5 of 5 Data Ingestion Jobs in Yorkshire

Are you passionate about building scalable, analytics-ready data models that power business intelligence and AI? I'm looking for an Analytics Engineer to join a global organisation that's investing heavily in a modern, AI-ready data platform - and this is your chance to help shape it from the ground up. You'll be part of a … newly formed, high-impact Data Team working in a fast-paced, collaborative, and entrepreneurial environment. Based in their modern Leeds office, you'll spend 4 days a week on-site, working closely with engineers, analysts, and business stakeholders. About the Platform: This greenfield initiative is focused on building a next-gen data ecosystem with a tech stack including … Snowflake for cloud data warehousing dbt for transformation and modelling Azure for cloud infrastructure and orchestration Fivetran for automated data ingestion Power BI and other modern BI tools for reporting and visualisation What You'll Do: Design and implement scalable, well-documented data models in Snowflake using dbt Build curated, reusable data layers that support More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Data Engineer | Location: Leeds (4 days per week in office with some flexibility) | Salary: £60,000-£80,000 The Opportunity Our client is seeking a skilled and motivated Data Engineer to play a key role in the creation of a brand-new data platform within the Azure ecosystem including Azure Data Factory (ADF), Synapse and PySpark …/Databricks and Snowflake. You will be a data ingestion and ETL Pipeline guru, tackling complex problems at source in order to retrieve the data and ensure to can flow upstream to the Snowflake DWH. You will not be an analytics engineer or someone who operates at the latter stages of the development lifecycle unless you have … skills and desire to work on data ingestion, ETL/ELT. Key Responsibilities Build & Develop robust ETL/Data Ingestion pipelines leveraging Azure Data Factory, Synapse, PySpark and Python. Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. CI More ❯

Machine Learning Engineer Location: York or Manchester This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data ingestion to model deployment, monitoring, and upgrades within Azure and Databricks environments. The … engineer will work closely with data scientists in a collaborative, cross-functional setting, helping transition models from research into production. Key Responsibilities: Own and develop deployment frameworks for data science services. Ownership of the deployment framework for all data science services. You will have oversight of how data will flow into the data science life … cycle from the wider business data warehouse. Oversight of the automation of the data science life cycle (dataset build, training, evaluation, deployment, monitoring) when we move to production. Automate the data science pipeline (data prep to deployment). Collaborate with cross-functional teams to ensure smooth productionisation of models. Write clean, production-ready Python code. Apply More ❯

product training and develop an excellent understanding of the platform’s functionalities and outputs. Develop a solid understanding of the technical capabilities and limitations of the platform, including integrations, data ingestion, and reporting. Work closely with the marketing and internal sales team on qualifying inbound leads. Efficiently and effectively follow-up and convert qualified inbound leads. When required … teams. SKILLS & EXPERIENCE: 5-10 years’ experience in a proactive, consultative, solution Sales Consultant/Specialist role or similar is essential. Previous experience selling CRM systems, Marketing Automation platforms, Data Management/Analytics software or similar is highly desirable. Excellent understanding of sales methodologies and experience in applying them to complex solution sales cycles, resulting in successful outcomes. Self More ❯