51 to 69 of 69 Elasticsearch Jobs in the UK excluding London

.NET Developer, .NET 10.0, C# 14 - Consultancy - Stevenage (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Blazor, JavaScript, React, Microservices, Azure, ASP.NET Core Web API, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect ...

.NET Developer, .NET 10.0, C# 14 - Consultancy - Bracknell (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Blazor, JavaScript, React, Microservices, Azure, ASP.NET Core Web API, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect ...

.NET Developer, .NET 10, C# 14 - Consultancy - Plymouth (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Blazor, JavaScript, React, Microservices, Azure, ASP.NET Core Web API, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect ...

stack transition or upskilling effort. Experience with AI-assisted/AI-native development workflows. Experience with Azure (or AWS) and Terraform. Experience with Elasticsearch/OpenSearch (index design, query tuning, scaling). Familiarity with Metabase or other analytics/reporting tools. Experience collaborating with distributed or outsourced teams. ...

orchestration workflows Designing and maintaining backend services and APIs (primarily Python, FastAPI/Flask) Building and scaling data pipelines and search systems using: ElasticSearch, Weaviate, Pinecone, and other vector databases Engineering secure, containerised architectures using Docker and Kubernetes Ensuring high availability, fault tolerance, and performance for mission-critical workloads ...

Leading development of a large Angular front-end used for real-time dashboards, monitoring and alerting *Designing and optimising data models across PostgreSQL, MongoDB, Elasticsearch and Redis *Owning CI/CD pipelines and infrastructure delivered across on-prem, cloud and hybrid deployments using Kubernetes, Helm, Terraform and Ansible *Leading ...

checks into pipelines. Knowledge of cloud infrastructure (AWS, Azure, or GCP) and database technologies including relational and non-relational stores such as Postgres, Hadoop, Elasticsearch, and Graph databases. Solid understanding of coding best practices, design patterns, CI/CD tooling, versioning, dependency management, error handling, monitoring, and alerting. ...

with: Relational databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

Ansible, Puppet) Familiarity with containerisation (Docker, Kubernetes) Nice to have: Experience with CI/CD pipelines (GitLab, Jenkins) Exposure to data tooling (Airflow, NiFi, Elasticsearch) Experience with Cloudera/Hadoop ecosystems (Spark, Hive, HDFS) Why join? Work on modern data platforms at scale Collaborate with data scientists and engineering ...

from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership as an early senior ...

Shopify, WooCommerce, Magento, Wix, BigCommerce, Linnworks, ERP systems, inventory management systems, or custom software. Experience building inventory synchronisation systems. Sidekiq and Redis experience. Elasticsearch experience. Terraform experience. Automotive Industry Experience Automotive industry knowledge is highly desirable. The successful candidate will regularly work with vehicle and parts data, including: Automotive ...

following: ** Python ** Experience in AI Solution Integration, Data Science or Data Engineering ** Open AI or Gen AI ** Proficiency in TensorFlow or PyTorch ** Knowledge of Elasticsearch or Graph databases like Neo4J ** CI/CD pipelines, Terraform The Company & Culture: Having met most of the team, I know they ...

diverse datasets, ensuring data quality, lineage, and governance. * Collaborate with technical and business teams to translate complex requirements into effective data solutions. * Maintain Elasticsearch solutions for indexing, search, and real-time data discovery. * Ensure data platforms meet security, accreditation, and information assurance standards. * Contribute to modern data architecture design … Strong Python and SQL development skills. * Hands-on experience with data integration tools like Airflow, NiFi, Azure Data Factory, or AWS Glue. * Expertise in Elasticsearch management, indexing, and query optimisation. * Knowledge of data modelling, warehousing, and modern data platform architectures. * Familiarity with cloud platforms (AWS, Azure, GCP) in secure ...

functional teams to design, develop, and deliver high-quality applications and products. You'll play a key role in modernisation initiatives, including: Migrating from Elasticsearch to OpenSearch. Transitioning capabilities to the cloud. Leveraging AI and machine learning to enhance search functionality. Key Responsibilities Develop new features and resolve defects … best practices in software engineering and contribute to continuous improvement. What We're Looking For Cloud Skills: AWS Solutions Architect Certification. Experience: Linux, AWS, ElasticSearch, OpenSearch, Terraform, DevOps, Software Engineering. Programming Languages (Must): Java, TypeScript/JavaScript. Programming Languages (Should/Could): Go, Rust, Python. Skills & Attributes: Strong commitment ...

semi-structured and unstructured data Implement and manage hybrid data solutions across on-premises and Azure environments Build and maintain PostgreSQL database solutions Manage Elasticsearch deployments and optimisation Implement workflow automation using Azure Data Factory Develop and support Real Time event streaming solutions using Kafka and NATS Support security … solutions within enterprise environments Azure Data Factory expertise Experience with Kafka and/or NATS event streaming technologies PostgreSQL administration and development experience Elasticsearch experience Strong understanding of data security, access controls and platform governance Experience operating within hybrid cloud and on-premises environments Active SC Clearance Desirable: Azure ...

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. ...

This job is with VodafoneThree, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Location: Farnborough or Newbury (onsite) Salary ...

Contract Role – Elasticsearch Data Architect – Remote – 06 months initial – Inside IR35 Role Overview: Job Title: Elasticsearch Data Architect Location: England/Remote Contract Type: Contract Duration: 06 months initial Vetting Level : SC and NPPV3 You will be working as the Data Architect for a high profile bespoke software … standards and principles, setting the vision for the use of data. It is critical that the Data Architect has hands-on experience in designing Elasticsearch document data models (e.g. indices, documents and fields) and worked with large datasets in the realms of terabytes (including extract, ingest, map, transform data ...

Review and enhance the existing data model, identifying gaps against new requirements. Design and produce target ('to-be') logical data models. Define and implement Elasticsearch data structures (indices, documents, fields). Lead data mapping, transformation, and integration activities. Develop artefacts including data mapping documents, data dictionaries, and data architecture … data queries. Contribute to solution design decisions, including integration with IES and POLE. Required Skills & Qualifications: Proven experience designing document-based data models in Elasticsearch (indices, documents, and fields). Strong expertise working with large-scale datasets (terabytes); data extraction, ingestion, mapping, and transformation. Experience working with data lake ...