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There is an available position for a labourer with experience in construction. The job will be on a week by week basis but there is potential to become a long-term subcontractor for the company. The candidate must: • Have prior construction experience, • Have an understanding of basic jobs and be able to do them without supervision e.g. filling, sanding, following an instruction shown, • Be capable of lifting objects, • Speak English, • Be a team player and turn their hand to all tasks, • Be polite, on time and reliable, • Able to commute daily to the Wimbledon area Additional positives for a candidate: • Be Polish speaking - the team is part English, part Polish, • Have decorating specific experience Working hours are from 08:00-17:00. 30 minutes lunch at 12:00 and 30 minutes break at 15:00. You will be required to be on-site from 07:40. Salary: Negotiable from £125 per day.
Are you looking to kick-start a new career in health & safety? We are recruiting for companies who are looking to employ our Health & Safety Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, Step 1 - IOSH - Managing Safely Here you will learn about the basics of health and safety. Step 2 - NEBOSH Now you will decide whether you would like to study the NEBOSH General, Construction or the Fire Safety course, depending on the path that you intend your career to follow. You will have an expert tutor on hand if required. Step 3 - Risk Assessments You will write a series of risk assessments that need to be up to a workplace standard. This is a requirement to gain your NEBOSH certification. Step 4 - NEBOSH Exams The exams can be sat in one of the official NEBOSH testing centres, or online. (Online only currently available for general certificate). Your Job Upon Completion Once you have completed all of the mandatory training and exams, we will place you into an entry level health & safety role as either a advisor, officer or coordinator, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.
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