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Linen Factory is a busy, growing company based in Park Royal, supplying high-quality linen products to clients across the hospitality industry. We are looking for a reliable and organised individual to join our team and support our day-to-day operations. Key Responsibilities: Provide general administrative support to the office and management team Handle phone calls, emails, and correspondence professionally Maintain accurate records, files, and databases Process orders and assist with scheduling deliveries Support basic accounting and invoicing tasks Liaise with clients and suppliers as needed Requirements: Previous experience in an administrative or office support role (preferred) Good communication and organisational skills Proficient in Microsoft Office (Word, Excel, Outlook) Ability to work independently and as part of a team Strong attention to detail and reliability Working Hours: Full-time, Monday to Friday

Job Overview We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, constructing, and maintaining scalable data pipelines and architectures. You will work closely with data scientists and analysts to ensure the efficient flow of data across various platforms and systems, enabling insightful analysis and decision-making. We are looking for a Data Engineer to join our growing Data and Analytics team. This is ideal for someone with a solid foundation in data engineering who wants to develop deeper skills in Azure Databricks and Microsoft Fabric. You will play a key role in developing and maintaining modern data pipelines, shaping the meta data driver architecture, and building high-quality data models that power reporting and advanced analytics across the business. Duties • Develop and maintain robust data pipelines using technologies such as AWS, Hadoop, and Spark., • Design and implement database solutions for both structured and unstructured data using Oracle and Microsoft SQL Server., • Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications., • Perform data modelling and database design to optimise performance and scalability., • Conduct data analysis to identify trends, patterns, and anomalies in large datasets., • Utilise programming languages such as Python and Java for data manipulation and transformation tasks., • Implement ETL processes using tools like Informatica to ensure seamless data integration., • Write efficient SQL queries for data retrieval, reporting, and analysis., • Create documentation for data processes, workflows, and system architecture., • Employ shell scripting (Bash) for automation of routine tasks., • Build and maintain scalable data pipelines in Azure Databricks and Microsoft Fabric using PySpark and Python, • Support the meta driven architecture (raw, enriched, curated layers) to ensure a clean separation of raw, refined, and curated data, • Design and implement dimensional models such as star schemas and slowly changing dimensions, • Work closely with analysts, governance, and engineering teams to translate business requirements into data solutions, • Apply data governance and lineage principles to ensure documentation, traceability, and quality, • Proven experience in a Data Engineering role or similar position., • Strong knowledge of big data technologies including Hadoop, Apache Hive, and Spark., • Proficiency in programming languages such as Python, Java, VBA, and shell scripting (Bash)., • Experience with database design principles and management of relational databases (Oracle, Microsoft SQL Server)., • Familiarity with data warehousing concepts and best practices., • Excellent analytical skills with the ability to interpret complex datasets effectively., • Strong problem-solving abilities coupled with attention to detail., • Ability to work collaboratively in a team environment while also being self-motivated. If you are passionate about working with data and have the skills required to thrive in this role, we encourage you to apply. Join us in driving our data initiatives forward!, • Familiarity with Agile delivery principles, • Interest in gaining the Microsoft Fabric Data Engineer certification (supported by the business), • Strong SQL and Python skills with hands-on experience in PySpark, • Exposure to Azure Databricks, Microsoft Fabric, or similar cloud data platforms, • Understanding of Delta Lake, Git, and CI/CD workflows, • Experience with relational data modelling and dimensional modelling, • Awareness of data governance tools such as Purview or Unity Catalog, • Excellent analytical and problem-solving ability with strong attention to detail

Description Gaucho are looking for an enthusiastic and experienced Head Receptionist to join one of our Gaucho teams! The ideal Head Receptionist candidate will be passionate and want to grow within a busy, high end environment. They will demonstrate personality and warmth towards guests, and be a Gaucho ambassador. We are looking for someone with previous Head Receptionist experience, and experience managing a team. Key responsibilities of the Head Receptionist • To work with or develop suitable strategies & reservation that optimise restaurant capacity, • To regularly review adherence to all agreed systems and correct where necessary, • Floor plan and section management with recordable history of section allocation, • Allocate tasks to members of the team adjusting according to service requirements, • Collation of guest database through accurate records and database systems, • Staffing Levels managed including costed rotas, holiday management and productivity management, • To understand and pro-actively work towards all cover growth targets for the business Requirements for Gaucho Head Receptionist • Previous experience as a Head/Senior Receptionist, • Enthusiasm for hospitality, and a fast-paced working environment, • A warm and hospitable personality, • Strong leadership skills Training and benefits • 50% off your bill at all Gaucho and M Restaurants, • Industry Apprenticeship opportunities, cycle to work scheme and access to our employee discounts platform, • Training in the Rare L.A.B, • Career development and training, • Staff food breakfast and lunchtime of every day worked