHub. Advantageous dbt AWS Azure Devops Terraform Atlassian (Jira, Confluence) About Us What's in it for you... Healthcare plan, life assurance and More ❯