to £70k base + bonus Location: London Working Arrangements: 1-3 days a week in the London office Salary: up to £70,000 base Industry: Energy Tech Stack: Go, Kafka, React, AWS Sponsorship: Not offered Fantastic opportunity for a highly skilled mid-senior level Software Engineer to join a energy software company working with cutting-edge technologies. This role More ❯
You have: · Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD) · At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/ More ❯
You have: · Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio) · Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka) · Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD) · At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/ More ❯
Newcastle Upon Tyne, Tyne and Wear, England, United Kingdom
Understanding Recruitment
and with excellence. Key Skills for the Software Development Team Lead: Proven experience as a Team Lead or Senior Developer Strong technical expertise in; C#.NET, Oracle, SQL, RabbitMQ or Kafka Experience managing small, agile teams in a fast-paced environment. Ability to bridge the gap between technical and non-technical stakeholders. Strong decision-making and problem-solving capabilities under More ❯
Cambridge, Cambridgeshire, England, United Kingdom
James Chase
of enterprise architecture frameworks (TOGAF, Zachman). Expertise in cloud-native data platforms (Azure, AWS, GCP) and data modelling. Experience with data mesh, governance, and integration/orchestration tools (Kafka, Airflow, dbt). Knowledge of lakehouse and virtualization concepts. Exposure to AI/GenAI initiatives and ethical data practices. Skilled communicator with experience mentoring others in matrix environments. Awareness More ❯
and database monitoring alerts. Required Skills & Experience Strong hands-on knowledge of Snowflake and SQL Server (including SSIS).Experience in ETL, data migration, and performance optimization .Familiarity with Oracle, Kafka, ODI, and Azure SQL DB .Proven ability in incident, problem, and change management .Good understanding of data governance, security, and auditing frameworks .Exposure to monitoring and observability tools (e.g. More ❯
blue-chip corporate. Demonstrable experience leading AI value delivery, CoE mobilisation, or multi-disciplinary product teams. Technical literacy across data and AI ecosystems (Azure, GCP, Databricks, Snowflake, Power BI, Kafka, LLMs). Exceptional stakeholder management up to CIO/CDO level with a track record of influence and measurable delivery. Strong grasp of responsible-AI, governance frameworks, and value More ❯
of data modelling approaches (e.g., Kimball, Star Schema, Data Vault). Proficiency in cloud and DataOps solutions, particularly within Azure or AWS ecosystems, including event streaming (Azure Event Hubs, Kafka). Experience with Big Data solutions (Hadoop, Cassandra). Knowledge of compliance standards (GDPR, ISO 22701) and architecture frameworks (TOGAF, DAMA). Skilled in using architecture tools (Visio, Draw.io More ❯
/architecture Proven track record leading multi-geography, multi-vendor technical collaborations Deep understanding of cloud SaaS architectures and insurance/health-tech domains Hands-on technical credibility (Java, Kafka, AWS) combined with executive presence and negotiation skills Demonstrable expertise in the use of appropriate tools/technologies for the design, development, build, testing & deployment of a wide range More ❯
to create and optimize data models, indexes, stored procedures, access, and scalability. Non-Relational Data Systems: Experience of working with NoSQL, streaming, graph, timeseries, or edge databases including MongoDB, Kafka, JanusGraph, and InfluxDB. Understanding of binary encoding and compression approaches for complex data structure storage and retrieval. Data Strategy: Production experience delivering aligned data models that enable resource isolation More ❯
migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and More ❯
for high-throughput application Integrate and optimize Apache Ignite based solution: in memory data grid for FX trades processing Implement real time data ingestion and processing pipelines using ApacheKafka/Solace messaging Design and maintain robust Mongo DB/Oracle data models and queries for data persistence Ensure application scalability and reliability in cloud-hosted Linux based environment … solution Apache Ignite in production environment Solid experience with MongoDB (CRUD, indexing, performance tuning) Deep SQL knowledge and query optimization in Oracle database Solid understanding of messaging technologies ApacheKafka/Solace Proficiency in working with Linux environment and scripting Experience deploying and maintaining applications in cloud platforms (AWS, Azure, etc.) Passion to write code using TDD and be More ❯
to build the financial ecosystem of the future. We're evolving towards: A Cloud-Native, DevOps-First Culture - Moving towards a fully cloud-hosted, automated platform built with Kubernetes, Kafka, and Infrastructure as Code (IaC). A Real-Time Financial Ecosystem - Shifting from data at rest to data in motion, embracing event-driven architecture to power the real-time … rewrite-our goal is to transition to a more scalable, cloud-native architecture while maintaining stability. As a Senior Software Engineer, you'll be working with .NET, Azure, and Kafka, ensuring that applications are optimised for cloud deployment and aligned with modern development practices. You'll assess the right .NET versioning strategy, manage dependency transitions (e.g., moving from MSMQ … to Kafka), and ensure smooth migration of libraries and frameworks. Along with modernisation, you'll also be working on new features rollout in the existing system or new projects. What You'll Be Doing: Coaching and mentoring a team of 2-4 engineers. Modernising and containerising existing applications for Azure deployment. Build new cloud native event driven applications. Ensuring More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Talent
based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯
based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯
london, south east england, united kingdom Hybrid / WFH Options
Talent
based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Talent
based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Talent
based services using Java and Node.js. Build and maintain microservices and UI components, ensuring seamless integration between front-end interfaces and back-end APIs. Implement event-driven solutions using Kafka and other messaging technologies. Develop, deploy, and manage scalable applications on AWS cloud infrastructure. Work with both NoSQL (MongoDB) and SQL databases to optimize data management. Utilize Docker and … teams. Extensive hands-on experience developing modern cloud-native applications using Java and Node.js. Strong background in microservices architecture, including both front-end (UI) and API components. Proficiency in Kafka and event-driven design patterns. Deep understanding of AWS cloud services and architecture best practices. Strong experience with NoSQL (MongoDB) and SQL databases. Expertise in containerization with Docker and More ❯
in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in More ❯
in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in More ❯
in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in More ❯
in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in More ❯
london (city of london), south east england, united kingdom
algo1
in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in More ❯
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Computer Futures
and/or Java development. This is a remote position, UK. Skills needed: Previous working experience as a Technical Architect Experience producing LLDs Java and/or .net background Kafka/AWS Kinesis AWS, s3, Lambda Contract Details: Length: 4 Months initially Day Rate: £500 IR35: Outside Start Date: ASAP Please click here to find out more about our More ❯
