1 to 25 of 86 Apache Jobs in the UK excluding London

native solutions that support analytics, automation, and digital transformation. Data Engineering, Full Stack & Platform Development Design and implement scalable data pipelines using tools like Apache Spark, Airflow, or dbt.Build and maintain data lakes, warehouses, and real-time streaming solutions. Develop APIs and microservices to expose data securely and efficiently. ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data ...

understanding of Quantexa components such as: Entity Resolution (ER), Scoring Framework, Contextual Network Generation, UI Configuration. Strong background in Big Data technologies, including: Scala, Apache Spark, Hadoop, ElasticSearch. Experience with data modelling and design in the context of large-scale analytics platforms. Strong stakeholder management and communication skills – capable ...

Pipeline Development Data Integration Data Modelling Data Warehousing Cloud Data Pipelines Data Cleansing & Transformation Real Time Data Processing Infrastructure & Platforms Linux (Red Hat preferred) Apache/Nginx Elasticsearch Grafana Prometheus Cosmos DB Kafka or Azure Event Hubs Desirable Experience SIEM or SOAR platforms Cybersecurity Analytics Azure Security Financial Services ...

strong Python/PySpark engineers who can learn Foundry quickly are encouraged to apply. Essential qualifications • Extensive experience with Python and PySpark/Apache Spark. • Proven track record designing and delivering scalable data pipelines and data products. • Strong SQL and data modelling skills. • Experience with modern data architectures ...

range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Microsoft Fabric Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge ...

/CD pipelines and deployment automation. • Familiarity with monitoring, logging, and observability tools. • Awareness of application platforms and middleware such as Java, Tomcat, Apache, and NodeJS. • Experience using Git and collaborative development workflows. • Basic scripting skills using Shell or Python. • Understanding of containerisation concepts using Docker. • Strong problem-solving ...

Python skills * Hands-on experience designing and developing ETL pipelines and data workflows * Experience designing and maintaining data pipelines using technologies such as Apache Airflow or Spark * Experience working with cloud platforms including AWS, Azure or GCP * Strong understanding of data modelling, integration and governance principles * Experience working with ...

ownership Technical Application ownership Qualifications Strong experience with DevOps & IaC tooling - Terraform, CI/CD pipelines, Git, Jenkins , Harness Strong experience of developing on Apache Spark/Hadoop Strong experience with AWS cloud services including AWS Glue, S3, Step Strong experience building data pipelines and data lake Experience ...

ecosystem •Infrastructure as Code using Terraform, Ansible, or CloudFormation •GitOps tooling such as Argo CD •Scripting (Python, Shell) •Container orchestration tools (e.g., Docker Swarm, Apache Mesos) •Service Mesh technologies (e.g., Istio, Linkerd) •Monitoring and observability tools (Prometheus, Grafana, ELK) •Applying infrastructure security, compliance, and governance practices •Working within agile ...

media metadata platform - Media Content Catalogue. You will be involved with the design, scaling, and optimisation of this modern, cloud-scale lakehouse built on Apache Spark, AWS Glue, and Apache Iceberg/Parquet, transforming complex broadcast & archival media metadata into structured, aggregated, unified, high-performance data assets. … Demonstrable experience of delivering data-powered applications in production - Hands-on experience with modern cloud data analysis & engineering (we use SQL, Python, AWS Glue, Apache Iceberg, Apache Parquet, Apache Spark) - Experience of modern data transformation pipeline tools such as dbt or SQLMesh - Working experience of data modelling ...

TypeScript), Bash Frontend: Vue CI/CD & Automation: Jenkins, GitLab CI, Ansible, Cucumber Cloud & Platforms: AWS, OpenShift, Linux Infrastructure as Code: Terraform Data & Streaming: Apache NiFi Monitoring & Logging: Grafana, ELK Stack, SonarQube Version Control: GitLab Automation & Infrastructure as Code (IaC) Automate infrastructure provisioning, configuration, and CI/CD pipelines ...

reviews and continuous improvement Skills & Experience * Commercial experience in Data Engineering * Strong Python or Java development skills * Experience with AWS cloud services * Knowledge of Apache Spark, Hadoop, NiFi or similar big data technologies * Experience building ETL/ELT pipelines and processing large datasets * Understanding of software engineering best practices ...

innovation-led working environment Key Experience Proven experience as a Data Architect, Databricks Architect, Lead Data Engineer or Solutions Architect Strong expertise in Databricks, Apache Spark, PySpark and SQL Experience designing and implementing modern data lake or lakehouse architectures Hands-on experience with Kafka Strong understanding of AWS data ...

Proven track record with data governance, quality, lineage, and security practices. Experience with real-time/streaming data technologies, data Ingestion/ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). Experience in, or knowledge of, DevSecOps Tooling and Processes. Self-starter with the ability ...

Understanding of Azure data services and API-based integration. Next.js 14, FastAPI Python, Pipeline orchestration, Data transformation, Data quality, Casbin RBAC, Kuzu knowledge graph, Apache Iceberg, MCP AI server integration and ODCS v2 data contracts layer. Experience in establishing the infrastructure, pipelines, processes, and governance required for production environment ...

have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative ...

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 ...

software and site reliability engineering. Preferred experience with distributed ML frameworks such as Horovod or TensorFlow Distributed, familiarity with data engineering pipelines such as Apache Airflow or Spark, and knowledge of chaos engineering tools and compliance frameworks such as GDPR, SOC 2, or ISO 27001. Benefits Relocation benefits available ...

with data scientists, analysts, and business stakeholders. Strong understanding of data platform reliability, performance, scalability, and cost optimisation. Experience with technologies such as ClickHouse, Apache Iceberg, BigQuery, dbt, Elasticsearch, Druid, GCP, or AWS is highly desirable. If you're an experienced Senior Data Engineer looking to lead complex data ...

concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow for workflow management, or Streamlit for building interactive data applications • Advanced Data Management – Strong SQL design, query optimization, and database architecture expertise • Observability – Experience ...

large-scale lift-and-shift data migrations from legacy platforms to Databricks, ensuring minimal disruption and high data fidelity. Drive adoption of Delta Lake, Apache Spark, and MLflow for advanced analytics and machine learning use cases. Lead performance tuning, cost optimization, and security hardening of Databricks on Azure. Establish ...

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. What … which Azure data focused components to use for which purpose. Microsoft certified architect Databricks 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. Ability to Design, Build and deploy AI/ ...

Databases: PostgreSQL, Graph Databases ( Neo4j , Kuzu ), and data mesh/metadata management platforms. Modern Tech Stack: Next.js 14, FastAPI (Python), Casbin RBAC, Pipeline Orchestration, Apache Iceberg, MCP AI Server Integration, and ODCS v2 Data Contracts layer. DevOps & Integration: Azure DevOps, CI/CD, Data Transformation/Quality frameworks, ITSM ...

modern data engineering best practices You have experience with Databricks, ideally also Azure You have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You're excited to join a start-up in a role that you can shape and influence ...