Data Engineering and Science Team Leader £65,000-75,000 Hybrid A leading Bristol-based company is seeking a Data Engineering and Science Team Leader to oversee the IoT Data Specialists. This role involves collaborating with IoT Specialists and business stakeholders to prototype and deliver IoT data proof-of-value agile experiments, manage larger projects, and maintain live systems both on-premise and in the cloud. Responsibilities: Leadership in Data Evaluation: Lead the evaluation and review of data engineering and data science methods, tools, and standards within the organisation. Testing Oversight: Plan, design, and conduct unit tests on models and algorithms, collaborating with the QA team to correct defects and achieve error-free results. Performance Testing: Lead the planning and execution of performance and usability tests to ensure solutions are effective and user-friendly. Technical Specification Review: Review technical specifications from suppliers and IT partners to maintain expected quality standards. Standards Maintenance: Collaborate with Technical and Solution Architects to establish and uphold standards, patterns, and designs. Solution Development: Design, code, test, and document data solutions for Wessex Water, adhering to established techniques and standards. Data Security Compliance: Ensure model and algorithm development complies with company security standards, minimising data security risks. Team Development: Support team member growth through check-ins and line management responsibilities as outlined by the business Experience: Previous role in a lead position within a data engineering or data science team, demonstrating a strong technical skill set. Excellent teamwork and collaboration with technical colleagues, IT partners, and consultants, both on-site and remotely. Experience with the complete development lifecycle, including design, development, deployment, and debugging. Advanced knowledge of Azure Data development, including Synapse, Azure Data Factory, and ADX; familiarity with Databricks, Logic Apps, and the Power Platform. Knowledge of machine learning methods (e.g., clustering, decision trees, neural networks) and their real-world applications. Understanding of advanced statistical concepts (e.g., regression, distributions, statistical tests). Proficient in advanced coding with Python. Experience with SQL and NoSQL databases (e.g., CosmosDB, Cassandra). Knowledge of testing techniques for planning and executing tests (both functional and non-functional). Benefits: Total contributions up to 20% pension. Coverage up to eight times your salary for life assurance. Generous family leave and pay arrangements. One paid day each year for volunteering. £1,000 for each successful employee referral. 25 days' holiday, increasing to 28 with length of service, plus the option to buy up to 10 more