10 of 10 Permanent Data Ingestion Jobs in Bolton

Senior Data Engineer Bristol 6-month contract Paying up to £80p/h (Outside IR35) *** Please note that due to the nature of the work you must hold or be eligible to obtain DV level security clearance *** Responsibilities : Design, develop, and maintain secure and scalable data pipelines using … the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi. Implement data ingestion, transformation, and integration processes, ensuring data quality and security. Collaborate with data architects and security teams to ensure compliance with security policies and data governance standards. Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity. Develop robust data models to support analytics and reporting within secure environments. Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack. Build dashboards and visualizations in Kibana to enable data More ❯

Kingdom (Hybrid) Day Rate: 600 p/d (Outside IR35) About the company: I'm working with a digital consultancy at the forefront of data-driven transformation within the sports industry. They partner with some of the world's most recognised football organisations to deliver strategic, technology-enabled solutions … My client is seeking an experienced and dynamic Analytics Consultant to join a growing team. In this high-impact role, you will lead complex data science initiatives and guide strategic decision-making across a portfolio of client projects. You will play a key part in developing advanced recommendation systems … improving CRM workflows, and enabling actionable insights through data visualisation and analytics. You will work closely with cross-functional teams and clients, manage a small team of analysts and data scientists, and oversee the delivery of analytics projects from inception through to execution. This is a hands-on More ❯

Senior Data Platform Engineer Location: Primarily Remote (1 day/month in-office) Salary: £70,000 – 85,000 Join a cutting-edge Data Platform Engineering team working on real-time analytics and microservices architecture to power one of the most sophisticated martech solutions in the industry. About the … Role: Reporting directly to the Platform Engineering Manager , you'll be a vital part of a team that enables real-time data processing and analytics. This role involves developing and maintaining microservices, capturing user events and feeding them into a Snowflake-powered analytics platform. What You’ll Be Doing … Developing microservices that handle real-time data ingestion from APIs into the data warehouse Working with live-streaming data Writing clean, efficient Java code (Python is a bonus!) Enhancing and scaling the experimentation framework to support data science and ML operations Ensuring high-quality, accurate More ❯

passionate about sustainability and eager to make a tangible impact, we'd love to hear from you. We spend our days dealing with energy data for some of the most interesting commercial building operators. You will be part of the team responsible for gathering, organising and communicating information about … our customer sites both internally to the software and data science teams and back to the customer. In this role, you’ll support the team extracting and managing data to help build energy management products for our customers. Your role will be a conduit between Grid Edge and … and enabling Grid Edge on those buildings. You will be responsible for all technical aspects of the onboard across your assigned projects, focusing on data egress and hardware and comms enablement of buildings where required. This is a high-paced, reactive role where you will be exposed to a More ❯

Python, and any of Perl, C, C++, Java, JavaScript or Scala for programming. Work with cloud platforms (predominantly GCP and AWS) Implement and manage data ingestion modules to download and manage publicly available genomic and molecular data sources. Ensure robust data processing pipelines and workflows for … and manage databases and/or warehouses used for access to and storage of biological data. Providing efficient I/O capabilities to connect data and use efficiently in data science workflows and products. Utilise orchestration (e.g. Nextflow, Snakemake) and high-performance computing (e.g., SLURM, AWS Batch) frameworks. … Write efficient and optimised SQL queries for data manipulation and analysis Build and maintain GUI, dashboards and website front-ends to enable user-friendly exploration of data or execution of data science workflows. Build Microservices and APIs. Oversee the existing pipelines and lead/support the design More ❯

role will report into Operations Lead UK and Europe. You will work alongside the Sales & Distribution, Technology, Finance and Outsourced Operations teams to manage data onboarding, premium and cash management of speciality underwriters within Europe and UK, at Accelerant we call them members. In this role you will build … relationships and intimate knowledge of our Members data, technology and processes and will be the point contact on all data queries, problems and solutions. You will work alongside our members to assist them in the analysis and resolution of data quality issues that impact data ingestion, regulatory compliance, and reporting, utilising your knowledge and experience of the applicable data standards. Your role will contribute to the overall success of the Operations function who are charged with transforming our data processes to deliver governed, timely and high-fidelity data sources. Key Responsibilities Member More ❯

TalentCo are thrilled to be working with a VC-backed AI infrastructure startup building the future of multimodal data systems. Having recently raised a substantial Seed round, they are now looking to hire an exceptional backend focused Senior Rust Engineer to join their high-calibre, distributed team in Europe. … analytical databases purpose-built for high-throughput, multimodal time-series data. Working in Rust, you’ll architect performant, scalable systems that handle everything from ingestion and indexing to complex query execution. If you're keen to be at the sharp-end of the AI boom, love building technical infrastructure … logs. Work with technologies like Rust, Apache Arrow, and Datafusion to build scalable, low-latency systems. Collaborate on every part of the stack—from data ingestion and indexing to query planning and optimisation. Build observability, reliability, and scalability into a product being designed for some of the most More ❯

is a high-impact role supporting a flagship payroll platform used by thousands of businesses. 🎯 Key Objectives Platform Uplift – Enhance the Payroll Reporting API, data ingestion layer, and ETL pipeline to meet top-tier engineering and reliability standards. UK Delivery – Launch features specifically tailored for UK payroll compliance … and user experience. Strategic Vision – Help define the long-term architecture of payroll reporting, aligning with broader global data and AI goals. 🛠️ Tech Stack : React, .NET 🧠 You’ll bring : Proven expertise in React and .NET in production environments Strong experience with system design, observability, and performance optimisation Great communication 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 ❯