2 of 2 Data Lake Jobs in Essex

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK. They are on a mission to help businesses to reduce their carbon emissions … Responsibilities include: Use Azure Data Factory to ingest, transform, and expose data across the platform Help centralise data into a Data Lake, ensuring it's clean, structured, and accessible Build data pipelines for LLMs and integrate tools like GPT to drive intelligent outputs Develop user-facing applications using Power … It's a broad role, with lots to get involved in! We're not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things! Benefits include: Salary up to £70,000 depending on experience 25 days annual leave plus More ❯

Data Management and Business Intelligence Lead - Remote working - IT Enterprise Platform and Business Intelligence Lead Strong experience of within the fields of Data Management, Application Estates and Business Intelligence platforms required for a role that will develop into a Senior Management Position. The focus will be on driving clarity, alignment, and performance across these domains. You … is not the primary expectation, your ability to understand technical landscapes and translate business needs into actionable direction will be critical to success. Required Skills: - Strong understanding of data management principles, including governance, quality, security, and life cycle. Solid grasp of enterprise applications and how they support operational and strategic business functions. Familiarity with Business Intelligence (BI) tools … and reporting platforms (eg, Power BI) Understanding of IT service delivery models, especially in outsourced or hybrid environments. Knowledge of data integration and interoperability between systems (eg, APIs, Middleware, data lakes/warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data More ❯