Senior DataOps Engineer

3 days ago

Leeds, United Kingdom Harnham Full time

Senior Data Ops EngineerBased: Leeds - hybridSalary: up to £62,000I'm partnered with an established FS company who are scaling their cloud-native data platform and building a modern, centralised data function to better support a wide community of Data Scientists, Analysts, and federated Data Engineers across the organisation.They are looking for a Senior DataOps Engineer to help shape how data pipelines are run, monitored, governed, and optimised at scale.This is an opportunity to join a growing team working at the heart of the organisation’s data transformation, improving platform efficiency, enabling self-service, and ensuring data pipelines operate with the same discipline as production software.Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below.The RoleAs a Senior DataOps Engineer, you’ll take a strategic, high-level view of the data platform while still diving deep when needed. You will focus on observability, automation, pipeline performance, operational excellence, and cloud cost optimisation.You’ll work cross-functionally with Data Engineering, DevOps, and FinOps teams, helping ensure that data services are reliable, scalable, secure and cost-effective, and that federated teams across the organisation can self-serve with confidence.What You’ll Be DoingTaking an overview of how pipelines run across the platform, improving performance and throughputEnhancing observability and monitoring across Azure-based data workloadsIdentifying bottlenecks and opportunities to streamline operational processesUsing scheduling/orchestration tools to optimise workflows and improve run timesTreating data pipelines like production-grade software with robust monitoring, automation, and scalability in mindSupporting incident management and helping federated teams resolve issues efficientlyDriving efficiency through automation and reduction of manual operational overheadWorking with FinOps practices to optimise spend and evaluate cost-performance trade-offsAdvocating for better platform usage, adoption, and operational best practicesTech Stack & SkillsEssential xpwpeyx Strong experience working with Azure cloud platformBackground in data engineering and building/maintaining data pipelinesExperience with pipeline monitoring, observability, and incident troubleshootingStrong automation mindset and ability to build resilient, self-healing data workflowsNice to HaveKnowledge of FinOps principles and cloud cost optimisationExperience with orchestration tools such as Azure Data Factory, Databricks Workflows, or AirflowExposure to containerisation tools (Kubernetes, Docker)Experience with data cataloguing toolsFamiliarity with unit testing in data pipelinesAwareness of MLOps practices

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