4 of 4 Contract Big Data Jobs in the South East

Contract Remote working £300 to £350 a day A top timer global consultancy firm is looking for an experienced Hadoop Engineer to join their team and contribute to large big data projects. The position requires a professional with a strong background in developing and managing scalable data pipelines, specifically using the Hadoop ecosystem and related tools. The … role will focus on designing, building and maintaining scalable data pipelines using big data hadoop ecosystems and apache spark for large datasets. A key responsibility is to analyse infrastructure logs and operational data to derive insights, demonstrating a strong understanding of both data processing and the underlying systems. The successful candidate should have the following … key skills Experience with Open Data Platform Hands on experience with Python for Scripting Apache Spark Prior experience of building ETL pipelines Data Modelling 6 Months Contract - Remote Working - £300 to £350 a day Inside IR35 If you are an experienced Hadoop engineer looking for a new role then this is the perfect opportunity for you. If the More ❯

Data Scientist - GCP 500- 550 per day (Inside IR35) 2 Days Onsite - Isleworth, West London 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You'll be joining a collaborative team of data scientists and engineers to build and … refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and … modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including More ❯

analytical solutions and consultancy projects to clients across a range of sectors (travel, manufacturing, microfinance, engineering, services etc.). Typical responsibilities will include: Manage both scheduled and ad hoc data harvesting processes. Write efficient regular expressions to extract data from raw HTML, JSON, and XML. Clean and validate harvested data using automated processes. Troubleshoot and resolve complex … data processing issues. Maintain and enhance existing data pipelines and services. Improve automation for data processing and delivery. Core Requirements: Solid understanding of HTTP protocols and request/response architecture. Proficiency in writing Regular Expressions for data extraction. Working knowledge of Python, SQL, and either C# or Java. Strong problem-solving and debugging skills. Effective communication … skills for understanding project needs and working with the team. Advantageous: Experience with automated data harvesting using Python, C#, or Java. Familiarity with front-end technologies (JavaScript, React). Experience with cloud platforms like AWS or GCP (especially BigQuery). Exposure to Big Data tools such as Elasticsearch. Background in the travel industry. Knowledge of GitHub and More ❯

a great opportunity for an Azure Databricks Engineer to join a renewable energy firm based in London. You'll play a hands-on role in developing and optimising modern data lakehouse solutions on Azure, while supporting critical analytics and data delivery systems. The environment encourages technical ownership, collaboration, and the chance to tackle complex cloud-native engineering challenges. … THE COMPANY This is a leading organisation within the renewable energy sector, dedicated to sustainable innovation and data-driven operations. The business is undergoing rapid digital transformation, investing in cloud-based technologies to optimise performance, forecasting, and environmental impact. With operations across multiple regions, their data initiatives play a key role in supporting clean energy production, distribution, and … strategy. THE ROLE You'll join a collaborative engineering team focused on building scalable, secure, and efficient data platforms on Microsoft Azure. Your work will directly support migration initiatives, analytics enablement, and platform reliability. You'll be responsible for data pipeline development, resource deployment, and ongoing optimisation of cloud-native systems. Your responsibilities will include: Designing and implementing More ❯