6 of 6 Big Data Jobs in Lancashire

a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department, based in Bangkok, oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company … through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture … of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when More ❯

Data Architect (Salesforce)Rate - £675 (a day)Duration - 3 Months (Initially)Location - Manchester (Hybrid)Ir35 - Inside (Must use an umbrella company)We are looking for an experienced Enterprise Data Architect to lead the design and delivery of scalable data architecture solutions. Salesforce CRM experience is essential for this role and project. The role involves translating complex business … requirements into effective data models, implementing enterprise data management practices, and supporting strategic decision-making.Candidates should have strong expertise in relational data structures, data modelling tools, and enterprise repositories, along with a solid understanding of data governance, quality, and security standards.Familiarity with compliance regulations such as GDPR and CCPA is essential, as is the ability … to analyse and align data solutions with organisational needs.Desirable qualifications are TOGAF, Enterprise Big Data Professional and Certification in Business Data Analytics (CBDA). Salesforce Certifications are also desirable.Experience in Higher Education and/or CRM implementation projects is also desirable. What are the 3 most important things that you will be and looking for on More ❯

Data Engineer Bolton- Hybrid £45,000 - £55,000 (dependent on experience) We're looking for a Data Engineer experienced in Generative AI to join our growing international and cross functional client. In this role, you'll be responsible for evaluating, building, and maintaining high quality data sets that support their internal stakeholders across the business. You'll … play a key part in ensuring data pipelines are secure, reliable, and scalable. Data Engineer Duties: Design, develop, and maintain robust data pipelines and architectures. Evaluate, build, and optimise data sets for internal customers. Ensure data systems comply with governance and security standards. Collaborate with internal teams to understand data needs and deliver effective … solutions. Stay ahead of emerging data and AI technologies, contributing to our innovation roadmap. Support the integration of generative AI capabilities into existing systems. As a Data Engineer, you will have: Strong experience with SQL (e.g., MS SQL, Oracle). Knowledge of NoSQL technologies (e.g., MongoDB, InfluxDB, Neo4J). Experience with data exchange and processing (ETL, ESB 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 ❯

as: High level solution languages such as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization technologies such as AWS, OpenShift, Kubernetes, Docker DevOps methodologies, such as infrastructure as code and GitOps Database technologies More ❯