4 of 4 Data Engineer Jobs in Watford

Location: Worcester Duration: 6 month initial contract Rate: (Outside IR35) Security: Active DV clearance required Role details: We are looking for 3 x Data Engineers to join our defence & security client on a contract basis. You will helpdesign, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi These roles … are supporting our clients team in Worcester (fully onsite), and requires active UK DV clearance. Key Responsibilities: Design, develop, and maintain secure and scalable data pipelines using the Elastic Stack (Elasticsearch, Logstash, Kibana) and Apache NiFi Implement data ingestion, transformation, and integration processes, ensuring data quality and security Collaborate with data architects and security teams to … ensure compliance with security policies and data governance standards Manage and monitor large-scale data flows in real-time, ensuring system performance, reliability, and data integrity Develop robust data models to support analytics and reporting within secure environments Perform troubleshooting, debugging, and performance tuning of data pipelines and the Elastic Stack Build dashboards and visualisations More ❯

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 adherence to data More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Driving modernisation of data processes and tools across the business Supporting key areas like risk, commercial, and customer functions with reliable data solutions Collaborating with stakeholders to shape scalable, efficient data architecture Building conceptual and physical data models to support reporting and analysis Main Skills … Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database management and governance principles More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions and … knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of database More ❯