26 to 39 of 39 Data Ingestion Jobs in Slough

and IT teams to translate business requirements into functional, scalable solutions. Build components such as order placement, routing, pricing engines, exchange connectivity, and market data ingestion pipelines. Lead code reviews, promote best engineering practices, and foster a culture of technical excellence. Ensure the stability and reliability of the … team, ensuring collaboration and productivity. Technical Requirements: Expert-level C++ development experience (10+ years) with strong grasp of modern C++ standards, object-oriented design, data structures, and algorithmic performance optimisation . Proven track record building real-time , low-latency , multi-threaded trading systems . Experience with exchange connectivity protocols … e.g., ICE, CME) Experience with FIX protocol/Connections (including FIX session and application layer development). Deep understanding of market data systems - acquiring, parsing, and manipulating data in real time. Experience working on Linux-based platforms in a high-performance distributed systems environment. Familiarity with version control More ❯

London-based tech company helping clients engage in marketing strategies with audiences in virtual worlds. Your Focus: As a Senior Backend Engineer focused on Data Pipelines and API Optimisation, you’ll be central to our platform's performance and scalability. You’ll design, build, and iterate on the systems … that handle data ingestion, transformation, and delivery - ensuring they are scalable, reliable, and performant. You should have a strong background in backend engineering, particularly around distributed systems, database optimisation, and API development. You’ll work with technologies like JavaScript and TypeScript to build robust services that meet high … standards for performance and reliability. This role is ideal for someone experienced, self-driven, and excited about leading backend projects involving large-scale data handling and API improvements. Your technical leadership will help evolve our infrastructure and mentor other engineers as we scale. Skills, Knowledge, and Expertise Experience 5+ More ❯

Be Wow,” and your backend architectures will form the invisible foundation that delivers truly seamless, high-performance robot experiences. Main Responsibilities Service & API Development Data Management & Pipelines Performance Monitoring & Optimization Collaboration & Code Quality Challenges Balancing maintainable, modular code with the demands of real-time interaction needs. Designing systems that … gracefully handle intermittent connectivity and partial failures in field-deployed robots. Scaling data ingestion and processing pipelines to accommodate growing robot fleets and richer telemetry streams. Ensuring backward-compatibility of APIs while iterating rapidly on new features. Qualifications, Knowledge, Key Skills and Experience Essential Significant backend development experience More ❯

databases for high availability and performance. Oversee SAP on Azure deployments to ensure seamless integration and operation. Manage Azure Event Hub for real-time data ingestion and processing. Utilize AzureIAC-Terraform for infrastructure as code deployments. Develop and maintain PowerShell scripts for automation and management tasks. Design and … Machines for optimal performance and cost-efficiency. Provide solutions as an Azure Solution Architect to meet business requirements. Implement Azure Recovery Services Vault for data protection and disaster recovery. Lead Azure Migration Projects to ensure smooth transitions to the cloud. Manage Azure App Service for hosting web applications and More ❯

Develop and maintain core platform services using Java, interacting heavily with Databricks APIs to manage workspaces, clusters, and job execution. Design, build, and optimise data ingestion pipelines primarily using Scala and Spark on Databricks. Experience needed: Advanced proficiency in Scala with Spark: Hands-on experience writing robust and … performant Scala applications on Spark, with a strong understanding of distributed computing and data processing concepts. Advanced knowledge of Databricks: Deep understanding of Databricks workspaces, clusters (including different types and configurations), workflows, and job monitoring. Experience with Databricks administration and interacting with the Databricks APIs is essential. Intermediate proficiency More ❯

projected (high six-figure ARR this year), the company is now developing a second, more ambitious system that uses LLMs, RAG, and multi-source data ingestion to solve real problems in a complex, high-value industry. This is a rare opportunity to join early, build real AI systems … of core architecture and product direction. What You’ll Do Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval) Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.) Define infrastructure and engineering best practices from … 6+ years AI software engineering and deployment experience Strong exposure to MLops/LLMops, ideally in real-world AI product builds Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG) A “builder” mindset, fast, hands-on, pragmatic, collaborative Excited by early-stage start-up life More ❯

Engineering, or a related field. 2+ years of professional development experience as a Software Engineer in either C++, Python or Java. Strong understanding of data structures, algorithms, and software design principles. Experience with multi-threaded programming and real-time systems (C++/Java) Experience writing software for massive scale … for maximum speed and efficiency, minimising latency. Implement and enhance trading algorithms in collaboration with quantitative researchers and traders. Handle large volumes of market data in real-time, ensuring accurate and fast data ingestion, processing, and storage to feed trading algorithms. If you are a talented Software More ❯

Role: Python Developer Projects : Trade Capture, Risk & PnL, Market Data, Analytics, Integration Workflows Industry: Commodity Trading Day rate: £700-750/d (outside IR35) Location: London (hybrid) Contract: 6 months (strong extension potential) X4 Technology are partnered with a global commodity trading firm looking for a skilled Python Developer … office technology team on a contract basis. In this role, you will develop and support core systems covering trade capture, risk & PnL engines, market data ingestion, analytics tooling and integration workflows across multiple commodities Responsibilities of the Contract Python Developer (Commodities Trading) This is a fast-paced, high … Develop and maintain Python-based systems focused for trade capture, risk calculation, pricing models and analytics Manage large datasets and integrate real-time market data feeds to support trading decisions Enhance system performance, reliability, and automation within trading platforms Support and troubleshoot applications, contributing to architectural improvements Collaborate with More ❯

We're on the lookout for a talented Fullstack Engineer to join a dynamic and fast-paced engineering team working on a cutting-edge data ingestion and modeling platform. You'll play a key role in building and evolving backend tools and pipelines while collaborating across the stack More ❯

Inside IR35) - Hybrid You will be an integral part of the backend engineering team, building and developing the tooling and pipelines that form their data ingestion and modelling machine. Paying up to £600 (Inside IR35) depending on experience Essential Skills: Strong technical background with Node.js, Next.js, GraphQL, and More ❯

NodeJS Developer - NodeJS Engineer - Data - TDD - AWS - 6 Months - Paying up to £650 (Inside IR35) - Hybrid You will be an integral part of the backend engineering team, building and developing the tooling and pipelines that form their data ingestion and modelling machine. Paying up to £650 (Inside More ❯

About Nscale Nscale is taking on the hyperscalers by building a vertically integrated GenAI cloud platform. We own the data centres, software, and applications that power today's AI stack using sustainable technology solutions. We thrive on a culture of relentless innovation, ownership, and accountability, where every team member … Design and implement advanced methodologies like LoRA, prefix-tuning, and adapter-based approaches for fine-tuning AI models. Develop robust, fault-tolerant systems for data ingestion, processing, and model customisation. Optimise GPU utilisation and system performance using frameworks like DeepSpeed, Triton Inference Server, TensorRT, and custom CUDA/… and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP). Experience with GPU programming and optimisation e.g CUDA, TensorRT, or ROCm. Knowledge of fine-tuning methods, such as LoRA, prefix-tuning More ❯

processes. Configure correlation searches and alerting mechanisms, optimising rules to minimise false positives. Serve as the Subject Matter Expert (SME) for SIEM deployment, supporting data ingestion from sources such as AWS and Qualys. Assist in the integration of SIEM alerts with Jira, enabling streamlined alert tracking and incident More ❯

primary interface between the consultancy and the client’s Head of Engineering, ensuring strategic objectives are met while leading multi-disciplinary teams across Digital, Data, DevOps, and Cloud Engineering. The role requires a proven leader who can drive engineering excellence, reduce technical debt, and streamline delivery processes. You will … . Champion engineering best practices , promoting CI/CD, DevOps, and modern cloud-native architectures . Technical Excellence & Delivery Oversight Provide technical oversight across data pipelines, digital platforms, DevOps practices, and cloud migrations . Assess and mitigate technical debt , ensuring a balance between quick wins and long-term stability … and modernization of legacy applications , ensuring observability, performance, and security . Collaborate with Chief Engineers and engineering teams to define best practices for ETL, data integration, and cloud adoption . Ensure engineering maturity measurement through relevant KPIs such as code quality, deployment frequency, incident resolution time, and PR review More ❯