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SC Cleared Senior Data Engineer

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Senior Data Engineer - Multi-CloudLocation: London, United Kingdom (Hybrid)Salary: £65,000 - £85,000 per annumAn experienced Senior Data Engineer is required to design, build, and optimise scalable data platforms for complex transformation programmes. This position demands strong expertise across cloud-based data engineering, architecture, and DevOps practices, working within both AWS and Azure environments.You'll play a key role in enabling seamless data integration, supporting advanced analytics, and delivering robust, reusable data solutions aligned with client data strategies.Key Responsibilitiesp]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Design and develop scalable, automated data pipelines using cloud-native technologies (e.g. Spark), integrating with on-premise sources where required.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Implement event-driven data architectures and optimise pipeline performance, parallelisation, and risk detection (e.g. fraud use cases).p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Build and maintain data access layers and ETL frameworks to support self-service and ad-hoc onboarding of data assets.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Develop reusable engineering patterns and tooling to improve scalability and consistency across programmes.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Apply DevOps and software engineering best practices, including Infrastructure as Code (IaC) and CI/CD pipelines.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Collaborate with cross-functional teams to ensure high-quality data integration, governance, and performance.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Deliver secure, resilient, and scalable data solutions across hybrid cloud environments (AWS and Azure).p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Configure and optimise data services including:p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>AWS: EC2, EMR, S3, Lambdap]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Azure: Blob Storage and related servicesp]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Ensure alignment with client data strategies, governance frameworks, and security standards.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Support knowledge sharing and capability uplift across teams.Skills & Experience - Essentialp]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Strong experience in data engineering and data architecture in complex programme environments.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Proven ability to develop and manage automated data pipelines using technologies such as Spark.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Expertise in event-driven architectures and pipeline performance optimisation.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Deep understanding of ETL processes, data integration, and self-service onboarding models.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Hands-on experience across both AWS and Azure platforms.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Practical knowledge of:p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>AWS: EC2, EMR, S3, Lambdap]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Azure: Blob Storage and related servicesp]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Understanding of cloud networking concepts in AWS and Azure.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Experience with Terraform (IaC) and GitLab (CI/CD).p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Solid grounding in DevOps and modern software engineering practices.Desirablep]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Experience in government or regulated sectors.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Familiarity with large-scale data platforms and data access layers.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Exposure to fraud detection or risk analytics use cases.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Knowledge of data governance, security, and compliance frameworks.Security Requirementsp]:pt-0 [&>p]:mb-2 [&>p]:my-0'>This role requires Security Clearance (SC).p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Candidates must hold active clearance or be eligible and willing to undergo the process.Engineering Practicesp]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Strong commitment to automation, scalability, and reusability.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Advocate for DevOps principles, CI/CD, and Infrastructure as Code.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Experienced working in agile, collaborative teams.p]:pt-0 [&>p]:mb-2 [&>p]:my-0'>Dedicated to delivering robust, production-grade data solutions.JBRP1_UKTJ
Location:
London
Job Type:
FullTime

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