8 of 8 Remote Big Data Jobs in the North West

Head of Data Engineering - Preston A Head of Data Engineering/Data Engineering Manager to lead the design, development, and enhancement of the data infrastructure and pipelines is required by a leading company based in Preston. The role offers Hybrid working, so 2 - 3 days in the office a week. You must have the following: Proven … experience as a lead data engineer/Data Engineering Manager with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts … and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft Fabric would be a bonus This new role involves building & managing a team of data engineers, fostering a culture of technical excellence and continuous improvement. Collaboration with cross-functional teams is essential to ensure robust, scalable, and aligned data solutions for delivering high-quality More ❯

Lead Data Engineer - Preston A Lead Data Engineer to lead the design, development, and enhancement of the data infrastructure and pipelines is required by a leading company based in Preston. The role offers Hybrid working, so 2 - 3 days in the office a week. You must have the following: Proven experience as a Senior or Lead data engineer Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies AWS or Azure cloud experience Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills … in Azure Databricks and Microsoft Fabric would be a bonus This new role involves leading a data team, fostering a culture of technical excellence and continuous improvement. Collaboration with cross-functional teams is essential to ensure robust, scalable, and aligned data solutions for delivering high-quality care. The ideal candidate will lead the design and execution of cloud More ❯

the hunt for builders . No, we've not ventured into construction in our quest to conquer the world, rather a designer and builder of systems for all things data related where we are conquering the Data World. We can offer an interesting insight into projects spanning a variety of sectors, which may include industries such as telecoms … ready to explore our dynamic team where you can truly act as an expert in your field in support of our clients and their challenges in the world of data and technology, read on The Team We're Intuita - a fast growing consultancy that's making waves in both the consultancy and technology space. With our ambitious goals for … have working across our business, becoming a pivotal part of our journey, to not just meet, but continuously exceed our client expectations The Role We are seeking a skilled Data Engineer(s) to join our team, ideally initially on a contract basis, however longer term there is potential to discuss longer term opportunities in the shape of a permanent More ❯

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven … automation. The Senior Data Scientist works closely with Product Managers, Software Engineers and other Data Scientists to ensure scalable, production-ready models that provide value to customers, insurers, and mobility partners. This position requires strong analytical skills, hands-on technical expertise, and a strategic mindset to solve complex problems using data science. This position is a vital … engineering, model performance, and real-time inference pipelines for large-scale datasets. Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making. Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements. Statistical Analysis and Data Modelling Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. Ensure robustness and More ❯

to apply as soon as you can. If you have any questions, please do contact the team at Job Description Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has … one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in … the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Three game-changing rotations This two-year programme blends office and home working. Across three eight-month placements, you'll see how we use data and AI to crack More ❯

Overview DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT teams around the world across … the world - and doing this alongside an experienced team. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider digital marketing teams internally. … market. Define AI maturity, roadmaps, and use cases for our clients. Guide on prioritisation based on business impact and technical effort. Design (together with technical experts) and advise on data science and generative AI solutions for various business problems. Bring innovative ideas and emerging technologies to the table, fueling innovation within our teams. Communicate solutions and strategies effectively to More ❯

you will be responsible for driving Product & Supplier Manager (P&SM) performance improvements through strategic collaboration and influencing at various levels, including leadership teams. Responsibilities will include conducting regular data driven performance reviews with different levels of the P&SM team, identifying root causes of issues, and developing effective action plans. You will also explore and implement alternative ways … thorough analysis and mapping of business processes to identify areas for improvement. Stakeholder Management: Build and maintain strong, influential relationships with leadership teams, finance, and commercial teams, ensuring that data-driven insights directly shape key business decisions. Strategy Execution: Execution of the vision for how data is utilised across Product and Supplier Management. Implement strategies that enhance data … backgrounds. Collaborative team player across a business with fast moving, customer driven markets. Understanding of process and the value of organisational efficiency. Desirable skills and experience Certifications in relevant data and analytics technologies (e.g., AWS Certified Big Data Specialty, Snowflake, Microsoft Certified: Azure Data Engineer Associate) are desirable. Bachelor's or master's degree in computer More ❯

Job Title: Data Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯