teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally in distributed or secure systems Solid experience with Kubernetes, orchestration tooling (e.g. Argo), and Kafka or equivalent Strong database knowledge (Postgres preferred) Ability to design and scale APIs and backend pipelines for data-rich environments Bonus: Familiarity with RAG pipelines, transcription tooling, vector DBs More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Qurated
Architect in complex enterprise environments Demonstrable thought leadership across data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability More ❯
Architect in complex enterprise environments Demonstrable thought leadership across data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability More ❯
london, south east england, united kingdom Hybrid / WFH Options
Qurated
Architect in complex enterprise environments Demonstrable thought leadership across data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Qurated
Architect in complex enterprise environments Demonstrable thought leadership across data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Qurated
Architect in complex enterprise environments Demonstrable thought leadership across data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability More ❯
delivering data architecture projects - ideally across both traditional and modern cloud-native stacks Knowledge of at least 3 mainstream data technologies (e.g. AWS data services, SQL/NoSQL, Spark, Kafka, etc.) Confident communicator - able to influence clients and internal stakeholders, and represent the company in external forums A self-starter mindset, with the ability to lead in uncertain or More ❯
Resource Management, and Quality Management; Agreement Process Area - Acquisition and Supply. Notes: Experience in production dataflow implementation, verification, and monitoring, with a deep understanding of data processing frameworks, especially Kafka and Nifi. ( Nifi limited to the point and click UI is insufficient ) Proficient in programming in Python and Java is desired. Extensive experience in Tier 2 and 3 support More ❯
Mondays, Wednesdays, and Thursdays. About the role As a Product Manager at Conduktor, you will be instrumental in solving customer problems for organisations working in the data streaming space (Kafka), driving growth in adoption of our Enterprise platform. You will partner with Product & Engineering leadership to extend our platform capabilities with a focus on data security and observability. This More ❯
Mondays, Wednesdays, and Thursdays. About the role As a Product Manager at Conduktor, you will be instrumental in solving customer problems for organisations working in the data streaming space (Kafka), driving growth in adoption of our Enterprise platform. You will partner with Product & Engineering leadership to extend our platform capabilities with a focus on data security and observability. This 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 … the API-our goal is to transition to a more scalable, cloud-native architecture while maintaining stability. As a Senior Developer, 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: Leading a team of 2-4 developers. Improving performance of API platform. Modernising and containerising existing applications for Azure deployment. Evaluating and implementing the right More ❯
data from diverse sources, transform it into usable formats, and load it into data warehouses, data lakes or lakehouses. Big Data Technologies: Utilize big data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud … for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines and version control systems like Git. Knowledge of ETL tools and technologies … and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory More ❯
Data Architecture: Build and maintain big data architectures and data pipelines to efficiently process large volumes of geospatial and sensor data. Leverage technologies such as Hadoop, Apache Spark, and Kafka to ensure scalability, fault tolerance, and speed. Geospatial Data Integration: Develop systems that integrate geospatial data from a variety of sources (e.g., satellite imagery, remote sensing, IoT sensors, and … applications. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and tools (e.g., PostGIS, GDAL, GeoServer). Technical Skills: Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. Experience with cloud services and … field. Experience with data visualization tools and libraries (e.g., Tableau, D3.js, Mapbox, Leaflet) for displaying geospatial insights and analytics. Familiarity with real-time stream processing frameworks (e.g., Apache Flink, Kafka Streams). Experience with geospatial data processing libraries (e.g., GDAL, Shapely, Fiona). Background in defense, national security, or environmental monitoring applications is a plus. Compensation and Benefits: Competitive More ❯
and client-facing engineering teams. As part of the Product Engineering team, you'll help shape the infrastructure backbone of our proprietary platform, working with technologies like Terraform, Kubernetes, Kafka, and GitHub Actions, all within a high-security, regulated context. Key Responsibilities Design, build, and operate infrastructure on Azure, leveraging Terraform and Terragrunt as part of our platform automation … internal and client-facing infrastructure documentation and support materials Cloud Platforms: Azure (primary), with some AWS, GCP exposure beneficial CI/CD: GitHub Actions, GitLab CI Messaging/Eventing: Kafka Architectures: Microservices, event-driven, distributed systems What We're Looking For Minimum 5-8yrs of proven experience in a DevOps engineering capacity, with strong exposure to Azure-native … VNet, Key Vault, AKS) Deep hands-on knowledge of Terraform and Terragrunt for cloud infrastructure automation Practical expertise in deploying, maintaining, and troubleshooting Kubernetes clusters in production Familiarity with Kafka and event-driven or streaming-based systems Experience building and managing CI/CD pipelines using GitHub Actions and/or GitLab Strong problem-solving, diagnostic, and debugging skills More ❯
annum + Pension, Health, Gym Posted: 27/08/2024 Description Senior Java Developer, Java Software Engineer, Java 17, Spring Boot, Maven, Git, GitHub Actions, SQL, Microservice architecture, Kafka Streams, Kubernetes, React, Typescript - Technical lead on project - Fully remote if needed - £70K About the Role As the Senior Java Software Engineer, you'll be a key player in … Skills and Experience A solid background in software development Experience in senior roles within teams or projects Expertise in Java, Spring Boot, Maven, Git, GitHub Actions, SQL, Microservice architecture, Kafka Streams, Kubernetes Knowledge of software design principles Primarily a backend role, but front-end experience in React and/or Typescript is a plus Experience developing robust, performant APIs More ❯
and extend the full stack of the TRSS solutions suite to deliver global data using advanced search, big data ingestion and analytical processing using tools like MongoDB, Elastic, and Kafka as well as building leading edge web applications. You will work closely with the other members of the TRSS analytical staff and development to capture customer requirements and design … government contract/agency or department of Federal Government requirements The following skills and tools are preferred, but not required: AWS experience strongly desired Neo4J or other graph technology Kafka Grails, Groovy ElasticSearch More ❯
Introduction At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you'll have the opportunity to work with visionaries across More ❯
Senior Full Stack Engineer The Role - What will you be doing? Key Responsibilities and Duties Join a rapidly growing team to help BCB build and scale our products and deliver them to clients. Use your software engineering skills to develop More ❯
Software Engineer 1 Description: This role will be on a fast-moving software engineering team supporting a microservice ecosystem with several UIs. Project management is done using feature driven development. The team is highly collaborative, and engineers are encouraged to More ❯
stack in designing and building data & AI solutions Experience with data modeling, ETL processes, and data warehousing Knowledge of big data tools and frameworks such as Spark, Hadoop, or KafkaMore ❯
