2 of 2 Data Warehouse Jobs in Essex

Lead Data Engineer, based Waltham Abbey (Hybrid role). Salary £60-80k p.a. + many benefits. An exciting time to join an award-winning business in a phase of growth, in a newly created role to lead a team and be hands on in replacing old tech systems and create ETL pipelines. We’re a small high … in Waltham Abbey (Essex) and up to 2 x days per week from home (or other Jollyes location as preferred). 37.5 hours per week. The Role – Lead Data Engineer This role sits within our IT team. Success measures will include project delivery and impact, data quality and management, innovation and technology, stakeholder engagement, financial impact … with non-data stakeholders to translate their needs and generate useful results presented in an understandable way Familiarity with orchestration tools (Airflow, DBT) and data warehouse modelling Managing other data engineers Experience with customer and commercial datasets, especially in retail or FMCG A love of pets! About Jollyes Pets Jollyes are an award More ❯

BI Developer - London - £65,000 Are you passionate about building scalable BI solutions and working with cutting-edge data technologies? We are seeking a BI Developer to join a dynamic team and help shape the future of data analytics within a global organisation. About the role: Design and develop BI solutions using Microsoft Fabric and related … technologies. Build and manage data pipelines leveraging Data Factory. Develop semantic models in Power BI Collaborate with data architects, analysts, and stakeholders to deliver actionable insights. Optimise data models for performance and reusability. Support governance, security, and compliance best practices. Key Responsibilities Deliver scalable Azure-based data platforms, including Data Warehouses and reporting tools. Provide technical support and manage a modern technology stack (Azure Synapse, SSIS, SQL, Data Lake). Assist with migration and reconciliation of data from legacy systems or acquisitions. Act as a hands-on Data Engineer across the full stack. Requirements: Strong expertise in SQL, Power BI, and cloud More ❯