About The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible. Coordinate teams and set … best practices and standards when it comes to data engineering principles. Champion data engineering across projects and clients. Responsibilities Lead by example, holding responsibilities for team culture, and how projects deliver the most impact and value to our clients. Be accountable for the strategic direction, delivery and growth of our work. Lead teams, strands of work and outcomes … mid- to long-term delivery cycles (612 months), ensuring that near-term work supports broader programme and client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and datamodelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise More ❯
Job description Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models and other tools to … surface commercial opportunities within the low-carbon, power, gas, and oil markets, harnessing best practices and advanced modelling techniques. Engage with stakeholders (traders and analysts) to ensure that solutions/models are optimal and deliver deep commercial insight. Identify repetitive processes that can be standardized into modules that can be reused across projects. Essential Experience Undergraduate degree in STEM … with how physical and related financial instruments are traded. Track record of working with traders or other business stakeholders to create commercially actionable models. Experience with a range of modelling techniques including, regression, time series analysis, forecast modelling and machine learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating More ❯
is backed by world-class investors and works with some of the worlds most recognisable brands. Their platform sits at the centre of enterprise sustainability operations structuring messy, inconsistent data into accurate environmental insights and enabling organisations to meet reporting, compliance, and decarbonisation requirements with confidence. With strong market traction and a huge opportunity ahead, theyre moving from service … technical and non-technical audiences. Hands-on, adaptable, and motivated by making meaningful, measurable progress. Must-Have Skills 5+ years experience as a Product Manager, ideally in SaaS or data-focused environments. Practical experience with customer/user discovery. Exposure to product analytics and measurement practices. Experience running or supporting agile rituals and delivery cycles. Familiarity with modern digital …/AI tools (Figma Make, Loveable, ChatGPT, etc.). Excellent communication skills. Comfortable working through ambiguity and driving clarity. Nice-to-Have Experience with data products or technical SMEs (carbon, ESG, analytics). Exposure to enterprise B2B users. Familiarity with sustainability, climate, or environmental data domains. Understanding of data models, APIs, or cross-functional tech teams. Experience More ❯
