9 of 9 Data Ingestion Jobs in the North West

in software innovation too, redefining what's possible for our customers worldwide. Job Description As a Technical Lead, you will play a key role in architecting and implementing robust data solutions within Google Cloud Platform (GCP). Working within the Data Engineering department, you will help to shape the technical direction of cloud-based solutions. Your focus will … be defining the overall architecture for data ingestion from our Data Lake, including processing, storage, and analysis within GCP. By leveraging your expertise of Google BigQuery architecture and its features, you will design and implement data models optimised for performance, scalability and best practices. You will act as the subject matter expert for development and optimisation … to maintain data governance, while ensuring all designed solutions adhere to Company standards, security best practices, and regulatory requirements. This role is eligible for inclusion in the Company's hybrid working from home policy. Qualifications Proven experience as a GCP expert, focusing on data driven solutions. Extensive hands-on experience with Google BigQuery, including its architecture, features, and More ❯

As a Technical Lead, you will play a key role in architecting and implementing robust data solutions within Google Cloud Platform (GCP). Full-time Closes 24/12/2025 Working within the Data Engineering department, you will help to shape the technical direction of cloud-based solutions. Your focus will be defining the overall architecture for … data ingestion from our Data Lake, including processing, storage, and analysis within GCP. By leveraging your expertise of Google BigQuery architecture and its features, you will design and implement data models optimised for performance, scalability and best practices. You will act as the subject matter expert for development and optimisation to maintain data governance, while … regulatory requirements. This role is eligible for inclusion in the Company's hybrid working from home policy. Preferred Skills and Experience Proven experience as a GCP expert, focusing on data driven solutions. Extensive hands-on experience with Google BigQuery, including its architecture, features, and best practices. Detailed understanding of data modelling, data transformation, data governance, and More ❯

A growing Microsoft Partner Consultancy are looking for a passionate Data Engineer join their impressive team, and work on cutting-edge projects for a variety of customers. The role is home-based, with some element of travel to client sites when required, and to company conferences and events (expenses-paid). For this reason, they're able to consider … candidates across the UK. This role sits within their specialist Data Practice - where you'll work as part of an Agile team to deliver modern data solutions for their clients, enabling better decision-making and driving innovation. You'll work on projects end-to-end, from running workshops to gather requirements, through to solution design, development, implementation and … support. Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more This role would be well-suited to a Data Engineer looking to take More ❯

Test Engineer Data Platforms (FTC-6months Hybrid | London or Manchester) My client is looking for an experienced Test Engineer to take ownership of testing across modern data platforms. This is a hands-on role where you’ll design, implement, and execute test strategies for data pipelines, models, and reporting solutions built on Azure technologies. Key Responsibilities Define … and own the overall testing strategy for data pipelines, data models, and BI solutions. Develop and implement automated testing frameworks integrated with CI/CD pipelines. Design and execute test cases across data ingestion, transformation, storage, and presentation layers. Validate data accuracy, performance, and usability within Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and Power BI. Establish and monitor data quality checks, reconciliation, and compliance processes. Collaborate closely with data engineers, BI developers, architects, and product owners to embed testing best practices across delivery. Essential Skills & Experience Proven experience as a Test Engineer within data engineering or analytics environments. Strong knowledge of Azure data services – Databricks More ❯

Full Stack Software Engineer (Backend & Data Focus) AWS | Node | Data Pipelines | ETL | TypeScript North West/Hybrid – 2 Days in Office £45,000 - £55,000 AWS | Node | Data Pipelines | ETL | TypeScript The Client We’re partnered with a high-growth technology company who are reshaping how digital experiences are delivered at scale. Their award-winning SaaS platform … powers the online presence of major UK and global brands, combining advanced data engineering with modern web technologies to drive customer engagement. As part of continued expansion, they’re looking for a Full Stack Software Engineer with a strong backend and data focus to help build scalable, data-driven systems that handle millions of user interactions every … week. AWS | Node | Data Pipelines | Typescript The Role You’ll work across backend and data systems within a collaborative engineering team, developing scalable services and APIs that power large-scale digital platforms. The role leans heavily on data engineering designing and optimising pipelines, storage, and streaming solutions that underpin high-traffic applications. You’ll collaborate closely with More ❯

mission critical cloud platform? A highly respected, confidential organisation is seeking a technical leader to serve as the subject matter expert and architect for their next generation, cloud based data solutions. This is an opportunity to put your stamp on the underlying infrastructure that powers all future data capabilities. The Mission: Securing and Scaling the GCP Data Ecosystem Operating at the intersection of data engineering and platform architecture. The core mission involves defining the overall architecture and technical standards for data ingestion, processing, storage, and analysis within Google Cloud Platform. This mandate requires leveraging deep expertise in core GCP services and Google BigQuery to ensure the entire platform is optimised for performance, scalability …/CD pipelines and security across the entire GCP environment. This position involves collaborating closely with Software Architects and mentoring development teams, serving as the ultimate authority on GCP data solutions. Sound like a bit of you? Apply and we can have a confidential chat More ❯

mission critical cloud platform? A highly respected, confidential organisation is seeking a technical leader to serve as the subject matter expert and architect for their next generation, cloud based data solutions. This is an opportunity to put your stamp on the underlying infrastructure that powers all future data capabilities. The Mission: Securing and Scaling the GCP Data Ecosystem Operating at the intersection of data engineering and platform architecture. The core mission involves defining the overall architecture and technical standards for data ingestion, processing, storage, and analysis within Google Cloud Platform. This mandate requires leveraging deep expertise in core GCP services and Google BigQuery to ensure the entire platform is optimised for performance, scalability …/CD pipelines and security across the entire GCP environment. This position involves collaborating closely with Software Architects and mentoring development teams, serving as the ultimate authority on GCP data solutions. Sound like a bit of you? Apply and we can have a confidential chat More ❯

and operating large scale systems on AWS? You could be progressing your career as a Technical Architect at a growing tech company that provide a range of IoT and Data solutions for the Emergency Services. As the Technical Architect you'll take ownership and drive the end-to-end architecture for the core insights platform, across infrastructure, data, security and application layers. You'll design and implement scalable, cost effective AWS architectures that support high-throughput, mission critical IoT and data workloads, governing platform standards, documentation and best practices across multiple engineering teams. Your role will also encompass leading the definition and enforcement of infrastructure as code (IaC), observability and automation frameworks and integration of streaming … and messaging solutions such as Kafka, SQS or SNS for data ingestion and event-driven processing. You'll collaborate with development, DevOps and data engineering on various initiatives and champion security and compliance within the platform to adhere to GDPR, ISO27001 and data governance frameworks. *Location/WFH:* There's a remote first policy, you could More ❯

AI/ML products who thrives in dynamic, fast-paced environments and enjoys working closely with small, high-impact teams. You will lead initiatives involving AI-driven system upgrades, data platform modernization, and greenfield builds, collaborating directly with director-level stakeholders to align technical innovation with business outcomes. Your work will help shape intelligent solutions that drive measurable value … through automation, personalization, and data insights. Key Responsibilities Own and manage the product backlog with a focus on AI/ML feature development, turning business needs into actionable user stories and clear acceptance criteria. Lead end-to-end initiatives involving AI-powered applications, from data ingestion and model deployment to user-facing functionality. Collaborate with data … customer, advocating for responsible AI adoption and transparency across the product lifecycle. Skills & Experience Proven experience as a Product Owner (or similar role) working on AI/ML or data-driven products in agile/scrum teams. Demonstrated success leading AI product development, including model integrations, intelligent workflows, or predictive analytics. Strong ability to translate complex AI concepts into More ❯