1 to 25 of 133 Permanent Apache Jobs in the UK

includes a firm-wide data catalogue detailing key data elements. Skills Required Java and/or Scala Backends Distributed compute concepts: Spark, Data Bricks, Apache Beam etc Full Stack experience Azure Cloud Technologies Angular/Similar front end Cloud DB/Relational DB: Snowflake/Sybase Unix experience Job More ❯

includes a firm-wide data catalogue detailing key data elements. Skills Required Java and/or Scala Backends Distributed compute concepts: Spark, Data Bricks, Apache Beam etc Full Stack experience Azure Cloud Technologies Angular/Similar front end Cloud DB/Relational DB: Snowflake/Sybase Unix experience Job More ❯

and results-oriented Additional Preferred Qualifications: Domain knowledge in Financial Industry and Capital Markets is a plus. Experience with Big Data technologies (i.e. Kafka, Apache Spark, NOSQL) Knowledge of BI tools like Power BI, Microstrategy etc Exposure to Python and Scala Exposure to Salesforce ecosytem About S&P Global More ❯

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 More ❯

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 More ❯

Agile (Scrum) methodologies Database experience with Oracle and/or MongoDB Experience using the Atlassian suite : Bitbucket, Jira, and Confluence Desirable Skills Knowledge of Apache NiFi Front-end development with React (JavaScript/TypeScript) Working knowledge of Elasticsearch and Kibana Experience developing for cloud environments, particularly AWS (EC2, EKS More ❯

communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code (IaC More ❯

communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code (IaC More ❯

communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code (IaC More ❯

in mentoring junior team members Experience in Oracle/Relational Databases and/or Mongo Experience in GitLab CI/CD Pipelines Knowledge of Apache NiFi Experience in JavaScript/TypeScript & React Experience of Elasticsearch and Kibana Knowledge of Hibernate Proficiency in the use of Atlassian Suite - Bitbucket, Jira More ❯

in mentoring junior team members Experience in Oracle/Relational Databases and/or Mongo Experience in GitLab CI/CD Pipelines Knowledge of Apache NiFi Experience in JavaScript/TypeScript & React Experience of Elasticsearch and Kibana Knowledge of Hibernate Proficiency in the use of Atlassian Suite - Bitbucket, Jira More ❯

develop proficiency in backend technologies (e.g., Python with Django) to support data pipeline integrations. Cloud Platforms: Familiarity with AWS or Azure, including services like Apache Airflow, Terraform, or SageMaker. Data Quality Management: Experience with data versioning and quality assurance practices. Automation and CI/CD: Knowledge of build and More ❯

focus on public cloud onboarding. The platform is a Greenfield build using modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premises and in AWS utilising technologies such as EKS, S3, FSX. Objectives Steering platform More ❯

focus on public cloud onboarding. The platform is a Greenfield build using modern technologies such as Java, Spring Boot, Kubernetes, Kafka, MongoDB, RabbitMQ, Solace, Apache Ignite. The platform runs in a hybrid mode both on-premises and in AWS utilising technologies such as EKS, S3, FSX. Objectives Steering platform More ❯

and familiar with setting up CI/CD workflows using platforms like Azure DevOps or similar tools. Hands-on experience with orchestration tools like Apache Airflow for managing complex data workflows. Practical familiarity with low-code or no-code platforms such as Talend and SnapLogic for streamlined pipeline development. More ❯

and familiar with setting up CI/CD workflows using platforms like Azure DevOps or similar tools. Hands-on experience with orchestration tools like Apache Airflow for managing complex data workflows. Practical familiarity with low-code or no-code platforms such as Talend and SnapLogic for streamlined pipeline development. More ❯

your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and technologies More ❯

your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and technologies More ❯

/data warehouse/data archive/dashboards Experience with databases (e.g. Oracle, MongoDB, RDBMS, SQL) Experience with BI tools (e.g. Tableau) Knowledge of Apache (Kafka) Plus, attitude is key. We’re looking for someone adaptable and resilient, who’s invested in their growth and passionate about taking their More ❯

/data warehouse/data archive/dashboards Experience with databases (e.g. Oracle, MongoDB, RDBMS, SQL) Experience with BI tools (e.g. Tableau) Knowledge of Apache (Kafka) Plus, attitude is key. We’re looking for someone adaptable and resilient, who’s invested in their growth and passionate about taking their More ❯

to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-based database services (Snowflake). Knowledge of data warehousing, orchestration and pipeline technologies (Apache Airflow/Kafka, Azure DataFactory etc.). Experience with DBT for modelling Server administration and networking fundamentals More ❯

British-born sole UK National with active SC or DV Clearance • Strong Java skills, familiarity with Python • Experience in Linux, Git, CI/CD, Apache NiFi • Knowledge of Oracle, MongoDB, React, Elasticsearch • Familiarity with AWS (EC2, EKS, Fargate, S3, Lambda) If you do not meet all requirements still feel More ❯

/CD Contribute to platform resiliency and production support Must-Have Skills 10+ years of experience in backend development Proficient in Java , Python , and Apache Spark Strong hands-on experience with AWS services (EKS, ECS, Lambda, RDS, Aurora, SQS, SNS) Deep knowledge of Spring/Spring Boot Familiarity with More ❯

in a data-focused role, with a strong passion for working with data and delivering value to stakeholders. Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment. Experience with Databricks and Microsoft Azure is highly desirable. Financial Services experience More ❯

or all of the services below would put you at the top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way More ❯