2 of 2 Permanent Senior Data Engineer Jobs in the East of England

Senior Data Engineer - London/Hertfordshire - Hybrid Are you a technically strong Azure Data Engineer looking to join a forward-thinking, innovative company? Here's your chance to work with a leading construction and infrastructure company who foster a culture of collaboration, support, and strong communication. You'll be responsible for ensuring seamless integration and … optimization of diverse business data streams - from CRM, finance, procurement to fleet and commercial data - enabling reliable, high-quality data for analytics and business insights. While this role won't be client-facing, strong communication and collaboration skills within their agile team are essential. Requirements: Experience orchestrating data pipelines with Azure Data Factory (ADF) Proficiency … managing API data ingestion and orchestration using Azure Databricks Working with Azure Data Lake (ADL) Storage, on-prem SQL, and Python Vast Azure data engineering experience Proficient in ADF, Databricks, ADL, SQL, Python Desirable: Exposure to D365 or similar CRM environments Azure Synapse experience Power BI knowledge Benefits: Salary: £70,000 - £80,000 depending on experience Hybrid More ❯

collaborative, purpose-driven workplace culture. Its multicultural team benefits from a dynamic, modern office environment designed to foster creativity and high performance. Role Overview 15 Marketing is seeking a Senior Data Engineer to join its hybrid team in Watford. This role involves designing, developing, and maintaining advanced data infrastructure and pipelines that support business-critical insights … across marketing, product, and compliance. The successful candidate will drive innovation in data architecture while mentoring junior team members and delivering scalable, real-time data solutions for the iGaming sector. What You'll Do: Design, implement, and maintain robust ETL pipelines for diverse data sources including Facebook, Google Analytics, and payment providers Build and optimise data models for both batch processing and real-time streaming using AWS Redshift, S3, and Kafka Lead data acquisition, processing, and provisioning initiatives aligned with evolving business needs Conduct customer behaviour and gaming analytics to generate actionable insights Oversee data infrastructure monitoring, maintenance, and administration Guide and mentor junior engineers, promoting a culture of learning and experimentation Ensure More ❯